Brian Y. Feng

2.5k citations
18 papers · 1.9k indexed · h-index 11
Topics
Computational Drug Discovery Methods (6 papers)Innovative Microfluidic and Catalytic Techniques Innovation (5 papers)Click Chemistry and Applications (2 papers)

In The Last Decade

Brian Y. Feng

17 papers receiving 1.9k citations

Peers

Brian Y. Feng
Comparison fields: 5 of 113
  • Molecular Biology 1.2k
  • Computational Theory and Mathematics 599
  • Organic Chemistry 322
  • Pharmacology 212
  • Physiology 186
Replace Alexis A. Borisy with:
Alexis A. Borisy United States
Grant R. Zimmermann United States
Thomas Lundbäck Sweden
Daniel Martinez Molina Sweden
Dmitry Lupyan United States
Amresh Prakash India
Rozbeh Jafari Sweden
Adam Yasgar United States
Gianluca Degliesposti United Kingdom
Christina Kiel Spain
Brian Y. Feng relative to Alexis A. Borisy United States Alexis A. Borisy's profile →
Citations per field
00.5×2.8×
Alexis A. Borisy · 1×
Citations per year

Countries citing papers authored by Brian Y. Feng

Since Specialization
Citations

This map shows the geographic impact of Brian Y. Feng'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. Feng 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. Feng more than expected).

Fields of papers citing papers by Brian Y. Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 1
3 5
4 6
5 19
6 9
7 13
8 13
9 61
10 216
11 130
12
The Detection, Prevalence and Properties of Aggregate-Based Small Molecule Inhibition
0
13 277
14 1
15 346
16 60
17 257
18 473

About Brian Y. Feng

Brian Y. Feng is a scholar working on Molecular Medicine, Computational Theory and Mathematics and Biophysics, having authored 18 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers) and Click Chemistry and Applications (2 papers). The work is most often cited by research in Computational Theory and Mathematics (599 citations), Molecular Medicine (95 citations) and Molecular Biology (1.2k citations). Brian Y. Feng has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Brian K. Shoichet, Susan L. McGovern, Brian T. Helfand, Thompson N. Doman, R. Kiplin Guy, Anang A. Shelat, James Inglese, Ajit Jadhav, Kerim Babaoglu and Anton Simeonov. Their work appears in journals such as Nature Communications, Genes & Development and PLoS ONE.

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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