Minjun Li
Impact in
-
- Computational Drug Discovery Methods
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
- Microbial Natural Products and Biosynthesis
Papers in
- Oncology 8
- Lung Cancer Research Studies 3
- Co-authors
- Yechun Xu (19 shared papers)Jianhua He (10 shared papers)Wenfeng Zhao (7 shared papers)Haixia Su (13 shared papers)Feng Yu (12 shared papers)Huan Zhou (12 shared papers)Muya Xiong (7 shared papers)Qiang Shao (9 shared papers)
- Journals
- Nature Communications (4 papers)Bioorganic Chemistry (3 papers)Journal of Medicinal Chemistry (3 papers)European Journal of Medicinal Chemistry (3 papers)Biochemical and Biophysical Research Communications (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Minjun Li
55 papers receiving 790 citations
Peers
Comparison fields: 5 of 114
- Computational Theory and Mathematics 207
- Pharmacology 114
- Infectious Diseases 115
- Molecular Biology 394
- Immunology 94
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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 142 | |
| 2 | 2011 | 86 | |
| 3 | 2019 | 75 | |
| 4 | 2020 | 54 | |
| 5 | 2019 | 45 | |
| 6 | 2020 | 25 | |
| 7 | 2013 | 23 | |
| 8 | 2016 | 23 | |
| 9 | 2003 | 22 | |
| 10 | 2022 | 21 | |
| 11 | 2022 | 20 | |
| 12 | 2020 | 19 | |
| 13 | 2019 | 16 | |
| 14 | 2018 | 16 | |
| 15 | 2022 | 12 | |
| 16 | 2023 | 11 | |
| 17 | 2023 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 1993 | 10 | |
| 20 | 2023 | 9 |
About Minjun Li
Minjun Li is a scholar working on Molecular Biology, Oncology, Immunology, Materials Chemistry and Pulmonary and Respiratory Medicine, having authored 60 papers that have together received 801 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), Bacterial Genetics and Biotechnology (4 papers), interferon and immune responses (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Bacteriophages and microbial interactions (3 papers) and Lung Cancer Research Studies (3 papers). The work is most often cited by research in Computational Theory and Mathematics (207 citations), Pharmacology (114 citations), Infectious Diseases (115 citations), Molecular Biology (394 citations) and Immunology (94 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, Feng Yu, Huan Zhou, Muya Xiong, Qiang Shao, Hualiang Jiang and Qin Xu. Their work appears in journals such as Nature Communications, Bioorganic Chemistry, Journal of Medicinal Chemistry, European 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.