Ming Li
Impact in
- Virology top 0.2%
- HIV Research and Treatment
- Cancer Research top 1%
- MicroRNA in disease regulation
Papers in
-
- Extracellular vesicles in disease 15
- Immunology 57
- Immune Cell Function and Interaction 30
- T-cell and B-cell Immunology 17
- Co-authors
- D.C. Liebler (17 shared papers)Robbert J.C. Slebos (14 shared papers)Janice E. Clements (14 shared papers)Reuben S. Harris (13 shared papers)Lúcio Gama (12 shared papers)Amy‐Joan L. Ham (6 shared papers)Yu Shyr (18 shared papers)Joseph L. Mankowski (11 shared papers)
- Journals
- PLoS ONE (9 papers)Molecular & Cellular Proteomics (9 papers)Journal of Proteome Research (7 papers)Oncotarget (5 papers)Medicine (5 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ming Li
369 papers receiving 10.4k citations
Ming Li's Hit Papers
Peers
Comparison fields: 5 of 176
- Virology 1.6k
- Cancer Research 1.3k
- Immunology 1.9k
- Molecular Biology 4.2k
- Infectious Diseases 1.0k
Countries citing papers authored by Ming Li
This map shows the geographic impact of Ming 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 Ming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Li more than expected).
Fields of papers citing papers by Ming Li
This network shows the impact of papers produced by Ming 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 Ming Li. The network helps show where Ming Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 397 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 446 | |
| 2 | 2006 | 316 | |
| 3 | 2011 | 301 | |
| 4 | 2008 | 237 | |
| 5 | 1999 | 202 | |
| 6 | 2009 | 179 | |
| 7 | 2014 | 159 | |
| 8 | 2017 | 150 | |
| 9 | 2007 | 148 | |
| 10 | 2016 | 129 | |
| 11 | 2012 | 128 | |
| 12 | 2002 | 128 | |
| 13 | 2017 | 125 | |
| 14 | 2016 | 117 | |
| 15 | 2011 | 108 | |
| 16 | 2017 | 104 | |
| 17 | 2014 | 103 | |
| 18 | 2010 | 103 | |
| 19 | Gelable and Adhesive Powder for Lethal Non‐Compressible Hemorrhage Control Hit paper breakdown → | 2023 | 98 |
| 20 | 2002 | 96 |
About Ming Li
Ming Li is a scholar working on Molecular Biology, Immunology, Cancer Research, Virology and Oncology, having authored 397 papers that have together received 10.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (43 papers), Immune Cell Function and Interaction (30 papers), Advanced Proteomics Techniques and Applications (21 papers), HIV/AIDS drug development and treatment (20 papers), T-cell and B-cell Immunology (17 papers), Cancer, Hypoxia, and Metabolism (17 papers), Extracellular vesicles in disease (15 papers) and Monoclonal and Polyclonal Antibodies Research (14 papers). The work is most often cited by research in Virology (1.6k citations), Cancer Research (1.3k citations), Immunology (1.9k citations), Molecular Biology (4.2k citations) and Infectious Diseases (1.0k citations). Ming Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include D.C. Liebler, Robbert J.C. Slebos, Janice E. Clements, Reuben S. Harris, Lúcio Gama, Amy‐Joan L. Ham, Yu Shyr, Joseph L. Mankowski, Patrick J. Halvey and Corbin A. Whitwell. Their work appears in journals such as PLoS ONE, Molecular & Cellular Proteomics, Journal of Proteome Research, Oncotarget and Medicine.
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.