Eric W. Bell

2.4k citations
15 papers · 1.5k indexed · 3 hit papers · h-index 12

Eric W. Bell

14 papers receiving 1.5k citations

Hit Papers

I-TASSER-MTD: a deep-learning-based platform for ...2972019202620212023100200300

Peers

Eric W. Bell
Comparison fields: 5 of 138
  • Computational Theory and Mathematics 233
  • Molecular Biology 947
  • Infectious Diseases 253
  • Microbiology 61
  • Biotechnology 82
Replace Li C. Xue with:
Li C. Xue Netherlands
Rodrigo V. Honorato Brazil
Huanyu Tao China
Carl Schmitz Australia
Ian Sillitoe United Kingdom
Robin Pearce United States
Kevin Wiehe United States
Qingjun Ma China
Anna Vangone Netherlands
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-authorship network

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.

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 20250
2 20251
3
I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function predictionbreakdown →
2022297
4 202238
5 202159
6 202144
7
Folding non-homologous proteins by coupling deep-learning contact maps with I-TASSER assembly simulationsbreakdown →
2021372
8 202118
9 2020202
10 202065
11 201976
12
DockRMSD: an open-source tool for atom mapping and RMSD calculation of symmetric molecules through graph isomorphismbreakdown →
2019266
13 201910
14 201971
15 201812

About Eric W. Bell

Eric W. Bell is a scholar working on Endocrinology, Computational Theory and Mathematics, Molecular Biology, Materials Chemistry and Animal Science and Zoology, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), RNA and protein synthesis mechanisms (5 papers), Genomics and Phylogenetic Studies (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.

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