Historical Overview of the Authors of Revista Brasileira de Cancerologia: a Quantitative Analysis

Authors

DOI:

https://doi.org/10.32635/2176-9745.RBC.2025v71n3.5189

Keywords:

Bibliometrics, Science Communication and Dissemination, Periodicals as Subject/trends , Electronic Journals

Abstract

Introduction: The Brazilian Journal of Cancerology (RBC) is a scientific journal published by the National Cancer Institute (INCA). Created in 1947 and through its seventieth volume in 2024, it has generated an extensive documentary collection that serves as an important historical record of disease control policies in the country and the researchers who contributed for the development of these policies. Objective: To identify the main researchers and co-authorship networks that have been formed throughout the journal’s history. Method: Analysis of all articles published by RBC up to 2024, collecting authors’ names and publication titles. The Levenshtein algorithm was used to identify discrepancies in the spelling of the same author’s name. Based on Graph Theory, the following metrics of author importance were calculated: degree, betweenness centrality, and PageRank. Subsequently, Social Network Analysis techniques enabled the visualization of co-authorship networks. Results: A total of 5,777 authors was identified in the 2,445 contributions published during the period analyzed. A ranking was created featuring the 40 authors with the highest number of publications in the journal, and the main co-authorship communities were identified. The results demonstrate that RBC plays a central role in consolidating scientific networks and strengthening collaboration among researchers in the field. Conclusion: This study formally acknowledges the researchers who have shaped RBC’s history and contributes to the understanding of the journal’s impact on the national scientific landscape.

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References

Casado L, Dantas A, Bergmann A, et al. Os 75 anos da RBC e o desafio da ciência aberta. Rev Bras Cancerol. 2022;68(4):e-003575.doi: https://doi.org/10.32635/2176-9745.RBC.2022v68n4.3575 DOI: https://doi.org/10.32635/2176-9745.RBC.2022v68n4.3575

Manoj Kumar L, George RJ, Anisha PS. Bibliometric analysis for medical research. Indian J Psychol Med. 2022;45(3):277-82. doi: https://doi.org/10.1177/02537176221103617 DOI: https://doi.org/10.1177/02537176221103617

Camargo SS, Grimaldi HC. 65 anos dos Arquivos Catarinenses de Medicina: quem escreveu esta história? Arq Catarin Med. 2023;52(4):14-29. doi: https://orcid.org/0000-0001-8871-3950 DOI: https://doi.org/10.63845/ep1gpp17

Pacheco Aispuro G, Rojas Jácome IB, Martínez Zamora CA, et al. Bibliometric analysis: six decades of scientific production from a nationwide institution: Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado (ISSSTE) from Mexico. Healthcare. 2023;11(12):1725. doi: https://doi.org/10.3390/healthcare11121725 DOI: https://doi.org/10.3390/healthcare11121725

Alhajj MN, Al-Sanabani FA, Alkheraif AA, et al. Bibliometric analysis and evaluation of The Journal of Prosthetic Dentistry from 1970 to 2019. J Prosthet Dent. 2023;129(2):323-40. doi: https://doi.org/10.1016/j.prosdent.2021.05.013 DOI: https://doi.org/10.1016/j.prosdent.2021.05.013

Li L, Wan N, He Y, et al. A global bibliometric and visualized analysis of the status and trends of bone metastasis in breast cancer research from 2002 to 2021. J Bone Oncol. 2023;42:100500. doi: https://doi.org/10.1016/j.jbo.2023.100500 DOI: https://doi.org/10.1016/j.jbo.2023.100500

Aydin O. R Web scraping quick start guide: techniques and tools to crawl and scrape data from websites. Birmingham: Packt Publishing; 2018.

Suelzer EM, Jackson JL. Measures of impact for journals, articles, and authors. J Gen Intern Med. 2022;37(7):1593-7. doi: https://doi.org/10.1007/s11606-022-07475-8 DOI: https://doi.org/10.1007/s11606-022-07475-8

R Documentation [Internet]. Versão 3.6.2. [sem local]: [DataCamp]; [sem ano]. [Acesso em 2024 dez 28]. Disponível em: https://www.rdocumentation.org/packages/utils/versions/3.6.2/topics/adist

Isba R, Woolf K, Hanneman R. Social network analysis in medical education. Med Educ. 2017;51(1):81-8. doi: https://doi.org/10.1111/medu.13152 DOI: https://doi.org/10.1111/medu.13152

Grimaldi HC, Camargo SS. Anais brasileiros de dermatologia: who wrote this century-old history? An Bras Dermatol. 2025;100(2). doi: https://doi.org/10.1016/j.abd.2025.02.001 DOI: https://doi.org/10.1016/j.abd.2025.02.001

Gephi: The Open Graph Visualization Platform [Internet]. Versão 0.10. [sem local]: Gephi.org; ©2008-2022. [acesso 2024 dez 28]. Disponível em: https://gephi.org/

Gross JL, Yellen J. Graph theory and its applications. 3. ed. Boca Raton: Chapman and Hall; CRC; 2023.

Fonseca BPF, Sampaio RB, Araújo Fonseca MV, et al. Coauthorship network analysis in health research: method and potential use. Health Res Policy Syst. 2016;14(34):1-10. doi: https://doi.org/10.1186/s12961-016-0104-5 DOI: https://doi.org/10.1186/s12961-016-0104-5

Fujita M, Ishido K, Inoue H, et al. Evaluating researchers through betweenness centrality measures of co-author networks from academic literature database: finding gatekeeper researchers in organizational research. In: 2018 IEEE International Conference on Big Data (Big Data); 2018. Seattle: IEEE; 2018. p. 4313-20. doi: https://doi.org/10.1109/BigData.2018.8622311 DOI: https://doi.org/10.1109/BigData.2018.8622311

Fiala D, Tutoky G. PageRank-based prediction of award-winning researchers and the impact of citations. J Informetrics. 2017;11(4):1044-68. doi: https://doi.org/10.1016/j.joi.2017.09.008 DOI: https://doi.org/10.1016/j.joi.2017.09.008

Han L, Zang S, Zhao Y. A method of evaluation index of author’s academic influence based on author citation network. In: 14 International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC); 2022. Hangzhou; IEEE; 2022. p. 72-5. doi: https://doi.org/10.1109/IHMSC55436.2022.00026 DOI: https://doi.org/10.1109/IHMSC55436.2022.00026

Zuin G, Lomeu H, Barros G, et al. A modified Louvain approach for medical community detection using geographic data. In: 36 International Symposium on Computer-Based Medical Systems (CBMS); 2023. L'Aquila: IEEE; 2023. p. 143-8. doi: https://doi.org/10.1109/CBMS58004.2023.00206 DOI: https://doi.org/10.1109/CBMS58004.2023.00206

Conselho Nacional de Saúde (BR). Resolução n° 510, de 7 de abril de 2016. Dispõe sobre as normas aplicáveis a pesquisas em Ciências Humanas e Sociais cujos procedimentos metodológicos envolvam a utilização de dados diretamente obtidos com os participantes ou de informações identificáveis ou que possam acarretar riscos maiores do que os existentes na vida cotidiana, na forma definida nesta Resolução [Internet]. Diário Oficial da União, Brasília, DF. 2016 maio 24 [acesso 2024 dez 7]; Seção 1:44. Disponível em: http://bvsms.saude.gov.br/bvs/saudelegis/cns/2016/res0510_07_04_2016.html

Camargo S. RBC25 repository [Internet]. [sem local]: GitHub; [sem dada]. [acesso 2024 dez 7]. Disponível em: https://github.com/Sandrocamargo/publications/tree/main/rbc25

Published

2025-05-14

How to Cite

1.
Grimaldi HC, Camargo S da S. Historical Overview of the Authors of Revista Brasileira de Cancerologia: a Quantitative Analysis. Rev. Bras. Cancerol. [Internet]. 2025 May 14 [cited 2025 Dec. 5];71(3):e-085189. Available from: https://rbc.inca.gov.br/index.php/revista/article/view/5189

Issue

Section

ORIGINAL ARTICLE