Junmei Wang
- Computational Theory and Mathematics top 0.01%
- Computational Drug Discovery Methods 82
- Molecular Biology top 0.05%
- Protein Structure and Dynamics 59
- DNA and Nucleic Acid Chemistry 14
- Physical and Theoretical Chemistry top 0.1%
- Spectroscopy top 0.1%
- Analytical Chemistry and Chromatography 19
- Organic Chemistry top 0.1%
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- Glioma Diagnosis and Treatment 29
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- Machine Learning in Materials Science 18
- Enzyme Structure and Function 14
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- Pharmacogenetics and Drug Metabolism 16
- Co-authors
- Peter A. KollmanDavid A. CaseJames W. CaldwellRomain M. WolfTingjun HouPiotr CieplakWei WangYouyong Li
- Journals
- Journal of Chemical Information and Modeling (29 papers)The Journal of Physical Chemistry B (13 papers)Journal of Chemical Theory and Computation (12 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Junmei Wang
400 papers receiving 45.3k citations
Hit Papers
Peers
Comparison fields: 5 of 206
- Computational Theory and Mathematics 7.7k
- Molecular Biology 25.1k
- Physical and Theoretical Chemistry 2.2k
- Spectroscopy 3.7k
- Organic Chemistry 6.0k
Countries citing papers authored by Junmei Wang
This map shows the geographic impact of Junmei Wang'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 Junmei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junmei Wang more than expected).
Fields of papers citing papers by Junmei Wang
This network shows the impact of papers produced by Junmei Wang. 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 Junmei Wang. The network helps show where Junmei Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Junmei Wang, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 22 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 22 | |
| 9 | 2023 | 20 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 12 | |
| 13 | 2021 | 22 | |
| 14 | 2019 | 3 | |
| 15 | 2018 | 33 | |
| 16 | 2017 | 24 | |
| 17 | 2004 | 1 | |
| 18 | A point‐charge force field for molecular mechanics simulations of proteins based on condensed‐phase quantum mechanical calculationsbreakdown → | 2003 | 3867 |
| 19 | 2002 | 2 | |
| 20 | 2001 | 8 |
About Junmei Wang
Junmei Wang is a scholar working on Computational Theory and Mathematics, Genetics and Molecular Biology, having authored 416 papers that have together received 45.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (82 papers), Protein Structure and Dynamics (59 papers), Glioma Diagnosis and Treatment (29 papers), Analytical Chemistry and Chromatography (19 papers), Machine Learning in Materials Science (18 papers), Pharmacogenetics and Drug Metabolism (16 papers), Enzyme Structure and Function (14 papers) and DNA and Nucleic Acid Chemistry (14 papers). The work is most often cited by research in Computational Theory and Mathematics (7.7k citations), Molecular Biology (25.1k citations) and Physical and Theoretical Chemistry (2.2k citations). Junmei Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Peter A. Kollman, David A. Case, James W. Caldwell, Romain M. Wolf, Tingjun Hou, Piotr Cieplak, Wei Wang, Youyong Li, Wei Wang and Yong Duan. Their work appears in journals such as Journal of Chemical Information and Modeling, The Journal of Physical Chemistry B, Journal of Chemical Theory and Computation, Journal of Computational Chemistry and ACS Chemical Neuroscience.
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.