Yaoyi Chen
Impact in
-
- Protein Structure and Dynamics
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
Papers in
-
- Protein Structure and Dynamics 6
- Advanced biosensing and bioanalysis techniques 1
-
- Machine Learning in Materials Science 6
- Block Copolymer Self-Assembly 2
- Co-authors
- Cecilia Clementi (6 shared papers)Frank Noé (6 shared papers)Andreas Krämer (4 shared papers)David L. Tabb (3 shared papers)Nicholas E. Charron (4 shared papers)David Cortez (1 shared paper)Bianca M. Sirbu (1 shared paper)Gina M. Kavanaugh (1 shared paper)
- Journals
- Journal of Chemical Theory and Computation (1 paper)RSC Advances (1 paper)Journal of Proteome Research (1 paper)Journal of Biological Chemistry (1 paper)The Journal of Physical Chemistry Letters (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Yaoyi Chen
14 papers receiving 620 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 404
- Structural Biology 8
- Materials Chemistry 216
- Computational Theory and Mathematics 63
- Organic Chemistry 90
Countries citing papers authored by Yaoyi Chen
This map shows the geographic impact of Yaoyi 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 Yaoyi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaoyi Chen more than expected).
Fields of papers citing papers by Yaoyi Chen
This network shows the impact of papers produced by Yaoyi 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 Yaoyi Chen. The network helps show where Yaoyi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaoyi Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 189 | |
| 2 | 2020 | 121 | |
| 3 | 2014 | 61 | |
| 4 | 2022 | 58 | |
| 5 | 2023 | 47 | |
| 6 | 2023 | 35 | |
| 7 | 2015 | 28 | |
| 8 | 2014 | 23 | |
| 9 | 2023 | 19 | |
| 10 | 2013 | 15 | |
| 11 | 2020 | 14 | |
| 12 | 2023 | 12 | |
| 13 | 2025 | 1 | |
| 14 | 2023 | 1 |
About Yaoyi Chen
Yaoyi Chen is a scholar working on Molecular Biology, Materials Chemistry, Organic Chemistry, Plant Science and Pharmacology, having authored 14 papers that have together received 624 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (6 papers), Protein Structure and Dynamics (6 papers), Plant-Microbe Interactions and Immunity (2 papers), Block Copolymer Self-Assembly (2 papers), Catalytic C–H Functionalization Methods (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Plant Pathogens and Fungal Diseases (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Molecular Biology (404 citations), Structural Biology (8 citations), Materials Chemistry (216 citations), Computational Theory and Mathematics (63 citations) and Organic Chemistry (90 citations). Yaoyi Chen has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Cecilia Clementi, Frank Noé, Andreas Krämer, David L. Tabb, Nicholas E. Charron, David Cortez, Bianca M. Sirbu, Gina M. Kavanaugh, Akosua Badu-Nkansah and Huzefa Dungrawala. Their work appears in journals such as Journal of Chemical Theory and Computation, RSC Advances, Journal of Proteome Research, Journal of Biological Chemistry and The Journal of Physical Chemistry Letters.
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.