Ming Shi
Impact in
- Nephrology top 10%
- Dialysis and Renal Disease Management
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
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- Protein Kinase Regulation and GTPase Signaling 3
-
- Renal Diseases and Glomerulopathies 2
- Co-authors
- Zheng Yang (2 shared papers)David A. Foster (2 shared papers)Yingjie Shen (1 shared paper)Hui Li (1 shared paper)Alfredo Toschi (1 shared paper)Vanessa Rodrik-Outmezguine (1 shared paper)Chun Zhang (2 shared papers)Jing Liu (1 shared paper)
- Journals
- Frontiers in Pharmacology (2 papers)Journal of Cellular Physiology (1 paper)BMC Cancer (1 paper)Acta Pharmacologica Sinica (1 paper)Journal of Environmental Science and Health Part B (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Ming Shi
20 papers receiving 538 citations
Peers
Comparison fields: 5 of 77
- Nephrology 77
- Infectious Diseases 194
- Neurology 105
- Oncology 140
- Geriatrics and Gerontology 15
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 190 | |
| 2 | 2006 | 109 | |
| 3 | 2007 | 56 | |
| 4 | 2015 | 32 | |
| 5 | 2020 | 30 | |
| 6 | 2006 | 27 | |
| 7 | 2019 | 25 | |
| 8 | 2020 | 17 | |
| 9 | 2004 | 11 | |
| 10 | 2020 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2007 | 8 | |
| 13 | 2017 | 8 | |
| 14 | 2023 | 5 | |
| 15 | 2013 | 5 | |
| 16 | [Angiotensin II-induced podocyte apoptosis: role of the MAPK subtypes]. | 2004 | 3 |
| 17 | [Study on the inducible expression of toll-like receptors in human bladder cell line]. | 2004 | 3 |
| 18 | 2024 | 1 | |
| 19 | [Sphingosine kinase 1 promotes glioma cell proliferation under hypoxia via calcium signaling]. | 2015 | 1 |
| 20 | 2020 | 1 |
About Ming Shi
Ming Shi is a scholar working on Molecular Biology, Nephrology, Neurology, Oncology and Infectious Diseases, having authored 22 papers that have together received 551 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (4 papers), COVID-19 Clinical Research Studies (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), HER2/EGFR in Cancer Research (2 papers), Renal Diseases and Glomerulopathies (2 papers), Immune Response and Inflammation (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Nephrology (77 citations), Infectious Diseases (194 citations), Neurology (105 citations), Oncology (140 citations) and Geriatrics and Gerontology (15 citations). Ming Shi has collaborated with scholars based in China and United States. Frequent co-authors include Zheng Yang, David A. Foster, Yingjie Shen, Hui Li, Alfredo Toschi, Vanessa Rodrik-Outmezguine, Chun Zhang, Jing Liu, Hui Tang and Fei Xiong. Their work appears in journals such as Frontiers in Pharmacology, Journal of Cellular Physiology, BMC Cancer, Acta Pharmacologica Sinica and Journal of Environmental Science and Health Part B.
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.