Peng Li

23.2k total citations · 7 hit papers
548 papers, 17.4k citations indexed

About

Peng Li is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Peng Li has authored 548 papers receiving a total of 17.4k indexed citations (citations by other indexed papers that have themselves been cited), including 210 papers in Molecular Biology, 76 papers in Cardiology and Cardiovascular Medicine and 76 papers in Epidemiology. Recurrent topics in Peng Li's work include Autophagy in Disease and Therapy (31 papers), Neuroinflammation and Neurodegeneration Mechanisms (27 papers) and Animal Nutrition and Physiology (21 papers). Peng Li is often cited by papers focused on Autophagy in Disease and Therapy (31 papers), Neuroinflammation and Neurodegeneration Mechanisms (27 papers) and Animal Nutrition and Physiology (21 papers). Peng Li collaborates with scholars based in China, United States and Japan. Peng Li's co-authors include Guoyao Wu, Keli Han, Fabiao Yu, Bingshuai Wang, Thomas E. Spencer, Fuller W. Bazer, M. Carey Satterfield, John C. Longhurst, Sung Woo Kim and Yulong Yin and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Peng Li

526 papers receiving 17.0k citations

Hit Papers

Arginine metabolism and nutrition in growth, health and d... 2008 2026 2014 2020 2008 2020 2014 2013 2010 250 500 750 1000

Peers

Peng Li
Comparison fields: 5 of 189
  • Molecular Biology 6.3k
  • Physiology 2.0k
  • Immunology 1.6k
  • Cardiology and Cardiovascular Medicine 1.6k
  • Oncology 1.5k
Replace Peter J. O’Brien with:
Peter J. O’Brien Canada
Yan Zhang China
Stephen Barnes United States
Makoto Suematsu Japan
James A. Hamilton United States
Gerhard Liebisch Germany
Lucas Liaudet Switzerland
Michael J. Dünn United States
Makoto Arita Japan
Ron A. Wevers Netherlands
Peter J. O’Brien Canada View profile →
Citations per field, relative to Peng Li
Peng Li · 1×
Citations per year, relative to Peng Li
Peng Li · 1×

Countries citing papers authored by Peng Li

Since Specialization
Citations

This map shows the geographic impact of Peng 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 Peng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Li more than expected).

Fields of papers citing papers by Peng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peng 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 Peng Li. The network helps show where Peng Li may publish in the future.

Co-authorship network of co-authors of Peng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Li. A scholar is included among the top collaborators of Peng 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 Peng Li. Peng 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
# Work Indexed citations
1 0
2 1
3 0
4 3
5 8
6 2
7 0
8 4
9 1
10 14
11 9
12 0
13 1
14 16
15 15
16 112
17 29
18 12
19 348
20
Plant Polypeptide Signals:Properties and Functions
2

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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