Peter Li
Impact in
- Mathematical Physics top 5%
- Spectral Theory in Mathematical Physics
- Applied Mathematics top 2%
- Nonlinear Partial Differential Equations
- Geometric Analysis and Curvature Flows
Papers in
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- Numerical methods in inverse problems 3
-
- Metabolism, Diabetes, and Cancer 1
- Co-authors
- Shing Tung Yau (1 shared paper)Harold Donnelly (1 shared paper)Shiu‐Yuen Cheng (1 shared paper)Justin Salamon (1 shared paper)Juan Pablo Bello (1 shared paper)Mark Cartwright (1 shared paper)Donald Edmondson (1 shared paper)Louise Falzon (1 shared paper)
- Journals
- Duke Mathematical Journal (1 paper)Cancer Causes & Control (1 paper)European Journal of Gastroenterology & Hepatology (1 paper)International Journal of Experimental Pathology (1 paper)Pancreas (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Peter Li
15 papers receiving 803 citations
Peers
Comparison fields: 5 of 110
- Mathematical Physics 244
- Applied Mathematics 242
- Biological Psychiatry 38
- Computational Theory and Mathematics 180
- Behavioral Neuroscience 39
Countries citing papers authored by Peter Li
This map shows the geographic impact of Peter 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 Peter Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Li more than expected).
Fields of papers citing papers by Peter Li
This network shows the impact of papers produced by Peter 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 Peter Li. The network helps show where Peter Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter 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
| # | Work | ||
|---|---|---|---|
| 1 | 1983 | 254 | |
| 2 | 2014 | 177 | |
| 3 | 2017 | 116 | |
| 4 | 2017 | 69 | |
| 5 | 1979 | 66 | |
| 6 | 1981 | 62 | |
| 7 | 2015 | 57 | |
| 8 | 1998 | 22 | |
| 9 | 2021 | 22 | |
| 10 | 2021 | 12 | |
| 11 | 2015 | 8 | |
| 12 | 2012 | 4 | |
| 13 | 2011 | 4 | |
| 14 | 2025 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 1977 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 |
About Peter Li
Peter Li is a scholar working on Mathematical Physics, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 18 papers that have together received 876 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (3 papers), Vaccine Coverage and Hesitancy (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Advanced Mathematical Modeling in Engineering (2 papers), Soft tissue tumor case studies (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Geometric Analysis and Curvature Flows (1 paper). The work is most often cited by research in Mathematical Physics (244 citations), Applied Mathematics (242 citations), Biological Psychiatry (38 citations), Computational Theory and Mathematics (180 citations) and Behavioral Neuroscience (39 citations). Peter Li has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Shing Tung Yau, Harold Donnelly, Shiu‐Yuen Cheng, Justin Salamon, Juan Pablo Bello, Mark Cartwright, Donald Edmondson, Louise Falzon, Lauren Taggart Wasson and Jonathan A. Shaffer. Their work appears in journals such as Duke Mathematical Journal, Cancer Causes & Control, European Journal of Gastroenterology & Hepatology, International Journal of Experimental Pathology and Pancreas.
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.