Eric Fodor

1k citations
18 papers · 751 · h-index 13

Impact in

  • Physiology top 5%
    • Reproductive biology and impacts on aquatic species
  • Hepatology top 5%
    • Liver physiology and pathology

Papers in

    • Genomics and Chromatin Dynamics 9
    • Heat shock proteins research 1
    • RNA Research and Splicing 1
    • Reproductive biology and impacts on aquatic species 2

Eric Fodor

17 papers receiving 683 citations

Peers

Eric Fodor
Comparison fields: 5 of 63
  • Physiology 68
  • Hepatology 121
  • Molecular Biology 343
  • Developmental Neuroscience 12
  • Cellular and Molecular Neuroscience 58
Replace Volker Gawantka with:
Volker Gawantka Germany
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Isabelle Allemand France
Joseph G. Zendegui United States
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Citations per field
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Citations per year

Countries citing papers authored by Eric Fodor

Since Specialization
Citations

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

Fields of papers citing papers by Eric Fodor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eric Fodor, 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 Eric Fodor Line = papers co-authored together Eric Fodor links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1989129
2 199498
3 200077
4 198466
5 198856
6 197554
7 197752
8 197849
9 198446
10 199531
11 199125
12 199722
13 199117
14 19888
15 20008
16 19796
17 19886
18
The ''RNA-fork'' model for the initiation of influenza transcription
19961

About Eric Fodor

Eric Fodor is a scholar working on Molecular Biology, Physiology, Hepatology, Aquatic Science and Reproductive Medicine, having authored 18 papers that have together received 751 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (9 papers), Liver physiology and pathology (2 papers), Reproductive biology and impacts on aquatic species (2 papers), Protease and Inhibitor Mechanisms (1 paper), Heat shock proteins research (1 paper), RNA Research and Splicing (1 paper), Influenza Virus Research Studies (1 paper) and Reproductive Biology and Fertility (1 paper). The work is most often cited by research in Physiology (68 citations), Hepatology (121 citations), Molecular Biology (343 citations), Developmental Neuroscience (12 citations) and Cellular and Molecular Neuroscience (58 citations). Eric Fodor has collaborated with scholars based in United States, Japan and Russia. Frequent co-authors include Albert L. Jones, Anna M. Feren, William J. Rutter, Paul M. Doty, Kenneth A. Walsh, Richard I. Morimoto, Robert H. Edwards, Beat Müllhaupt, László G. Kömüves and Harry Ako. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Nucleic Acids Research, Molecular and Cellular Biology and The Journal of Cell Biology.

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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