Brian Y. Chen

662 citations
44 papers · 424 · h-index 13

Impact in

    • Computational Drug Discovery Methods
    • Protein Structure and Dynamics
    • Machine Learning in Bioinformatics
    • RNA and protein synthesis mechanisms
    • Bioinformatics and Genomic Networks
    • Microbial Metabolic Engineering and Bioproduction
    • Genomics and Phylogenetic Studies

Papers in

Brian Y. Chen

40 papers receiving 417 citations

Peers

Brian Y. Chen
Comparison fields: 5 of 69
  • Computational Theory and Mathematics 130
  • Molecular Biology 303
  • Structural Biology 6
  • Computational Mathematics 2
  • Materials Chemistry 109
Replace Olga M. Selivanova with:
Olga M. Selivanova Russia
Ali A. Kermani United States
Ana V. Rojas United States
Jinchao Yu France
Adedolapo Ojoawo United States
Bettina Elshorst Germany
Xiuzhen Hu China
Aditi Shenoy Sweden
Prashant K. Khade United States
Yannan Bin China
Brian Y. Chen relative to Olga M. Selivanova Russia Olga M. Selivanova's profile →
Citations per field
00.5×1.5×1.8×
Olga M. Selivanova · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Brian Y. Chen, 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 Brian Y. Chen Line = papers co-authored together Brian Y. Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200859
2 201040
3 200732
4 200930
5 200425
6 200624
7 202220
8 201720
9 202416
10 201114
11 200613
12 201012
13 201412
14 200711
15 202211
16 202210
17 20238
18 20117
19 20126
20 20126

About Brian Y. Chen

Brian Y. Chen is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Genetics and Spectroscopy, having authored 44 papers that have together received 424 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (24 papers), Computational Drug Discovery Methods (12 papers), Machine Learning in Bioinformatics (11 papers), Enzyme Structure and Function (9 papers), RNA and protein synthesis mechanisms (6 papers), Machine Learning in Materials Science (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Cloud Computing and Resource Management (2 papers). The work is most often cited by research in Computational Theory and Mathematics (130 citations), Molecular Biology (303 citations), Structural Biology (6 citations), Computational Mathematics (2 citations) and Materials Chemistry (109 citations). Brian Y. Chen has collaborated with scholars based in United States, Sweden and Hong Kong. Frequent co-authors include Viacheslav Y. Fofanov, Lydia E. Kavraki, David M. Kristensen, Marek Kimmel, Olivier Lichtarge, Barry Honig, Andreas Martin Lisewski, Soutir Bandyopadhyay, Anna Linusson and David Andersson. Their work appears in journals such as Journal of Computational Biology, Journal of Bioinformatics and Computational Biology, BMC Bioinformatics, PLoS Computational Biology and Journal of Industrial Textiles.

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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