Fernando Benavides

2.0k citations
75 papers · 1.5k · h-index 23

Impact in

Papers in

    • Molecular Biology Techniques and Applications 7
    • PI3K/AKT/mTOR signaling in cancer 5
    • Wnt/β-catenin signaling in development and cancer 4
    • Protein Kinase Regulation and GTPase Signaling 4
    • RNA Research and Splicing 4
    • Animal Genetics and Reproduction 11
    • Genetic Mapping and Diversity in Plants and Animals 7

Fernando Benavides

70 papers receiving 1.5k citations

Peers

Fernando Benavides
Comparison fields: 5 of 108
  • Cancer Research 225
  • Dermatology 119
  • Cell Biology 215
  • Oncology 282
  • Molecular Biology 748
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Gautam Adhikary United States
Gilles Ponzio France
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L. Frati Italy
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Sabine Adam‐Klages Germany
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Citations per field
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Citations per year

Countries citing papers authored by Fernando Benavides

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Benavides

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fernando Benavides, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fernando Benavides Line = papers co-authored together Fernando Benavides links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008221
2 2004143
3 202086
4 201777
5 201260
6 201853
7 202052
8 200550
9 200248
10 201147
11 201747
12 199444
13 201739
14 200938
15 201932
16 201029
17 201229
18 201527
19 200125
20 200724

About Fernando Benavides

Fernando Benavides is a scholar working on Molecular Biology, Genetics, Oncology, Cancer Research and Cell Biology, having authored 75 papers that have together received 1.5k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (11 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers), Molecular Biology Techniques and Applications (7 papers), Cancer-related Molecular Pathways (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cancer Research (225 citations), Dermatology (119 citations), Cell Biology (215 citations), Oncology (282 citations) and Molecular Biology (748 citations). Fernando Benavides has collaborated with scholars based in United States, France and Argentina. Frequent co-authors include Claudio J. Conti, Carlos J. Pérez, Donna F. Kusewitt, Anne M. VanBuskirk, Tatiana M. Oberyszyn, Vivienne E. Reeve, Marcelo G. Kazanietz, Jorge Blando, Rachana Garg and Vyomesh Patel. Their work appears in journals such as Molecular Carcinogenesis, Laboratory Animals, Oncogene, American Journal Of Pathology and Immunogenetics.

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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