Eric W. Bell

2.4k total citations · 3 hit papers
15 papers, 1.5k citations indexed

About

Eric W. Bell is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Eric W. Bell has authored 15 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Materials Chemistry and 3 papers in Computational Theory and Mathematics. Recurrent topics in Eric W. Bell's work include Protein Structure and Dynamics (8 papers), RNA and protein synthesis mechanisms (5 papers) and Genomics and Phylogenetic Studies (5 papers). Eric W. Bell is often cited by papers focused on Protein Structure and Dynamics (8 papers), RNA and protein synthesis mechanisms (5 papers) and Genomics and Phylogenetic Studies (5 papers). Eric W. Bell collaborates with scholars based in United States, China and Germany. Eric W. Bell's 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 and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Nature Protocols.

In The Last Decade

Eric W. Bell

14 papers receiving 1.5k citations

Hit Papers

Folding non-homologous proteins by coupling deep-learning... 2019 2026 2021 2023 2021 2022 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Folding non-homologous proteins by coupling deep-learning contact maps with I-TASSER assembly simulations
    2021 372 citations Wei Zheng, Chengxin Zhang et al. Cell Reports Methods profile →
  2. I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction
    2022 297 citations Xiaogen Zhou, Wei Zheng et al. Nature Protocols profile →
  3. DockRMSD: an open-source tool for atom mapping and RMSD calculation of symmetric molecules through graph isomorphism
    2019 266 citations Eric W. Bell, Yang Zhang Journal of Cheminformatics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eric W. Bell United States 12 947 253 233 175 125 15 1.5k
Lukáš Pravda Czechia 10 1.3k 1.4× 204 0.8× 203 0.9× 255 1.5× 143 1.1× 23 1.9k
Rodrigo V. Honorato Brazil 18 1.0k 1.1× 113 0.4× 196 0.8× 151 0.9× 143 1.1× 36 1.6k
Raymond Hui Canada 26 1.3k 1.4× 219 0.9× 191 0.8× 255 1.5× 170 1.4× 45 2.5k
Robin Pearce United States 20 1.3k 1.4× 212 0.8× 190 0.8× 326 1.9× 114 0.9× 28 1.8k
Andrew Binkowski United States 4 1.2k 1.3× 174 0.7× 260 1.1× 226 1.3× 146 1.2× 4 1.8k
Scott E. Mottarella United States 7 1.2k 1.3× 198 0.8× 310 1.3× 154 0.9× 71 0.6× 9 1.7k
Huanyu Tao China 12 995 1.1× 246 1.0× 179 0.8× 85 0.5× 64 0.5× 21 1.5k
José Ramón López‐Blanco Spain 17 1.6k 1.7× 210 0.8× 203 0.9× 274 1.6× 107 0.9× 25 2.0k
Özlem Taştan Bishop South Africa 23 1.2k 1.3× 297 1.2× 521 2.2× 145 0.8× 81 0.6× 100 1.7k

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 of co-authors of Eric W. Bell

This figure shows the co-authorship network connecting the top 25 collaborators of Eric W. Bell. A scholar is included among the top collaborators of Eric W. Bell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eric W. Bell. Eric W. Bell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Mueller, Benjamin K., Ali İ. Kaya, Marian F. Young, et al.. (2025). Molecular basis for Gβγ-SNARE-mediated inhibition of synaptic vesicle fusion. Journal of Biological Chemistry. 301(8). 110377–110377.
2.
Bell, Eric W., Benjamin P. Brown, & Jens Meiler. (2025). FakeRotLib: Expedient Noncanonical Amino Acid Parametrization in Rosetta. Journal of Chemical Information and Modeling. 65(16). 8397–8404. 1 indexed citations
3.
Zhou, Xiaogen, Wei Zheng, Yang Li, et al.. (2022). I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction. Nature Protocols. 17(10). 2326–2353. 297 indexed citations breakdown →
4.
Bell, Eric W., et al.. (2022). PEPPI: Whole-proteome Protein-protein Interaction Prediction through Structure and Sequence Similarity, Functional Association, and Machine Learning. Journal of Molecular Biology. 434(11). 167530–167530. 38 indexed citations
5.
Li, Yang, Chengxin Zhang, Eric W. Bell, et al.. (2021). Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks. PLoS Computational Biology. 17(3). e1008865–e1008865. 59 indexed citations
6.
Zheng, Wei, Yang Li, Chengxin Zhang, et al.. (2021). Protein structure prediction using deep learning distance and hydrogen‐bonding restraints in CASP14. Proteins Structure Function and Bioinformatics. 89(12). 1734–1751. 44 indexed citations
7.
Li, Yang, Chengxin Zhang, Wei Zheng, et al.. (2021). Protein inter‐residue contact and distance prediction by coupling complementary coevolution features with deep residual networks in CASP14. Proteins Structure Function and Bioinformatics. 89(12). 1911–1921. 18 indexed citations
8.
Zheng, Wei, Chengxin Zhang, Yang Li, et al.. (2021). Folding non-homologous proteins by coupling deep-learning contact maps with I-TASSER assembly simulations. Cell Reports Methods. 1(3). 100014–100014. 372 indexed citations breakdown →
9.
Zhang, Chengxin, Wei Zheng, Xiaoqiang Huang, et al.. (2020). Protein Structure and Sequence Reanalysis of 2019-nCoV Genome Refutes Snakes as Its Intermediate Host and the Unique Similarity between Its Spike Protein Insertions and HIV-1. Journal of Proteome Research. 19(4). 1351–1360. 202 indexed citations
10.
Bell, Eric W., et al.. (2020). EDock: blind protein–ligand docking by replica-exchange monte carlo simulation. Journal of Cheminformatics. 12(1). 37–37. 65 indexed citations
11.
Bell, Eric W. & Yang Zhang. (2019). DockRMSD: an open-source tool for atom mapping and RMSD calculation of symmetric molecules through graph isomorphism. Journal of Cheminformatics. 11(1). 40–40. 266 indexed citations breakdown →
12.
13.
Zheng, Wei, Chengxin Zhang, Eric W. Bell, & Yang Zhang. (2019). I-TASSER gateway: A protein structure and function prediction server powered by XSEDE. Future Generation Computer Systems. 99. 73–85. 76 indexed citations
14.
Li, Yang, Chengxin Zhang, Eric W. Bell, Dong‐Jun Yu, & Yang Zhang. (2019). Ensembling multiple raw coevolutionary features with deep residual neural networks for contact‐map prediction in CASP13. Proteins Structure Function and Bioinformatics. 87(12). 1082–1091. 71 indexed citations
15.
Bell, Eric W., Erica J. Zheng, & Lisa M. Ryno. (2018). Identification of inhibitors of the E. coli chaperone SurA using in silico and in vitro techniques. Bioorganic & Medicinal Chemistry Letters. 28(22). 3540–3548. 12 indexed citations

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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