Ping Li
Impact in
- Physiology top 0.5%
- Adenosine and Purinergic Signaling
- Cancer Research top 2%
- MicroRNA in disease regulation
Papers in
-
- TGF-β signaling in diseases 14
- Heme Oxygenase-1 and Carbon Monoxide 10
-
- MicroRNA in disease regulation 20
- Co-authors
- Edward Schwarz (2 shared papers)Timothy H. Murphy (2 shared papers)Yuan‐Guo Zhou (48 shared papers)Christopher T. Ritchlin (1 shared paper)David G. Hicks (1 shared paper)Sally A. Haas-Smith (1 shared paper)Nan Yang (31 shared papers)Susumu Sugai (3 shared papers)
- Journals
- PLoS ONE (11 papers)Medicine (10 papers)International Journal of Biological Macromolecules (5 papers)Frontiers in Pharmacology (5 papers)Cell Death and Disease (5 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ping Li
565 papers receiving 15.9k citations
Ping Li's Hit Papers
Peers
Comparison fields: 5 of 164
- Physiology 427
- Cancer Research 935
- Neurology 515
- Infectious Diseases 1.2k
- Molecular Biology 3.9k
Countries citing papers authored by Ping Li
This map shows the geographic impact of Ping 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 Ping Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Li more than expected).
Fields of papers citing papers by Ping Li
This network shows the impact of papers produced by Ping 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 Ping Li. The network helps show where Ping Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping 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 594 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Phase I/II study of COVID-19 RNA vaccine BNT162b1 in adults Hit paper breakdown → | 2020 | 1270 |
| 2 | 1995 | 579 | |
| 3 | 2003 | 536 | |
| 4 | 2007 | 313 | |
| 5 | Meta‐analysis on shift work and risks of specific obesity types Hit paper breakdown → | 2017 | 283 |
| 6 | 2019 | 206 | |
| 7 | 2008 | 196 | |
| 8 | 2002 | 188 | |
| 9 | Toripalimab Plus Chemotherapy for Recurrent or Metastatic Nasopharyngeal Carcinoma Hit paper breakdown → | 2023 | 156 |
| 10 | 2010 | 147 | |
| 11 | 2013 | 142 | |
| 12 | 2005 | 139 | |
| 13 | 2015 | 128 | |
| 14 | 2011 | 126 | |
| 15 | 2003 | 123 | |
| 16 | 2008 | 121 | |
| 17 | 2017 | 115 | |
| 18 | 2020 | 111 | |
| 19 | 2008 | 110 | |
| 20 | 1998 | 109 |
About Ping Li
Ping Li is a scholar working on Molecular Biology, Cancer Research, Neurology, Physiology and Epidemiology, having authored 594 papers that have together received 16.4k indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (26 papers), MicroRNA in disease regulation (20 papers), TGF-β signaling in diseases (14 papers), Wound Healing and Treatments (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Heme Oxygenase-1 and Carbon Monoxide (10 papers), Neuroscience and Neuropharmacology Research (10 papers) and Chronic Kidney Disease and Diabetes (10 papers). The work is most often cited by research in Physiology (427 citations), Cancer Research (935 citations), Neurology (515 citations), Infectious Diseases (1.2k citations) and Molecular Biology (3.9k citations). Ping Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Edward Schwarz, Timothy H. Murphy, Yuan‐Guo Zhou, Christopher T. Ritchlin, David G. Hicks, Sally A. Haas-Smith, Nan Yang, Susumu Sugai, Noriyoshi Ogawa and Jiang‐Fan Chen. Their work appears in journals such as PLoS ONE, Medicine, International Journal of Biological Macromolecules, Frontiers in Pharmacology and Cell Death and Disease.
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.