Eric Fodor

1.0k citations
19 papers · 870 · h-index 13

Impact in

  • Hepatology top 10%
    • Liver physiology and pathology
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • Ubiquitin and proteasome pathways
    • Heat shock proteins research
    • RNA and protein synthesis mechanisms

Papers in

    • RNA Research and Splicing 5
    • Genomics and Chromatin Dynamics 3
    • RNA and protein synthesis mechanisms 3
    • RNA Interference and Gene Delivery 3
    • Pancreatic function and diabetes 3

Eric Fodor

19 papers receiving 830 citations

Peers

Eric Fodor
Comparison fields: 5 of 89
  • Hepatology 104
  • Molecular Biology 546
  • Physiology 33
  • Aquatic Science 35
  • Cellular and Molecular Neuroscience 85
Replace A.M. de Leeuw with:
A.M. de Leeuw Netherlands
Isabelle Allemand France
Susanne Meyer Germany
Tadashi Utakoji Japan
Ann Nomoto United States
Naohiro Hori Japan
A. Lazaris-Karatzas Canada
Mujun Zhao China
Allan J. Robins Australia
J. Keith McClung United States
Eric Fodor relative to A.M. de Leeuw Netherlands A.M. de Leeuw's profile →
Citations per field
00.5×1.5×2.1×
A.M. de Leeuw · 1×
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

19 of 19 papers shown
#Work
1 1990189
2 1989123
3 199491
4 200071
5 198460
6 197754
7 198854
8 197548
9 198445
10 197844
11 199525
12 199717
13 199117
14 19888
15 19886
16 20006
17 19886
18 19795
19
The ''RNA-fork'' model for the initiation of influenza transcription
19961

About Eric Fodor

Eric Fodor is a scholar working on Molecular Biology, Surgery, Epidemiology, Genetics and Oncology, having authored 19 papers that have together received 870 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Pancreatic function and diabetes (3 papers), Genomics and Chromatin Dynamics (3 papers), RNA and protein synthesis mechanisms (3 papers), RNA Interference and Gene Delivery (3 papers), Plant Virus Research Studies (2 papers), Virus-based gene therapy research (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Hepatology (104 citations), Molecular Biology (546 citations), Physiology (33 citations), Aquatic Science (35 citations) and Cellular and Molecular Neuroscience (85 citations). Eric Fodor has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include William J. Rutter, Albert L. Jones, Anna Feren, A. Meister, Paul Doty, C Nelson, Luping Shen, Bo Wu, Kenneth A. Walsh and Robert H. Edwards. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Nucleic Acids Research, Molecular and Cellular Biology and Genes & Development.

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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