Eric J. Deeds
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Aging top 10%
Papers in
- Aging 3
-
- Protein Structure and Dynamics 12
- Gene Regulatory Network Analysis 12
- Bioinformatics and Genomic Networks 12
- Ubiquitin and proteasome pathways 5
- Co-authors
- Walter FontanaVan M. SavageEugene I. ShakhnovichMichael A. RowlandJohn KaranicolasOrr AshenbergIsaac A. HubnerJohn A. Bachman
- 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 1.5k citations
Peers
Comparison fields: 5 of 141
- Molecular Biology 965
- Aging 24
- Computational Theory and Mathematics 192
- Biophysics 66
- Ecology 282
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 27 | |
| 6 | 2020 | 138 | |
| 7 | 2020 | 3 | |
| 8 | 2017 | 10 | |
| 9 | 2017 | 28 | |
| 10 | 2014 | 81 | |
| 11 | 2014 | 0 | |
| 12 | 2014 | 3 | |
| 13 | 2013 | 35 | |
| 14 | 2012 | 49 | |
| 15 | 2010 | 10 | |
| 16 | 2010 | 253 | |
| 17 | 2005 | 79 | |
| 18 | 2005 | 27 | |
| 19 | 2005 | 67 | |
| 20 | 2005 | 8 |
About Eric J. Deeds
Eric J. Deeds is a scholar working on Aging, Molecular Biology, Biophysics, Genetics and Cell Biology, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Gene Regulatory Network Analysis (12 papers), Bioinformatics and Genomic Networks (12 papers), Evolution and Genetic Dynamics (7 papers), Bacterial Genetics and Biotechnology (6 papers), Ubiquitin and proteasome pathways (5 papers), Computational Drug Discovery Methods (4 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). The work is most often cited by research in Molecular Biology (965 citations), Aging (24 citations), Computational Theory and Mathematics (192 citations), Biophysics (66 citations) and Ecology (282 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, Orr Ashenberg, Isaac A. Hubner, John A. Bachman, Boris E. Shakhnovich and Charles DeLisi. 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.