Brian Y. Chen

644 total citations
43 papers, 407 citations indexed

About

Brian Y. Chen is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Brian Y. Chen has authored 43 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 15 papers in Materials Chemistry and 12 papers in Computational Theory and Mathematics. Recurrent topics in Brian Y. Chen's work include Protein Structure and Dynamics (24 papers), Computational Drug Discovery Methods (12 papers) and Enzyme Structure and Function (12 papers). Brian Y. Chen is often cited by papers focused on Protein Structure and Dynamics (24 papers), Computational Drug Discovery Methods (12 papers) and Enzyme Structure and Function (12 papers). Brian Y. Chen collaborates with scholars based in United States, Sweden and China. Brian Y. Chen's co-authors include Lydia E. Kavraki, Viacheslav Y. Fofanov, Marek Kimmel, Olivier Lichtarge, David M. Kristensen, Barry Honig, Andreas Martin Lisewski, Soutir Bandyopadhyay, Anna Linusson and David Andersson and has published in prestigious journals such as Bioinformatics, Scientific Reports and Molecules.

In The Last Decade

Brian Y. Chen

38 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Y. Chen United States 12 319 138 127 24 24 43 407
Prashant K. Khade United States 10 261 0.8× 79 0.6× 94 0.7× 11 0.5× 40 1.7× 18 435
Steven J. Darnell United States 4 239 0.7× 81 0.6× 74 0.6× 13 0.5× 15 0.6× 7 297
Tamotsu Noguchi Japan 12 533 1.7× 43 0.3× 156 1.2× 36 1.5× 15 0.6× 29 600
I. Reš United States 8 430 1.3× 72 0.5× 94 0.7× 24 1.0× 12 0.5× 8 469
Julia K. Varga Israel 10 324 1.0× 43 0.3× 53 0.4× 25 1.0× 10 0.4× 16 427
Drew Bryant United States 9 267 0.8× 69 0.5× 76 0.6× 19 0.8× 8 0.3× 16 320
Jinchao Yu France 11 272 0.9× 114 0.8× 45 0.4× 6 0.3× 18 0.8× 16 389
David W. Rice United Kingdom 6 281 0.9× 72 0.5× 141 1.1× 19 0.8× 16 0.7× 6 326
Diego Javier Zea Argentina 12 359 1.1× 79 0.6× 111 0.9× 23 1.0× 6 0.3× 23 400
Niek van Hilten Netherlands 9 222 0.7× 64 0.5× 37 0.3× 15 0.6× 43 1.8× 19 291

Countries citing papers authored by Brian Y. Chen

Since Specialization
Citations

This map shows the geographic impact of Brian Y. Chen'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 Brian Y. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Y. Chen more than expected).

Fields of papers citing papers by Brian Y. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Y. Chen. 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 Brian Y. Chen. The network helps show where Brian Y. Chen may publish in the future.

Co-authorship network of co-authors of Brian Y. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Y. Chen. A scholar is included among the top collaborators of Brian Y. Chen 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 Brian Y. Chen. Brian Y. Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Harmer, Martin P., et al.. (2025). Learning to predict rare events: the case of abnormal grain growth. npj Computational Materials. 11(1).
2.
He, Lifang, et al.. (2024). Multi-Modal Diagnosis of Alzheimer’s Disease Using Interpretable Graph Convolutional Networks. IEEE Transactions on Medical Imaging. 44(1). 142–153. 10 indexed citations
3.
4.
5.
Chen, Brian Y., et al.. (2022). ColocQuiaL: a QTL-GWAS colocalization pipeline. Bioinformatics. 38(18). 4409–4411. 11 indexed citations
6.
Shah, Kanan, et al.. (2022). Sex and Location Differences in Verification Status of Physician-Held Social Media Platform Accounts. JAMA Network Open. 5(8). e2225671–e2225671. 1 indexed citations
7.
Miwa, Julie M., et al.. (2021). DiffBond: A Method for Predicting Intermolecular Bond Formation. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2021. 2574–2586. 1 indexed citations
8.
9.
Chen, Brian Y.. (2014). VASP-E: Specificity Annotation with a Volumetric Analysis of Electrostatic Isopotentials. PLoS Computational Biology. 10(8). e1003792–e1003792. 11 indexed citations
10.
Yang, Wenjie, et al.. (2013). Isolating Influential Regions of Electrostatic Focusing in Protein and DNA Structure. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 10(5). 1188–1198. 2 indexed citations
11.
Chen, Brian Y. & Soutir Bandyopadhyay. (2012). Modeling regionalized volumetric differences in protein-ligand binding cavities. Proteome Science. 10(Suppl 1). S6–S6. 6 indexed citations
12.
Chen, Brian Y. & Soutir Bandyopadhyay. (2012). A REGIONALIZABLE STATISTICAL MODEL OF INTERSECTING REGIONS IN PROTEIN–LIGAND BINDING CAVITIES. Journal of Bioinformatics and Computational Biology. 10(3). 1242004–1242004. 5 indexed citations
13.
Wymore, Troy, Brian Y. Chen, Hugh B. Nicholas, Alexander J. Ropelewski, & Charles L. Brooks. (2011). A Mechanism for Evolving Novel Plant Sesquiterpene Synthase Function. Molecular Informatics. 30(10). 896–906. 7 indexed citations
14.
Bryant, Drew, Mark Moll, Brian Y. Chen, Viacheslav Y. Fofanov, & Lydia E. Kavraki. (2010). Analysis of substructural variation in families of enzymatic proteins with applications to protein function prediction. BMC Bioinformatics. 11(1). 242–242. 12 indexed citations
15.
Chen, Brian Y. & Barry Honig. (2010). VASP: A Volumetric Analysis of Surface Properties Yields Insights into Protein-Ligand Binding Specificity. PLoS Computational Biology. 6(8). e1000881–e1000881. 39 indexed citations
16.
Andersson, David, Brian Y. Chen, & Anna Linusson. (2009). Mapping of ligand‐binding cavities in proteins. Proteins Structure Function and Bioinformatics. 78(6). 1408–1422. 29 indexed citations
17.
Kristensen, David M., R. Matthew Ward, Andreas Martin Lisewski, et al.. (2008). Prediction of enzyme function based on 3D templates of evolutionarily important amino acids. BMC Bioinformatics. 9(1). 17–17. 59 indexed citations
18.
Chen, Brian Y., Drew Bryant, Viacheslav Y. Fofanov, et al.. (2007). COMPOSITE MOTIFS INTEGRATING MULTIPLE PROTEIN STRUCTURES INCREASE SENSITIVITY FOR FUNCTION PREDICTION. PubMed. 6. 343–355. 5 indexed citations
19.
Kristensen, David M., Brian Y. Chen, Viacheslav Y. Fofanov, et al.. (2006). Recurrent use of evolutionary importance for functional annotation of proteins based on local structural similarity. Protein Science. 15(6). 1530–1536. 24 indexed citations
20.
Chen, Brian Y., Drew Bryant, Viacheslav Y. Fofanov, et al.. (2006). CAVITY-AWARE MOTIFS REDUCE FALSE POSITIVES IN PROTEIN FUNCTION PREDICTION. PubMed. 311–323. 13 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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Breakdown of academic impact, for papers by Prashant K. Khade Breakdown of academic impact, for papers by Steven J. Darnell Breakdown of academic impact, for papers by Tamotsu Noguchi Breakdown of academic impact, for papers by I. Reš Breakdown of academic impact, for papers by Julia K. Varga Breakdown of academic impact, for papers by Drew Bryant Breakdown of academic impact, for papers by Jinchao Yu Breakdown of academic impact, for papers by David W. Rice Breakdown of academic impact, for papers by Diego Javier Zea Breakdown of academic impact, for papers by Niek van Hilten
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