Eric J. Deeds
Impact in
- Aging top 10%
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
Papers in
-
- Gene Regulatory Network Analysis 12
- Protein Structure and Dynamics 12
- Bioinformatics and Genomic Networks 11
- Ubiquitin and proteasome pathways 5
- Genetics 11
- Bacterial Genetics and Biotechnology 6
- Evolution and Genetic Dynamics 6
- Co-authors
- Walter Fontana (6 shared papers)Van M. Savage (3 shared papers)Eugene I. Shakhnovich (8 shared papers)Michael A. Rowland (7 shared papers)John Karanicolas (2 shared papers)Yusuf O. Adeshina (1 shared paper)Orr Ashenberg (3 shared papers)Isaac A. Hubner (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (10 papers)Biophysical Journal (7 papers)PLoS Computational Biology (6 papers)Journal of Pharmaceutical Sciences (3 papers)Nature Communications (3 papers)
- Partner nations
- United StatesFranceIndia
In The Last Decade
Eric J. Deeds
43 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 140
- Aging 24
- Molecular Biology 903
- Computational Theory and Mathematics 202
- Ecology 293
- Biophysics 65
Countries citing papers authored by Eric J. Deeds
This map shows the geographic impact of Eric J. Deeds'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 J. Deeds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric J. Deeds more than expected).
Fields of papers citing papers by Eric J. Deeds
This network shows the impact of papers produced by Eric J. Deeds. 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 J. Deeds. The network helps show where Eric J. Deeds may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric J. Deeds, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 274 | |
| 2 | 2008 | 192 | |
| 3 | 2020 | 165 | |
| 4 | 2017 | 91 | |
| 5 | 2005 | 88 | |
| 6 | 2014 | 86 | |
| 7 | 2007 | 68 | |
| 8 | 2006 | 57 | |
| 9 | 2012 | 50 | |
| 10 | 2012 | 48 | |
| 11 | 2005 | 44 | |
| 12 | 2015 | 42 | |
| 13 | 2012 | 41 | |
| 14 | 2013 | 38 | |
| 15 | 2017 | 32 | |
| 16 | 2021 | 30 | |
| 17 | 2013 | 26 | |
| 18 | 2004 | 20 | |
| 19 | 2003 | 20 | |
| 20 | 2015 | 19 |
About Eric J. Deeds
Eric J. Deeds is a scholar working on Molecular Biology, Genetics, Cell Biology, Aging and Biophysics, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (12 papers), Protein Structure and Dynamics (12 papers), Bioinformatics and Genomic Networks (11 papers), Bacterial Genetics and Biotechnology (6 papers), Evolution and Genetic Dynamics (6 papers), Ubiquitin and proteasome pathways (5 papers), Computational Drug Discovery Methods (4 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Aging (24 citations), Molecular Biology (903 citations), Computational Theory and Mathematics (202 citations), Ecology (293 citations) and Biophysics (65 citations). Eric J. Deeds has collaborated with scholars based in United States, France and India. Frequent co-authors include Walter Fontana, Van M. Savage, Eugene I. Shakhnovich, Michael A. Rowland, John Karanicolas, Yusuf O. Adeshina, Orr Ashenberg, Isaac A. Hubner, John A. Bachman and Adam S. Smith. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biophysical Journal, PLoS Computational Biology, Journal of Pharmaceutical Sciences and Nature Communications.
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.