Eric W. Bell

2.6k citations
15 papers · 1.7k · 3 hit papers · h-index 12

Impact in

Papers in

Eric W. Bell

15 papers receiving 1.7k citations

Eric W. Bell's Hit Papers

I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction 2022 · 352 citations
3520+2+4Years since publication100200300400

Peers

Eric W. Bell
Comparison fields: 5 of 140
  • Molecular Biology 980
  • Computational Theory and Mathematics 247
  • Infectious Diseases 240
  • Microbiology 61
  • Biotechnology 79
Replace Li C. Xue with:
Li C. Xue Netherlands
Rodrigo V. Honorato Brazil
Robin Pearce United States
Anna Vangone Netherlands
Natalie L Willhoft United Kingdom
Shu-Qun Liu China
Qingjun Ma China
Bryn C. Taylor United States
Eric W. Bell relative to Li C. Xue Netherlands Li C. Xue's profile →
Citations per field
00.5×1.5×
Li C. Xue · 1×
Citations per year

Countries citing papers authored by Eric W. Bell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 24 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.

Border = papers with Eric W. Bell Line = papers co-authored together Eric W. Bell links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Folding non-homologous proteins by coupling deep-learning contact maps with I-TASSER assembly simulations
Hit paper breakdown →
2021410
2
I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction
Hit paper breakdown →
2022352
3
DockRMSD: an open-source tool for atom mapping and RMSD calculation of symmetric molecules through graph isomorphism
Hit paper breakdown →
2019304
4 2020211
5 201982
6 202077
7 201973
8 202162
9 202146
10 202244
11 202120
12 201812
13 201910
14 20252
15 20251

About Eric W. Bell

Eric W. Bell is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Endocrinology and Animal Science and Zoology, having authored 15 papers that have together received 1.7k 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), Animal Virus Infections Studies (1 paper) and Enzyme-mediated dye degradation (1 paper). The work is most often cited by research in Molecular Biology (980 citations), Computational Theory and Mathematics (247 citations), Infectious Diseases (240 citations), Microbiology (61 citations) and Biotechnology (79 citations). Eric W. Bell has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Yang Zhang, Chengxin Zhang, Wei Hui Zheng, Robin Pearce, Xiaogen Zhou, Yang Li, Yang Li, Guijun Zhang, Xiaoqiang Huang and Dong‐Jun Yu. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Cheminformatics, Journal of Molecular Biology, Bioorganic & Medicinal Chemistry Letters and Journal of Chemical Information and Modeling.

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.

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