Peter Li

25.6k total citations · 5 hit papers
149 papers, 13.1k citations indexed

About

Peter Li is a scholar working on Applied Mathematics, Geometry and Topology and Molecular Biology. According to data from OpenAlex, Peter Li has authored 149 papers receiving a total of 13.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Applied Mathematics, 38 papers in Geometry and Topology and 26 papers in Molecular Biology. Recurrent topics in Peter Li's work include Geometric Analysis and Curvature Flows (51 papers), Geometry and complex manifolds (24 papers) and Nonlinear Partial Differential Equations (19 papers). Peter Li is often cited by papers focused on Geometric Analysis and Curvature Flows (51 papers), Geometry and complex manifolds (24 papers) and Nonlinear Partial Differential Equations (19 papers). Peter Li collaborates with scholars based in United States, United Kingdom and Canada. Peter Li's co-authors include Jiqiang Guo, Ben Goodrich, Daniel C. Lee, Michael Betancourt, Bob Carpenter, Matthew D. Hoffman, Allen Riddell, Marcus A. Brubaker, Shing Tung Yau and Andrew Gelman and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Physical review. B, Condensed matter.

In The Last Decade

Peter Li

140 papers receiving 12.2k citations

Hit Papers

Stan: A Probabili... 1986 2026 1999 2012 2017 2004 1986 2006 2017 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Li United States 49 3.2k 2.2k 1.9k 1.8k 1.5k 149 13.1k
Donald E. Knuth United States 61 919 0.3× 1.7k 0.8× 273 0.1× 2.3k 1.3× 7.7k 5.2× 266 36.7k
Kanti V. Mardia United Kingdom 48 419 0.1× 1.4k 0.7× 178 0.1× 963 0.5× 274 0.2× 205 13.5k
T. W. Anderson United States 49 1.0k 0.3× 276 0.1× 60 0.0× 763 0.4× 921 0.6× 158 25.4k
Gian‐Carlo Rota United States 70 2.4k 0.8× 4.9k 2.3× 36 0.0× 826 0.5× 1.9k 1.2× 393 25.1k
Alan Edelman United States 34 422 0.1× 536 0.2× 53 0.0× 394 0.2× 1.2k 0.8× 122 9.7k
George H. Weiss United States 77 2.5k 0.8× 305 0.1× 43 0.0× 3.3k 1.8× 1.6k 1.1× 763 37.0k
M. G. Kendall United Kingdom 47 577 0.2× 169 0.1× 91 0.0× 1.0k 0.6× 727 0.5× 161 29.9k
William S. Cleveland United States 46 316 0.1× 97 0.0× 270 0.1× 1.9k 1.1× 990 0.7× 141 28.0k
B. Efron United States 20 385 0.1× 101 0.0× 141 0.1× 1.8k 1.0× 322 0.2× 31 23.1k
Shlomo Havlin Israel 110 199 0.1× 1.9k 0.9× 60 0.0× 9.6k 5.3× 7.5k 5.1× 704 57.1k

Countries citing papers authored by Peter Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Peter Li

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Li. A scholar is included among the top collaborators of Peter Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Li. Peter Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
García-Agúndez, Augusto, et al.. (2023). A feasibility study on AI-controlled closed-loop electrical stimulation implants. Scientific Reports. 13(1). 10163–10163. 3 indexed citations
2.
Armit, Chris, Scott Edmunds, Laurie Goodman, et al.. (2019). Increased interactivity and improvements to the GigaScience database, GigaDB. Database. 2019. 5 indexed citations
3.
Huang, Yongyang, Shunqiang Wang, Qiongyu Guo, et al.. (2017). Optical Coherence Tomography Detects Necrotic Regions and Volumetrically Quantifies Multicellular Tumor Spheroids. Cancer Research. 77(21). 6011–6020. 73 indexed citations
4.
Carpenter, Bob, Andrew Gelman, Matthew D. Hoffman, et al.. (2017). Stan: A Probabilistic Programming Language. Journal of Systems and Software. 76(1). 1–32. 496 indexed citations breakdown →
5.
Henry, Frances, Enakshi Dua, Audrey Kobayashi, et al.. (2016). Race, racialization and Indigeneity in Canadian universities. Race Ethnicity and Education. 20(3). 300–314. 73 indexed citations
6.
Li, Peter, Yuhui Chen, & Alexander Romanovsky. (2005). Measuring the dependability of Web Services for use in e-Science experiments. School of Computing Science Technical Report Series. 1 indexed citations
7.
Price‐Schiavi, Shari A., Eran R. Andrechek, Peter Li, et al.. (2004). Expression, location, and interactions of ErbB2 and its intramembrane ligand Muc4 (sialomucin complex) in rat mammary gland during pregnancy. Journal of Cellular Physiology. 203(1). 44–53. 23 indexed citations
8.
Carraway, Kermit L., et al.. (2002). ErbB2 and Its Ligand Muc4 (Sialomucin Complex) in Rat Lacrimal Gland. Advances in experimental medicine and biology. 506(Pt A). 289–295. 32 indexed citations
9.
Price‐Schiavi, Shari A., Scott Jepson, Peter Li, et al.. (2002). Rat Muc4 (sialomucin complex) reduces binding of anti‐ErbB2 antibodies to tumor cell surfaces, a potential mechanism for herceptin resistance. International Journal of Cancer. 99(6). 783–791. 157 indexed citations
10.
Arango, Maria E., Peter Li, Masanobu Komatsu, et al.. (2001). Production and localization of Muc4/sialomucin complex and its receptor tyrosine kinase ErbB2 in the rat lacrimal gland.. PubMed. 42(12). 2749–56. 42 indexed citations
11.
Li, Peter & Jiaping Wang. (1999). Mean value inequalities. Indiana University Mathematics Journal. 48(4). 1257–1283. 17 indexed citations
12.
Li, Peter, et al.. (1999). Identification of Cell Types in the Developing Goat Mammary Gland. The Histochemical Journal. 31(6). 379–393. 43 indexed citations
13.
Li, Peter & Gang Tian. (1995). On the heat kernel of the Bergmann metric on algebraic varieties. Journal of the American Mathematical Society. 8(4). 857–877. 24 indexed citations
14.
Li, Peter & Gang Tian. (1995). On the Heat Kernel of the Bergmann Metric on Algebraic Varieties. Journal of the American Mathematical Society. 8(4). 857–857. 6 indexed citations
15.
Li, Peter, Luen-Fai Tam, & Jiaping Wang. (1995). Harmonic Diffeomorphisms Between Hadamard Manifolds. Transactions of the American Mathematical Society. 347(9). 3645–3645. 5 indexed citations
16.
Li, Peter, et al.. (1995). Harmonic diffeomorphisms between Hadamard manifolds. Transactions of the American Mathematical Society. 347(9). 3645–3658. 6 indexed citations
17.
Li, Peter. (1993). Lecture notes on geometric analysis. 97 indexed citations
18.
Li, Peter & Shing‐Tung Yau. (1990). Curvature and holomorphic mappings of complete Kähler manifolds. Compositio Mathematica. 73(2). 125–144. 11 indexed citations
19.
Li, Peter. (1987). A two-dimensional intake manifold flow simulation. Mathematical Modelling. 8. 437–442. 2 indexed citations
20.
Li, Peter, Richard Schoen, & Shing‐Tung Yau. (1984). On the isoperimetric inequality for minimal surfaces. French digital mathematics library (Numdam). 11(2). 237–244. 21 indexed citations

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.

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