Minjun Li
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
-
- Computational Drug Discovery Methods
Papers in
-
- Hepatocellular Carcinoma Treatment and Prognosis 6
-
- Enzyme Structure and Function 13
- Co-authors
- Yechun Xu (18 shared papers)Yu–Gang Jiang (4 shared papers)Jianhua He (10 shared papers)Wenfeng Zhao (6 shared papers)Haixia Su (12 shared papers)Feng Yu (12 shared papers)Huan Zhou (12 shared papers)Muya Xiong (7 shared papers)
- Journals
- Nature Communications (5 papers)European Journal of Medicinal Chemistry (3 papers)Biochemical and Biophysical Research Communications (3 papers)Bioorganic Chemistry (3 papers)Journal of Medicinal Chemistry (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Minjun Li
57 papers receiving 1.2k citations
Minjun Li's Hit Papers
Peers
Comparison fields: 5 of 112
- Infectious Diseases 216
- Computational Theory and Mathematics 165
- Computer Vision and Pattern Recognition 213
- Pharmacology 90
- Molecular Biology 268
Countries citing papers authored by Minjun Li
This map shows the geographic impact of Minjun Li'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 Minjun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minjun Li more than expected).
Fields of papers citing papers by Minjun Li
This network shows the impact of papers produced by Minjun Li. 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 Minjun Li. The network helps show where Minjun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Minjun Li, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 166 | |
| 2 | 2017 | 107 | |
| 3 | 2011 | 101 | |
| 4 | 2019 | 90 | |
| 5 | Structure-based development and preclinical evaluation of the SARS-CoV-2 3C-like protease inhibitor simnotrelvir Hit paper breakdown → | 2023 | 85 |
| 6 | 2018 | 80 | |
| 7 | 2020 | 61 | |
| 8 | 2019 | 50 | |
| 9 | 2022 | 29 | |
| 10 | 2013 | 26 | |
| 11 | 2020 | 26 | |
| 12 | 2016 | 25 | |
| 13 | 2003 | 24 | |
| 14 | 2020 | 21 | |
| 15 | 2022 | 21 | |
| 16 | 2025 | 18 | |
| 17 | 2018 | 16 | |
| 18 | 2019 | 16 | |
| 19 | 2022 | 15 | |
| 20 | 2023 | 15 |
About Minjun Li
Minjun Li is a scholar working on Hepatology, Materials Chemistry, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Infectious Diseases, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Enzyme Structure and Function (13 papers), Computational Drug Discovery Methods (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Brain Metastases and Treatment (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Polymer-Based Agricultural Enhancements (2 papers) and Chaos-based Image/Signal Encryption (2 papers). The work is most often cited by research in Infectious Diseases (216 citations), Computational Theory and Mathematics (165 citations), Computer Vision and Pattern Recognition (213 citations), Pharmacology (90 citations) and Molecular Biology (268 citations). Minjun Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yechun Xu, Yu–Gang Jiang, Jianhua He, Wenfeng Zhao, Haixia Su, Feng Yu, Huan Zhou, Muya Xiong, Wei Liu and Qiang Shao. Their work appears in journals such as Nature Communications, European Journal of Medicinal Chemistry, Biochemical and Biophysical Research Communications, Bioorganic Chemistry and Journal of Medicinal Chemistry.
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.