Eric M. Cooper

1.5k citations
10 papers · 741 indexed · h-index 9

Impact in

    • Ubiquitin and proteasome pathways
    • DNA Repair Mechanisms
    • Glycosylation and Glycoproteins Research
    • Protein Degradation and Inhibitors
    • Cancer-related Molecular Pathways
    • Peptidase Inhibition and Analysis

Papers in

    • Ubiquitin and proteasome pathways 4
    • Glycosylation and Glycoproteins Research 2
    • Genetics, Bioinformatics, and Biomedical Research 1
    • Genetics and Neurodevelopmental Disorders 2

Eric M. Cooper

10 papers receiving 733 citations

Peers

Eric M. Cooper
Comparison fields: 5 of 60
  • Molecular Biology 667
  • Oncology 218
  • Cell Biology 101
  • Genetics 152
  • Immunology 91
Replace Marie-Claude Landry with:
Marie-Claude Landry Canada
Jeffrey D. Laney United States
Daniel Weekes United Kingdom
Hou Yu Chen Canada
Seung Hyeun Ka South Korea
Lior Izhar United States
Yong Chi United States
Chongwoo A. Kim United States
Matti Davis United States
Ruth M. Densham United Kingdom
Eric M. Cooper relative to Marie-Claude Landry Canada Marie-Claude Landry's profile →
Citations per field
00.5×1.5×2.0×
Marie-Claude Landry · 1×
Citations per year

Countries citing papers authored by Eric M. Cooper

Since Specialization
Citations

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

Fields of papers citing papers by Eric M. Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2009183
2 1999145
3 2009118
4 2012106
5 200487
6 200950
7 201226
8 201212
9 19979
10 20125

About Eric M. Cooper

Eric M. Cooper is a scholar working on Molecular Biology, Genetics, Oncology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 741 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Genetics and Neurodevelopmental Disorders (2 papers), Glycosylation and Glycoproteins Research (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), interferon and immune responses (1 paper), Pancreatic function and diabetes (1 paper), Diabetes Management and Research (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Molecular Biology (667 citations), Oncology (218 citations), Cell Biology (101 citations), Genetics (152 citations) and Immunology (91 citations). Eric M. Cooper has collaborated with scholars based in United States and Italy. Frequent co-authors include Robert E. Cohen, Cecile M. Pickart, Peter M. Howley, Jef D. Boeke, Troels Zakarias Kristiansen, Colleen Cutcliffe, Akhilesh Pandey, Ikuo Shoji, Sushant Kumar and Hideaki Oda. Their work appears in journals such as Journal of Biological Chemistry, Nature Methods, The EMBO Journal, Acta Diabetologica and Proceedings of the National Academy of Sciences.

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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