Jun‐Li Cao

5.6k citations
158 papers · 4.1k · h-index 35

Impact in

Papers in

Jun‐Li Cao

153 papers receiving 4.0k citations

Peers

Jun‐Li Cao
Comparison fields: 5 of 113
  • Behavioral Neuroscience 498
  • Biological Psychiatry 295
  • Cellular and Molecular Neuroscience 1.4k
  • Endocrine and Autonomic Systems 357
  • Physiology 1.2k
Replace Gen-Cheng Wu with:
Gen-Cheng Wu China
Toshihiko Katafuchi Japan
Venetia Zachariou United States
Gregory A. Ordway United States
Mitsuhiro Yoshioka Japan
Hiroko Togashi Japan
Robert P. Bonin Canada
John Q. Wang United States
Steven P. Wilson United States
Michiko Narita Japan
Jun‐Li Cao relative to Gen-Cheng Wu China Gen-Cheng Wu's profile →
Citations per field
00.5×2×3.3×
Gen-Cheng Wu · 1×
Citations per year

Countries citing papers authored by Jun‐Li Cao

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Li Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun‐Li Cao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun‐Li Cao Line = papers co-authored together Jun‐Li Cao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010324
2 2009295
3 2010207
4 2021114
5 2005111
6 2011106
7 200895
8 201493
9 201087
10 201285
11 201782
12 201976
13 202274
14 201567
15 202365
16 201561
17 200559
18 201758
19 200657
20 201657

About Jun‐Li Cao

Jun‐Li Cao is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Behavioral Neuroscience and Cognitive Neuroscience, having authored 158 papers that have together received 4.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (56 papers), Neuroscience and Neuropharmacology Research (28 papers), Stress Responses and Cortisol (20 papers), Neurotransmitter Receptor Influence on Behavior (19 papers), Neuropeptides and Animal Physiology (14 papers), Neuroendocrine regulation and behavior (13 papers), Ion channel regulation and function (11 papers) and Sleep and Wakefulness Research (10 papers). The work is most often cited by research in Behavioral Neuroscience (498 citations), Biological Psychiatry (295 citations), Cellular and Molecular Neuroscience (1.4k citations), Endocrine and Autonomic Systems (357 citations) and Physiology (1.2k citations). Jun‐Li Cao has collaborated with scholars based in China, United States and France. Frequent co-authors include Ming‐Hu Han, Eric J. Nestler, Hongxing Zhang, Donald Cooper, Zeng Yin-ming, Hai‐Lei Ding, Licai Zhang, Jessica J. Walsh, Herbert E. Covington and Allyson K. Friedman. Their work appears in journals such as Journal of Neuroscience, Pain, Nature Communications, Anesthesiology and Neuroscience.

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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