Beihong Ji
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- RNA regulation and disease
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
Papers in
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- Protein Structure and Dynamics 10
- Pharmacological Receptor Mechanisms and Effects 3
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- Computational Drug Discovery Methods 19
- Co-authors
- Junmei Wang (28 shared papers)Viet Hoang Man (14 shared papers)Xibing He (18 shared papers)Xiang‐Qun Xie (7 shared papers)Shuhan Liu (11 shared papers)Jingchen Zhai (12 shared papers)Philippe Derreumaux (1 shared paper)Phuong H. Nguyen (1 shared paper)
- Journals
- ACS Chemical Neuroscience (4 papers)Briefings in Bioinformatics (3 papers)Physical Chemistry Chemical Physics (3 papers)Journal of Chemical Information and Modeling (3 papers)Journal of Chemical Theory and Computation (2 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Beihong Ji
30 papers receiving 515 citations
Peers
Comparison fields: 5 of 88
- Computational Theory and Mathematics 164
- Molecular Biology 353
- Physiology 89
- Pharmacology 30
- Pharmacology 42
Countries citing papers authored by Beihong Ji
This map shows the geographic impact of Beihong Ji'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 Beihong Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beihong Ji more than expected).
Fields of papers citing papers by Beihong Ji
This network shows the impact of papers produced by Beihong Ji. 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 Beihong Ji. The network helps show where Beihong Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Beihong Ji, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 108 | |
| 2 | 2020 | 88 | |
| 3 | 2020 | 47 | |
| 4 | 2021 | 35 | |
| 5 | 2018 | 29 | |
| 6 | 2023 | 25 | |
| 7 | 2021 | 24 | |
| 8 | 2021 | 22 | |
| 9 | 2019 | 16 | |
| 10 | 2023 | 15 | |
| 11 | 2019 | 14 | |
| 12 | 2019 | 13 | |
| 13 | 2020 | 10 | |
| 14 | 2020 | 10 | |
| 15 | 2022 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2020 | 8 | |
| 18 | 2024 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2023 | 4 |
About Beihong Ji
Beihong Ji is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Pharmacology and Pharmacology, having authored 33 papers that have together received 522 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (19 papers), Protein Structure and Dynamics (10 papers), Pharmacogenetics and Drug Metabolism (5 papers), Machine Learning in Materials Science (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Alzheimer's disease research and treatments (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (164 citations), Molecular Biology (353 citations), Physiology (89 citations), Pharmacology (30 citations) and Pharmacology (42 citations). Beihong Ji has collaborated with scholars based in United States, China and France. Frequent co-authors include Junmei Wang, Viet Hoang Man, Xibing He, Xiang‐Qun Xie, Shuhan Liu, Jingchen Zhai, Philippe Derreumaux, Phuong H. Nguyen, Tai‐Sung Lee and Darrin M. York. Their work appears in journals such as ACS Chemical Neuroscience, Briefings in Bioinformatics, Physical Chemistry Chemical Physics, Journal of Chemical Information and Modeling and Journal of Chemical Theory and Computation.
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.