Ming Shi
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- interferon and immune responses
- Immune cells in cancer
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- RNA Research and Splicing 7
- Gene Regulatory Network Analysis 4
- Immunology 18
- Immune Response and Inflammation 6
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 5
- interferon and immune responses 5
- Co-authors
- Henry Jay Forman (3 shared papers)Xi Chen (2 shared papers)Kai Li (1 shared paper)Qiong Wu (1 shared paper)Shuai Qu (1 shared paper)Yuanfei Yao (7 shared papers)Henry A. Choy (2 shared papers)Evelyne Gozal (1 shared paper)
- Journals
- Frontiers in Immunology (3 papers)Free Radical Biology and Medicine (2 papers)Journal of Inflammation Research (2 papers)Molecular Carcinogenesis (2 papers)IET Systems Biology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ming Shi
49 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 108
- Immunology 343
- Cancer Research 243
- Biochemistry 81
- Molecular Biology 543
- Oncology 183
Countries citing papers authored by Ming Shi
This map shows the geographic impact of Ming Shi'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 Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Shi more than expected).
Fields of papers citing papers by Ming Shi
This network shows the impact of papers produced by Ming Shi. 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 Shi. The network helps show where Ming Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Shi, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 135 | |
| 2 | 2018 | 128 | |
| 3 | 1993 | 89 | |
| 4 | 2016 | 79 | |
| 5 | 2018 | 73 | |
| 6 | 2022 | 70 | |
| 7 | 1992 | 54 | |
| 8 | 2024 | 49 | |
| 9 | 2023 | 37 | |
| 10 | 2019 | 32 | |
| 11 | 2022 | 29 | |
| 12 | 2014 | 28 | |
| 13 | 2020 | 25 | |
| 14 | 2019 | 22 | |
| 15 | 2015 | 20 | |
| 16 | 2024 | 19 | |
| 17 | 2015 | 18 | |
| 18 | 2014 | 15 | |
| 19 | 2015 | 14 | |
| 20 | 2008 | 14 |
About Ming Shi
Ming Shi is a scholar working on Molecular Biology, Immunology, Epidemiology, Cancer Research and Cell Biology, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), Immune Response and Inflammation (6 papers), Hepatitis B Virus Studies (5 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (5 papers), Cancer-related molecular mechanisms research (5 papers), interferon and immune responses (5 papers) and Gene Regulatory Network Analysis (4 papers). The work is most often cited by research in Immunology (343 citations), Cancer Research (243 citations), Biochemistry (81 citations), Molecular Biology (543 citations) and Oncology (183 citations). Ming Shi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Henry Jay Forman, Xi Chen, Kai Li, Qiong Wu, Shuai Qu, Yuanfei Yao, Henry A. Choy, Evelyne Gozal, Hao Wu and Li Yu. Their work appears in journals such as Frontiers in Immunology, Free Radical Biology and Medicine, Journal of Inflammation Research, Molecular Carcinogenesis and IET Systems Biology.
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.