Fernando Guimarães

58 total papers · 1.4k total citations
34 papers, 1.0k citations indexed

About

Fernando Guimarães is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Fernando Guimarães has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 7 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Fernando Guimarães's work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (7 papers) and Reproductive System and Pregnancy (6 papers). Fernando Guimarães is often cited by papers focused on Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (7 papers) and Reproductive System and Pregnancy (6 papers). Fernando Guimarães collaborates with scholars based in Brazil, United States and Australia. Fernando Guimarães's co-authors include Jacques Bienvenu, Sophia Djebali, Jacqueline Marvel, Mark J. Smyth, Emily Charrier, David K. Finlay, Laurent Bartholin, Morgan Grau, Antoine Marçais and Sébastien Viel and has published in prestigious journals such as Blood, International Journal of Molecular Sciences and Frontiers in Immunology.

In The Last Decade

Fernando Guimarães

33 papers receiving 1.0k citations

Hit Papers

TGF-β inhibits the activa... 2016 2026 2019 2022 2016 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fernando Guimarães 587 400 211 99 65 34 1.0k
Arezoo Hosseini 389 0.7× 253 0.6× 237 1.1× 87 0.9× 58 0.9× 28 915
Julien Giron‐Michel 709 1.2× 298 0.7× 245 1.2× 84 0.8× 116 1.8× 40 1.2k
L.F.M.H. de Leij 221 0.4× 233 0.6× 289 1.4× 81 0.8× 62 1.0× 25 1.0k
Simon Gebremeskel 437 0.7× 380 0.9× 246 1.2× 56 0.6× 54 0.8× 28 1.1k
Yumiko Matsumura 600 1.0× 619 1.5× 296 1.4× 102 1.0× 58 0.9× 30 1.2k
Meixiang Yang 495 0.8× 198 0.5× 491 2.3× 129 1.3× 74 1.1× 38 1.2k
Gilles Alberici 364 0.6× 302 0.8× 215 1.0× 52 0.5× 34 0.5× 33 1.0k
Linda S. Gutierrez 393 0.7× 223 0.6× 472 2.2× 249 2.5× 63 1.0× 26 1.2k
Reiko Takahashi 701 1.2× 353 0.9× 300 1.4× 118 1.2× 25 0.4× 24 1.2k
Sönke Weinert 258 0.4× 138 0.3× 474 2.2× 128 1.3× 81 1.2× 50 1.2k

Countries citing papers authored by Fernando Guimarães

Since Specialization
Citations

This map shows the geographic impact of Fernando Guimarães'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 Fernando Guimarães with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Guimarães more than expected).

Fields of papers citing papers by Fernando Guimarães

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Guimarães. 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 Fernando Guimarães. The network helps show where Fernando Guimarães may publish in the future.

Co-authorship network of co-authors of Fernando Guimarães

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Guimarães. A scholar is included among the top collaborators of Fernando Guimarães 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 Fernando Guimarães. Fernando Guimarães is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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