Eric M. Cooper
Impact in
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Fungal and yeast genetics research
- Genetics top 10%
- Genetics and Neurodevelopmental Disorders
Papers in
-
- CRISPR and Genetic Engineering 4
- RNA and protein synthesis mechanisms 4
- Ubiquitin and proteasome pathways 4
- Fungal and yeast genetics research 3
- Glycosylation and Glycoproteins Research 2
- 14-3-3 protein interactions 1
- Genetics 4
- Genetics and Neurodevelopmental Disorders 2
- 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)Troels Zakarias Kristiansen (1 shared paper)Colleen Cutcliffe (1 shared paper)Ikuo Shoji (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Cell Genomics (2 papers)Science (1 paper)Journal of Molecular Biology (1 paper)Acta Diabetologica (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Eric M. Cooper
13 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 1.1k
- Genetics 264
- Oncology 217
- Cell Biology 108
- Aging 9
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 | 2014 | 428 | |
| 2 | 2009 | 192 | |
| 3 | 1999 | 148 | |
| 4 | 2009 | 124 | |
| 5 | 2012 | 106 | |
| 6 | 2004 | 93 | |
| 7 | 2009 | 51 | |
| 8 | 2012 | 30 | |
| 9 | 2023 | 18 | |
| 10 | 2012 | 16 | |
| 11 | 2023 | 14 | |
| 12 | 1997 | 12 | |
| 13 | 2012 | 7 |
About Eric M. Cooper
Eric M. Cooper is a scholar working on Molecular Biology, Genetics, Oncology, Biotechnology and Cancer Research, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), RNA and protein synthesis mechanisms (4 papers), Ubiquitin and proteasome pathways (4 papers), Fungal and yeast genetics research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), 14-3-3 protein interactions (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Genetics (264 citations), Oncology (217 citations), Cell Biology (108 citations) and Aging (9 citations). Eric M. Cooper has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Robert E. Cohen, Cecile M. Pickart, Peter M. Howley, Jef D. Boeke, Akhilesh Pandey, Troels Zakarias Kristiansen, Colleen Cutcliffe, Ikuo Shoji, Hideaki Oda and Sushant Kumar. Their work appears in journals such as Journal of Biological Chemistry, Cell Genomics, Science, Journal of Molecular Biology and Acta Diabetologica.
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.