A global bibliometric analysis of the scientifc landscape and collaborative networks in prostate cancer and bioinformatics research
https://doi.org/10.21294/1814-4861-2026-25-1-155-169
Abstract
Background. Prostate cancer is a leading malignancy among men worldwide, presenting signifcant public health challenges due to its complex biology and diverse clinical outcomes. Recent advances in bioinformatics have greatly infuenced cancer research by enabling the integration of multiple disciplines and improving the analysis of biological data.
Objective. To present a comprehensive bibliometric analysis summarizing global research trends in prostate cancer and bioinformatics from 1998 to 2025.
Material and Methods. A bibliometric study was conducted analyzing 3,426 articles sourced from 961 publications. Data on research output, collaboration patterns, citation impact, and thematic clusters were extracted and analyzed.
Results. The feld exhibited a robust annual growth rate of 18.42 %, with an average document age of 5.65 years and 26.34 citations per article, indicating high scientifc impact. Collaborative research is prevalent, with 13,598 authors averaging 7.21 co-authors per publication and over 21 % of research produced via international partnerships. Publication formats included journal articles, reviews, and conference papers. Keyword cooccurrence analysis revealed fve main thematic clusters: computational and omics methodologies; tumor biology and immunology; molecular mechanisms and cancer progression; biomarkers and gene regulation; and interdisciplinary cancer research. Publication patterns indicated steady output before 2013 followed by a marked surge peaking near 500 articles in 2023, driven by advancements in genomics, big data analytics, and precision oncology. Citation data highlighted the United States and China as leading contributors, with China leading in publication count through predominantly domestic research, while the United States featured more international collaborations. Other signifcant contributors included Australia, Germany, Canada, and several European and Asian countries.
Conclusion. Research at the intersection of prostate cancer and bioinformatics is rapidly expanding, highly collaborative, and globally distributed. The multidisciplinary and integrative nature of this feld continues to advance understanding, diagnosis, and treatment of prostate cancer through cutting-edge bioinformatics approaches.
Keywords
About the Authors
Lalu Muhammad IrhamIndonesia
Lalu Muhammad Irham, PhD, Assistant Professor, Head of Scientifict Publication, Faculty of Pharmacy
Author ID (Scopus): 57195464918. Researcher ID (WOS): GON-7984-2022.
Yogyakarta
Wirawan Adikusuma
Indonesia
Wirawan Adikusuma, PhD, Assistant Professor, Researcher
Author ID (Scopus): 57194502515. Researcher ID (WOS): AAI-2258-2019.
Cibinong
Sabiah Khairi
Indonesia
Sabiah Khairi, PhD, Assistant Professor, Researcher
Author ID (Scopus): 58036850700. Researcher ID (WOS): MCY-5377-2025
Cibinong
Syarifatul Mufidah
Indonesia
Syarifatul Mufidah, PhD, Assistant Professor, Lecturer, Faculty of Pharmacy
Author ID (Scopus): 57195618770. Researcher ID (WOS): OZE-3328-2025.
Yogyakarta
Rahmat Dani Satria
Indonesia
Rahmat Dani Satria, MD, PhD, Assistant Professor, Department of Clinical Pathology and Laboratory Medicine, Faculty of Medicine, Public Health and Nursing; Staff, Integrated Laboratory Installation
Author ID (Scopus): 57223022141. Researcher ID (WOS): AAP-6032-2021
Yogyakarta
Eko Mugiyanto
Indonesia
Eko Mugiyanto, PhD, Assistant Professor, Head of professional program, Department of Pharmacy, Faculty of Health Science
Author ID (Scopus): 57217157918. Researcher ID (WOS): ABH5751-2020.
Pekalongan
Indra Jaya
Indonesia
Indra Jaya, MD, Assistant Professor, Urology Division, Surgery Department; Assistant Professor, Faculty of Medicine; Assistant Professor, Faculty of Medicine
Author ID (Scopus): 57951946300. Researcher ID (WOS): JXM-0400-2024.
Riau, Pekanbaru;
West Java, Bandung
Darmawi Darmawi
Indonesia
Darmawi Darmawi, PhD, Assistant Professor, vice dean, Faculty of Medicine
Author ID (Scopus): 55414062100. Researcher ID (WOS): HGB-5380-2022.
Riau, Pekanbaru
Petrina Theda Philothra
Indonesia
Petrina Theda Philothra, MD, Clinician, Department of Rehabilitation Medicine
Author ID (Scopus): 57883717600.
Yogyakarta
Desti Rahmawati
Indonesia
Desti Rahmawati, BSc Pharm, Pharmacist, Faculty of Pharmacy
Author ID (Scopus): 60217399900.
Yogyakarta
Siska Widiastuti
Indonesia
Siska Widiastuti, BSc Pharm, Pharmacist, Faculty of Pharmacy
Author ID (Scopus): 57222962150.
Yogyakarta
Putri Permata Suka Admanegara
Indonesia
Putri Permata Suka Admanegara, BSc Pharm, Pharmacist, Faculty of Pharmacy
Author ID (Scopus): 60043056300.
Yogyakarta
Rista Yulianti
Indonesia
Rista Yulianti, BSc Pharm, Pharmacist, Faculty of Pharmacy
Author ID (Scopus): 60217399800
Yogyakarta
Brilliant Citra Wirashada
Indonesia
Brilliant Citra Wirashada, MD, Lecturer, Department of Surgery, Faculty of Medicine
Author ID (Scopus): 57214883073.
Surabaya
Baik Heni Rispawati
Indonesia
Baik Heni Rispawati, MSc, Assistant Professor
Author ID (Scopus): 60217347800.
Mataram
Rockie Chong
United States
Rockie Chong, PhD, Researcher, Department of Chemistry and Biochemistry
Author ID (Scopus): 55791357700.
Los Angeles
References
1. Raychaudhuri R., Lin D.W., Montgomery R.B. Prostate Cancer: A Review. JAMA. 2025; 333(16): 1433–46. doi: 10.1001/jama.2025.0228.
2. Bergengren O., Pekala K.R., Matsoukas K., Fainberg J., Mungovan S.F., Bratt O., Bray F., Brawley O., Luckenbaugh A.N., Mucci L., Morgan T.M., Carlsson S.V. 2022 Update on Prostate Cancer Epidemiology and Risk Factors-A Systematic Review. Eur Urol. 2023; 84(2): 191–206. doi: 10.1016/j.eururo.2023.04.021.
3. Rebello R.J., Oing C., Knudsen K.E., Loeb S., Johnson D.C., Reiter R.E., Gillessen S., van der Kwast T., Bristow R.G. Prostate cancer. Nat Rev Dis Primers. 2021; 7(1): 9. doi: 10.1038/s41572-020-00243-0.
4. Dunn M.W., Kazer M.W. Prostate cancer overview. Semin Oncol Nurs. 2011; 27(4): 241–50. doi: 10.1016/j.soncn.2011.07.002.
5. James N.D., Tannock I., N’Dow J., Feng F., Gillessen S., Ali S.A., Trujillo B., Al-Lazikani B., Attard G., Bray F., Compérat E., Eeles R., Fatiregun O., Grist E., Halabi S., Haran Á., Herchenhorn D., Hofman M.S., Jalloh M., Loeb S., MacNair A., Mahal B., Mendes L., Moghul M., Moore C., Morgans A., Morris M., Murphy D., Murthy V., Nguyen P.L., Padhani A., Parker C., Rush H., Sculpher M., Soule H., Sydes M.R., Tilki D., Tunariu N., Villanti P., Xie L.P. The Lancet Commission on prostate cancer: planning for the surge in cases. Lancet. 2024; 403(10437): 1683–722. doi: 10.1016/S0140-6736(24)00651-2.
6. Zhang S., Zhang T., Kinsella G.K., Curtin J.F. A review of the efcacy of prostate cancer therapies against castration-resistant prostate cancer. Drug Discov Today. 2025; 30(6): 104384. doi: 10.1016/j.drudis.2025.104384.
7. Bahmad H.F., Demus T., Moubarak M.M., Daher D., Alvarez Moreno J.C., Polit F., Lopez O., Merhe A., Abou-Kheir W., Nieder A.M., Poppiti R., Omarzai Y. Overcoming Drug Resistance in Advanced Prostate Cancer by Drug Repurposing. Med Sci (Basel). 2022; 10(1): 15. doi: 10.3390/medsci10010015.
8. Adam A., Ras R., Bhattu A.S., Raman A., Perera M. “Researching the Research” in Prostate Cancer: A Comparative Bibliometric Analysis of the Top 100 Cited Articles in the Field of Prostate Cancer. Curr Urol. 2017; 11(1): 26–35. doi: 10.1159/000447191.
9. Zhu C., Yang J., Liu L., Li B., Sun T., Sheng W., He Q. Bibliometric analysis of glycolysis and prostate cancer research from 2004 to 2024. Discov Oncol. 2025; 16(1): 34. doi: 10.1007/s12672-025-01790-2.
10. Hao P., Xin R., Li Y., Na X., Lv X. Developmental trends and knowledge frameworks in the application of radiomics in prostate cancer: a bibliometric analysis from 2000 to 2024. Discov Oncol. 2024; 15(1): 781. doi: 10.1007/s12672-024-01678-7.
11. van Eck N.J., Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics. 2010; 84(2): 523–38. doi: 10.1007/s11192-009-0146-3.
12. Aria M., Cuccurullo C. Bibliometrix: An R-tool for Comprehensive Science Mapping Analysis. J Informetrics. 2017; 11: 959–75. doi: 10.1016/j.joi.2017.08.007.
13. Taquia-Faustino A., Alvitez-Temoche D., Mauricio F., Medina J., Espinoza-Carhuancho F., Mayta-Tovalino F. Trends, Collaborative Networks, and Impact of Infrared Thermography and Thermal Therapies in Dentistry: A Bibliometric Study. J Contemp Dent Pract. 2024; 25(8): 803–808. doi: 10.5005/jp-journals-10024-3738.
14. Shahait M., Ibrahim S., Baqain L., Abdul-Sater Z. Bibliometric analysis of focal therapy in prostate cancer research. BJUI Compass. 2024; 5(6): 602–609. doi: 10.1002/bco2.353.
15. Pettini F., Visibelli A., Cicaloni V., Iovinelli D., Spiga O. MultiOmics Model Applied to Cancer Genetics. Int J Mol Sci. 2021; 22(11): 5751. doi: 10.3390/ijms22115751.
16. Medori M.C., Micheletti C., Gadler M., Benedetti S., Guerri G., Cristofoli F., Generali D., Donofrio C.A., Cominetti M., Fioravanti A., Riccio L., Bernini A., Fulcheri E., Calogero A.E., Cannarella R., Stuppia L., Gatta V., Cecchin S., Marceddu G., Bertelli M. Omics sciences and precision medicine in prostate cancer. Clin Ter. 2023; 174(Suppl 2(6)): 95–103. doi: 10.7417/CT.2023.2476.
17. Borkar S., Chakole S., Prasad R., Bansod S. Revolutionizing Oncology: A Comprehensive Review of Digital Health Applications. Cureus. 2024; 16(4): e59203. doi: 10.7759/cureus.59203.
18. Kim J., Kusko R., Zeskind B., Zhang J., Escalante-Chong R. A primer on applying AI synergistically with domain expertise to oncology. Biochim Biophys Acta Rev Cancer. 2021; 1876(1): 188548. doi: 10.1016/j.bbcan.2021.188548.
19. Passas I. Bibliometric Analysis: The Main Steps. Encyclopedia. 2024; 4(2): 1014–25. doi: 10.3390/encyclopedia4020065.
Supplementary files
|
|
1. Fig. 1. The study workflow involves utilizing the Scopus database for data retrieval and employing advanced visualization tools such as VOSviewer and Biblioshiny within R Studio to analyze and present the results. Note: created in BioRender. Muhammad Irham, l. (2025) https://BioRender.com/32awpiu | |
| Subject | ||
| Type | Other | |
View
(268KB)
|
Indexing metadata ▾ | |
|
|
2. Fig. 2. Author keywords: minimum numbers of occurences of a keyword 15; of ther 6755 keywords, 86 meet the threshold. Note: created by the authors | |
| Subject | ||
| Type | Other | |
View
(1MB)
|
Indexing metadata ▾ | |
|
|
3. Fig. 3. Annual Growth Publication Related Trend of study of Prostate cancer and Bioinformatics. Note: created by the authors | |
| Subject | ||
| Type | Other | |
View
(50KB)
|
Indexing metadata ▾ | |
|
|
4. Fig. 4. Trends in research output based on institutional affiliations in prostate cancer and bioinformatics studies. Note: created by the authors | |
| Subject | ||
| Type | Other | |
View
(52KB)
|
Indexing metadata ▾ | |
|
|
5. Fig. 5. Most cited country related Trend of study of Prostate cancer and Bioinformatics. Note: created by the authors | |
| Subject | ||
| Type | Other | |
View
(35KB)
|
Indexing metadata ▾ | |
|
|
6. Fig. 6. Most Global cited document related Trend of study of Prostate cancer and Bioinformatics. Note: created by the authors | |
| Subject | ||
| Type | Other | |
View
(55KB)
|
Indexing metadata ▾ | |
|
|
7. Fig. 7. Source production overtime related Trend of study of Prostate cancer and Bioinformatics. note: created by the authors | |
| Subject | ||
| Type | Other | |
View
(60KB)
|
Indexing metadata ▾ | |
|
|
8. Fig. 8. Corresponding author country related Trend of study of Prostate cancer and Bioinformatics. Note: created by the authors | |
| Subject | ||
| Type | Other | |
View
(44KB)
|
Indexing metadata ▾ | |
|
|
9. Fig. 9. Country Scientific Production Related study of Prostate cancer and Bioinformatics. Note: created by the authors | |
| Subject | ||
| Type | Other | |
View
(240KB)
|
Indexing metadata ▾ | |
Review
For citations:
Irham L., Adikusuma W., Khairi S., Mufidah S., Satria R., Mugiyanto E., Jaya I., Darmawi D., Philothra P., Rahmawati D., Widiastuti S., Admanegara P., Yulianti R., Wirashada B., Rispawati B., Chong R. A global bibliometric analysis of the scientifc landscape and collaborative networks in prostate cancer and bioinformatics research. Siberian journal of oncology. 2026;25(1):155-169. https://doi.org/10.21294/1814-4861-2026-25-1-155-169
JATS XML








































