Eric W. Bell
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- vaccines and immunoinformatics approaches
- RNA and protein synthesis mechanisms
Papers in
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- Protein Structure and Dynamics 8
- Genomics and Phylogenetic Studies 5
- RNA and protein synthesis mechanisms 5
- Machine Learning in Bioinformatics 3
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- Enzyme Structure and Function 5
- Co-authors
- Yang Zhang (11 shared papers)Chengxin Zhang (8 shared papers)Wei Zheng (7 shared papers)Robin Pearce (3 shared papers)Xiaogen Zhou (5 shared papers)Yang Li (5 shared papers)Yang Li (1 shared paper)Xiaoqiang Huang (2 shared papers)
- Journals
- Proteins Structure Function and Bioinformatics (3 papers)Journal of Cheminformatics (2 papers)Applied Biochemistry and Biotechnology (1 paper)PLoS Computational Biology (1 paper)Journal of Proteome Research (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Eric W. Bell
14 papers receiving 1.5k citations
Eric W. Bell's Hit Papers
Peers
Comparison fields: 5 of 138
- Computational Theory and Mathematics 233
- Molecular Biology 947
- Infectious Diseases 253
- Microbiology 61
- Biotechnology 82
Countries citing papers authored by Eric W. Bell
This map shows the geographic impact of Eric W. Bell'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 W. Bell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric W. Bell more than expected).
Fields of papers citing papers by Eric W. Bell
This network shows the impact of papers produced by Eric W. Bell. 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 W. Bell. The network helps show where Eric W. Bell may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric W. Bell, 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 | Folding non-homologous proteins by coupling deep-learning contact maps with I-TASSER assembly simulations Hit paper breakdown → | 2021 | 372 |
| 2 | I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction Hit paper breakdown → | 2022 | 297 |
| 3 | DockRMSD: an open-source tool for atom mapping and RMSD calculation of symmetric molecules through graph isomorphism Hit paper breakdown → | 2019 | 266 |
| 4 | 2020 | 202 | |
| 5 | 2019 | 76 | |
| 6 | 2019 | 71 | |
| 7 | 2020 | 65 | |
| 8 | 2021 | 59 | |
| 9 | 2021 | 44 | |
| 10 | 2022 | 38 | |
| 11 | 2021 | 18 | |
| 12 | 2018 | 12 | |
| 13 | 2019 | 10 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 0 |
About Eric W. Bell
Eric W. Bell is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Infectious Diseases and Organic Chemistry, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (5 papers), Enzyme Structure and Function (5 papers), Machine Learning in Bioinformatics (3 papers), Computational Drug Discovery Methods (3 papers), Enzyme-mediated dye degradation (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Computational Theory and Mathematics (233 citations), Molecular Biology (947 citations), Infectious Diseases (253 citations), Microbiology (61 citations) and Biotechnology (82 citations). Eric W. Bell has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Yang Zhang, Chengxin Zhang, Wei Zheng, Robin Pearce, Xiaogen Zhou, Yang Li, Yang Li, Xiaoqiang Huang, Guijun Zhang and Dong‐Jun Yu. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Cheminformatics, Applied Biochemistry and Biotechnology, PLoS Computational Biology and Journal of Proteome Research.
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.