Beatriz Stransky

537 total citations
24 papers, 259 citations indexed

About

Beatriz Stransky is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Beatriz Stransky has authored 24 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Beatriz Stransky's work include Ferroptosis and cancer prognosis (4 papers), RNA modifications and cancer (4 papers) and Cancer Genomics and Diagnostics (4 papers). Beatriz Stransky is often cited by papers focused on Ferroptosis and cancer prognosis (4 papers), RNA modifications and cancer (4 papers) and Cancer Genomics and Diagnostics (4 papers). Beatriz Stransky collaborates with scholars based in Brazil, United States and Belgium. Beatriz Stransky's co-authors include Sandro J. de Souza, Jorge Estefano Santana de Souza, Ana Maria Caetano Faria, Elaine Speziali, N.M. Vaz, Nelson M. Vaz, Paulo Pimentel de Assumpção, Sidney Emanuel Batista dos Santos, Gustavo A. de Souza and André Salim Khayat and has published in prestigious journals such as The Journal of Immunology, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Beatriz Stransky

24 papers receiving 252 citations

Peers

Beatriz Stransky

IMMUN

GENET

ONCOL

Marcelo A. Navarrete Chile

Xin Ji China

Nisha Nair United Kingdom

Mariel García‐Chagollán Mexico

Charles Allen United States

Mohammed Toufiq United States

Rocío Lavado-Valenzuela Spain

Shu Meng United States

Marcelo A. Navarrete Chile

Beatriz Stransky

104 ×1.0

144 ×1.6

IMMUN

23 ×0.7

26 ×0.8

GENET

66 ×2.4

ONCOL

Citations per year, relative to Beatriz Stransky Beatriz Stransky (= 1×) peers Marcelo A. Navarrete

Countries citing papers authored by Beatriz Stransky

Since Specialization

Citations

This map shows the geographic impact of Beatriz Stransky's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Beatriz Stransky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatriz Stransky more than expected).

Fields of papers citing papers by Beatriz Stransky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beatriz Stransky. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Beatriz Stransky. The network helps show where Beatriz Stransky may publish in the future.

Co-authorship network of co-authors of Beatriz Stransky

This figure shows the co-authorship network connecting the top 25 collaborators of Beatriz Stransky. A scholar is included among the top collaborators of Beatriz Stransky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Beatriz Stransky. Beatriz Stransky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lajus, Tirzah Braz Petta, et al.. (2025). DTreePred: an online viewer based on machine learning for pathogenicity prediction of genomic variants. BMC Bioinformatics. 26(1). 101–101. 1 indexed citations

Stransky, Beatriz, et al.. (2024). Machine Learning Gene Signature to Metastatic ccRCC Based on ceRNA Network. International Journal of Molecular Sciences. 25(8). 4214–4214. 2 indexed citations

Stransky, Beatriz, et al.. (2024). An Integrated Data Analysis Using Bioinformatics and Random Forest to Predict Prognosis of Patients With Squamous Cell Lung Cancer. IEEE Access. 12. 59335–59345. 1 indexed citations

Stransky, Beatriz, et al.. (2022). A Novel Machine Learning 13-Gene Signature: Improving Risk Analysis and Survival Prediction for Clear Cell Renal Cell Carcinoma Patients. Cancers. 14(9). 2111–2111. 18 indexed citations

Souza, Sandro J. de, et al.. (2021). An integrated approach to identify bimodal genes associated with prognosis in câncer. Genetics and Molecular Biology. 44(3). e20210109–e20210109. 4 indexed citations

Khayat, André Salim, et al.. (2021). A small interfering RNA (siRNA) database for SARS-CoV-2. Scientific Reports. 11(1). 8849–8849. 21 indexed citations

Stransky, Beatriz, et al.. (2020). A decision tree to improve identification of pathogenic mutations in clinical practice. BMC Medical Informatics and Decision Making. 20(1). 52–52. 27 indexed citations

Queiroz, J.F. de, Kleyton Santos de Medeiros, Ayane Cristine Alves Sarmento, et al.. (2020). Use of dating sites and applications by women and their risk of sexually transmitted infections: a systematic review and meta-analysis protocol. BMJ Open. 10(11). e038738–e038738. 4 indexed citations

Medeiros, Kleyton Santos de, et al.. (2019). Impact of mobile applications on adherence to cancer treatment: a systematic review and meta-analysis protocol. BMJ Open. 9(11). e027246–e027246. 5 indexed citations

10.

Medeiros, Kleyton Santos de, et al.. (2019). Assessment of mobile phone applications for care management in gynecology and obstetrics. International Journal of Gynecology & Obstetrics. 146(2). 263–264. 2 indexed citations

11.

Stransky, Beatriz, et al.. (2016). Bioinformatics Analysis of the Human Surfaceome Reveals New Targets for a Variety of Tumor Types. International Journal of Genomics. 2016. 1–7. 15 indexed citations

12.

Stransky, Beatriz & Sandro J. de Souza. (2013). Modeling tumor evolutionary dynamics. Frontiers in Physiology. 3. 480–480. 11 indexed citations

13.

Stransky, Beatriz, et al.. (2010). Segmentation and Classification of Histological Images - Application of Graph Analysis and Machine Learning Methods. 331–338. 5 indexed citations

14.

Souza, Sandro J. de, Beatriz Stransky, & Anamaria A. Camargo. (2009). Insights into gliomagenesis: systems biology unravels key pathways. Genome Medicine. 1(10). 101–101. 1 indexed citations

15.

Stransky, Beatriz, Júnior Barrera, Lucila Ohno‐Machado, & Sandro J. de Souza. (2007). MODELING CANCER: INTEGRATION OF "OMICS" INFORMATION IN DYNAMIC SYSTEMS. Journal of Bioinformatics and Computational Biology. 5(4). 977–986. 9 indexed citations

16.

Nóbrega, Alberto, Beatriz Stransky, Nathalie Nicolas, & António Coutinho. (2002). Regeneration of Natural Antibody Repertoire After Massive Ablation of Lymphoid System: Robust Selection Mechanisms Preserve Antigen Binding Specificities. The Journal of Immunology. 169(6). 2971–2978. 13 indexed citations

17.

Faria, Ana Maria Caetano, et al.. (1998). Aging affects oral tolerance induction but not its maintenance in mice. Mechanisms of Ageing and Development. 102(1). 67–80. 39 indexed citations

18.

Stransky, Beatriz, et al.. (1998). Interruption of recently induced immune responses by oral administration of antigen. Brazilian Journal of Medical and Biological Research. 31(3). 377–380. 13 indexed citations

19.

Faria, Ana Maria Caetano, et al.. (1998). Aging and immunoglobulin isotype patterns in oral tolerance. Brazilian Journal of Medical and Biological Research. 31(1). 35–48. 18 indexed citations

20.

Bottermann, P., et al.. (1978). C-Peptid- und Insulinkonzentration im Serum bei akuter Virushepatitis. Journal of Molecular Medicine. 56(20). 1029–1032. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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