Kevin Yang
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Microbial Metabolic Engineering and Bioproduction
- Enzyme Catalysis and Immobilization
- Parasitology top 10%
Papers in
-
- Protein Structure and Dynamics 9
- RNA and protein synthesis mechanisms 8
- Machine Learning in Bioinformatics 7
- Genomics and Phylogenetic Studies 5
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- Topic Modeling 4
- Natural Language Processing Techniques 4
- Co-authors
- Frances H. Arnold (6 shared papers)Claire N. Bedbrook (4 shared papers)Zachary Wu (3 shared papers)Viviana Gradinaru (3 shared papers)Chang Hwan Kim (1 shared paper)Jiyoung Kim (1 shared paper)Austin J. Rice (3 shared papers)Alex X. Lu (2 shared papers)
- Journals
- PLoS Computational Biology (5 papers)Journal of the American Academy of Dermatology (3 papers)Bioinformatics (2 papers)Journal of the American Chemical Society (2 papers)The American Journal of Gastroenterology (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Kevin Yang
56 papers receiving 1.9k citations
Kevin Yang's Hit Papers
Peers
Comparison fields: 5 of 158
- Molecular Biology 1.0k
- Parasitology 66
- Computational Theory and Mathematics 154
- Cell Biology 125
- Cognitive Neuroscience 147
Countries citing papers authored by Kevin Yang
This map shows the geographic impact of Kevin Yang'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 Kevin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Yang more than expected).
Fields of papers citing papers by Kevin Yang
This network shows the impact of papers produced by Kevin Yang. 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 Kevin Yang. The network helps show where Kevin Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learned protein embeddings for machine learning Hit paper breakdown → | 2018 | 209 |
| 2 | 2007 | 147 | |
| 3 | 2019 | 142 | |
| 4 | 2007 | 126 | |
| 5 | 2009 | 120 | |
| 6 | Protein structure generation via folding diffusion Hit paper breakdown → | 2024 | 86 |
| 7 | 2022 | 85 | |
| 8 | 2017 | 83 | |
| 9 | 2010 | 80 | |
| 10 | 2022 | 71 | |
| 11 | 2020 | 69 | |
| 12 | 2021 | 66 | |
| 13 | 2006 | 56 | |
| 14 | 2022 | 52 | |
| 15 | 2017 | 49 | |
| 16 | 2024 | 49 | |
| 17 | 2022 | 47 | |
| 18 | 2024 | 39 | |
| 19 | 2019 | 37 | |
| 20 | 2024 | 35 |
About Kevin Yang
Kevin Yang is a scholar working on Molecular Biology, Artificial Intelligence, Surgery, Pharmacology and Epidemiology, having authored 66 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), RNA and protein synthesis mechanisms (8 papers), Machine Learning in Bioinformatics (7 papers), Genomics and Phylogenetic Studies (5 papers), Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers), Molecular Communication and Nanonetworks (3 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Parasitology (66 citations), Computational Theory and Mathematics (154 citations), Cell Biology (125 citations) and Cognitive Neuroscience (147 citations). Kevin Yang has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Frances H. Arnold, Claire N. Bedbrook, Zachary Wu, Viviana Gradinaru, Chang Hwan Kim, Jiyoung Kim, Austin J. Rice, Alex X. Lu, Brian Hie and Peter S. Kim. Their work appears in journals such as PLoS Computational Biology, Journal of the American Academy of Dermatology, Bioinformatics, Journal of the American Chemical Society and The American Journal of Gastroenterology.
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.