Frederico M. Farin

21 total papers · 1.3k total citations
19 papers, 824 citations indexed

About

Frederico M. Farin is a scholar working on Oncology, Molecular Biology and Pharmacology. According to data from OpenAlex, Frederico M. Farin has authored 19 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Molecular Biology and 7 papers in Pharmacology. Recurrent topics in Frederico M. Farin's work include Pharmacogenetics and Drug Metabolism (6 papers), Drug Transport and Resistance Mechanisms (5 papers) and Drug-Induced Hepatotoxicity and Protection (3 papers). Frederico M. Farin is often cited by papers focused on Pharmacogenetics and Drug Metabolism (6 papers), Drug Transport and Resistance Mechanisms (5 papers) and Drug-Induced Hepatotoxicity and Protection (3 papers). Frederico M. Farin collaborates with scholars based in United States, Poland and Netherlands. Frederico M. Farin's co-authors include Theo K. Bammler, Richard P. Beyer, Allan E. Rettie, Jesse Tsai, Patricia L. Stapleton, Brendan D. Stamper, James W. MacDonald, DL Veenstra, David K. Blough and Michael Rieder and has published in prestigious journals such as Science, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Frederico M. Farin

19 papers receiving 803 citations

Author Peers

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

Author Last Decade Papers Cites
Frederico M. Farin 234 211 176 154 139 19 824
Lucie Stejskalová 202 0.9× 312 1.5× 78 0.4× 133 0.9× 93 0.7× 11 944
Anja Rode 361 1.5× 302 1.4× 149 0.8× 239 1.6× 103 0.7× 15 754
Govind S. Rao 171 0.7× 346 1.6× 126 0.7× 78 0.5× 273 2.0× 36 931
Stephanie J. Webb 130 0.6× 534 2.5× 140 0.8× 146 0.9× 168 1.2× 9 981
Geri L. Youngblood 87 0.4× 340 1.6× 182 1.0× 170 1.1× 119 0.9× 10 1.0k
Masaaki Soma 104 0.4× 395 1.9× 109 0.6× 99 0.6× 61 0.4× 41 1.0k
Akiko Soyama 511 2.2× 287 1.4× 86 0.5× 370 2.4× 148 1.1× 32 1.1k
Yves Barra 130 0.6× 351 1.7× 71 0.4× 135 0.9× 67 0.5× 31 769
Bettina Ebert 159 0.7× 344 1.6× 56 0.3× 269 1.7× 88 0.6× 17 800
Catherine Spire 369 1.6× 341 1.6× 60 0.3× 192 1.2× 71 0.5× 14 851

Countries citing papers authored by Frederico M. Farin

Since Specialization
Citations

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

Fields of papers citing papers by Frederico M. Farin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frederico M. Farin. 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 Frederico M. Farin. The network helps show where Frederico M. Farin may publish in the future.

Co-authorship network of co-authors of Frederico M. Farin

This figure shows the co-authorship network connecting the top 25 collaborators of Frederico M. Farin. A scholar is included among the top collaborators of Frederico M. Farin 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 Frederico M. Farin. Frederico M. Farin 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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