Eric M. Cooper
Impact in
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- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
- Glycosylation and Glycoproteins Research
- Protein Degradation and Inhibitors
- Oncology top 10%
- Cancer-related Molecular Pathways
- Peptidase Inhibition and Analysis
Papers in
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- Ubiquitin and proteasome pathways 4
- Glycosylation and Glycoproteins Research 2
- DNA Repair Mechanisms 1
- DNA and Nucleic Acid Chemistry 1
- Genetics 4
- Genetics and Neurodevelopmental Disorders 2
- Diabetes and associated disorders 1
- Co-authors
- Robert E. Cohen (4 shared papers)Cecile M. Pickart (2 shared papers)Peter M. Howley (2 shared papers)Jef D. Boeke (5 shared papers)Akhilesh Pandey (1 shared paper)Colleen Cutcliffe (1 shared paper)Troels Zakarias Kristiansen (1 shared paper)Sushant Kumar (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Acta Diabetologica (1 paper)Nature Methods (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Eric M. Cooper
10 papers receiving 752 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 663
- Oncology 214
- Cell Biology 98
- Genetics 158
- Cancer Research 60
Countries citing papers authored by Eric M. Cooper
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 187 | |
| 2 | 1999 | 148 | |
| 3 | 2009 | 121 | |
| 4 | 2012 | 106 | |
| 5 | 2004 | 89 | |
| 6 | 2009 | 50 | |
| 7 | 2012 | 29 | |
| 8 | 2012 | 14 | |
| 9 | 1997 | 12 | |
| 10 | 2012 | 6 |
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 762 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), Diabetes Management and Research (1 paper), DNA Repair Mechanisms (1 paper), Diabetes and associated disorders (1 paper), NF-κB Signaling Pathways (1 paper) and DNA and Nucleic Acid Chemistry (1 paper). The work is most often cited by research in Molecular Biology (663 citations), Oncology (214 citations), Cell Biology (98 citations), Genetics (158 citations) and Cancer Research (60 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, Akhilesh Pandey, Colleen Cutcliffe, Troels Zakarias Kristiansen, Sushant Kumar, Hideaki Oda and Ikuo Shoji. Their work appears in journals such as Journal of Biological Chemistry, Acta Diabetologica, Nature Methods, Proceedings of the National Academy of Sciences and Journal of Molecular 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.