Minjun Li
Impact in
-
- Computational Drug Discovery Methods
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
Papers in
-
- Digital Media Forensic Detection 4
- Advanced Steganography and Watermarking Techniques 3
- Co-authors
- Yechun Xu (19 shared papers)Jianhua He (10 shared papers)Wenfeng Zhao (7 shared papers)Haixia Su (13 shared papers)Huan Zhou (12 shared papers)Feng Yu (12 shared papers)Yu–Gang Jiang (4 shared papers)Muya Xiong (7 shared papers)
- Journals
- Nature Communications (4 papers)European Journal of Medicinal Chemistry (3 papers)Bioorganic Chemistry (3 papers)Journal of Medicinal Chemistry (3 papers)Biochemical and Biophysical Research Communications (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Minjun Li
56 papers receiving 935 citations
Peers
Comparison fields: 5 of 122
- Computational Theory and Mathematics 217
- Pharmacology 120
- Infectious Diseases 116
- Molecular Biology 410
- Computer Vision and Pattern Recognition 113
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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 155 | |
| 2 | 2011 | 93 | |
| 3 | 2019 | 80 | |
| 4 | 2018 | 77 | |
| 5 | 2020 | 57 | |
| 6 | 2019 | 45 | |
| 7 | 2020 | 26 | |
| 8 | 2013 | 25 | |
| 9 | 2003 | 25 | |
| 10 | 2016 | 24 | |
| 11 | 2022 | 23 | |
| 12 | 2022 | 20 | |
| 13 | 2020 | 20 | |
| 14 | 2018 | 16 | |
| 15 | 2019 | 16 | |
| 16 | 2023 | 13 | |
| 17 | 2022 | 13 | |
| 18 | 1993 | 13 | |
| 19 | 2023 | 12 | |
| 20 | 2025 | 11 |
About Minjun Li
Minjun Li is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Oncology, Immunology and Materials Chemistry, having authored 64 papers that have together received 948 indexed citations. Recurring topics across this work include Enzyme Structure and Function (7 papers), Computational Drug Discovery Methods (6 papers), Brain Metastases and Treatment (5 papers), interferon and immune responses (4 papers), Bacterial Genetics and Biotechnology (4 papers), Digital Media Forensic Detection (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Advanced Steganography and Watermarking Techniques (3 papers). The work is most often cited by research in Computational Theory and Mathematics (217 citations), Pharmacology (120 citations), Infectious Diseases (116 citations), Molecular Biology (410 citations) and Computer Vision and Pattern Recognition (113 citations). Minjun Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yechun Xu, Jianhua He, Wenfeng Zhao, Haixia Su, Huan Zhou, Feng Yu, Yu–Gang Jiang, Muya Xiong, Qiang Shao and Wei Liu. Their work appears in journals such as Nature Communications, European Journal of Medicinal Chemistry, Bioorganic Chemistry, Journal of Medicinal Chemistry and Biochemical and Biophysical Research Communications.
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.