Reyna Favis

52 total papers · 1.6k total citations
27 papers, 1.2k citations indexed

About

Reyna Favis is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Reyna Favis has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Genetics and 7 papers in Oncology. Recurrent topics in Reyna Favis's work include Cancer Genomics and Diagnostics (5 papers), Genetic factors in colorectal cancer (4 papers) and Molecular Biology Techniques and Applications (4 papers). Reyna Favis is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Genetic factors in colorectal cancer (4 papers) and Molecular Biology Techniques and Applications (4 papers). Reyna Favis collaborates with scholars based in United States, France and Canada. Reyna Favis's co-authors include Francis Barany, Norman P. Gerry, Steven A. Narod, Joseph Day, Catherine Phelan, Philip B. Paty, Richard Görlick, Michael B. Elowitz, Michael Overholtzer and Pulivarthi H. Rao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Nature Biotechnology.

In The Last Decade

Reyna Favis

27 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Reyna Favis 645 453 224 209 187 27 1.2k
Joan Climent 821 1.3× 337 0.7× 220 1.0× 118 0.6× 210 1.1× 31 1.5k
Mehis Pǒld 477 0.7× 626 1.4× 270 1.2× 108 0.5× 131 0.7× 20 1.5k
Daniela Meco 566 0.9× 356 0.8× 197 0.9× 169 0.8× 89 0.5× 44 1.5k
Stefan Schmidt 718 1.1× 257 0.6× 255 1.1× 132 0.6× 62 0.3× 40 1.4k
Michael F. Buckley 837 1.3× 692 1.5× 274 1.2× 142 0.7× 86 0.5× 21 1.4k
Robert Mashal 666 1.0× 312 0.7× 148 0.7× 122 0.6× 169 0.9× 24 1.4k
Aleata A. Triplett 725 1.1× 724 1.6× 218 1.0× 96 0.5× 78 0.4× 34 1.4k
Pei Shu 526 0.8× 487 1.1× 234 1.0× 133 0.6× 53 0.3× 37 1.4k
Fumiko Saito-Ohara 941 1.5× 440 1.0× 188 0.8× 77 0.4× 80 0.4× 27 1.3k
Valeria Berno 793 1.2× 236 0.5× 327 1.5× 66 0.3× 112 0.6× 33 1.4k

Countries citing papers authored by Reyna Favis

Since Specialization
Citations

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

Fields of papers citing papers by Reyna Favis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reyna Favis

This figure shows the co-authorship network connecting the top 25 collaborators of Reyna Favis. A scholar is included among the top collaborators of Reyna Favis 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 Reyna Favis. Reyna Favis 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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