Jun‐Li Cao

217 papers receiving 5.0k citations

Peers

Jun‐Li Cao
Comparison fields: 5 of 151
  • Behavioral Neuroscience 547
  • Biological Psychiatry 351
  • Cellular and Molecular Neuroscience 1.6k
  • Developmental Neuroscience 356
  • Anesthesiology and Pain Medicine 337
Replace Heidrun Fink with:
Heidrun Fink Germany
Chaim G. Pick Israel
Yehuda Shavit Israel
David P. Finn Ireland
Alberto E. Panerai Italy
Yu‐Qiu Zhang China
Colin Sumners United States
Luis Valmor Portela Brazil
Simon Beggs Canada
Peter M. Grace United States
Jun‐Li Cao relative to Heidrun Fink Germany Heidrun Fink's profile →
Citations per field
00.5×4.6×
Heidrun Fink · 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 228 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010307
2 2009282
3 2010192
4 2005106
5 2021106
6 2011101
7 200891
8 201489
9 201086
10 201283
11 201779
12 201679
13 201779
14 201678
15 202176
16 201972
17 201366
18 202265
19 201565
20 202362

About Jun‐Li Cao

Jun‐Li Cao is a scholar working on Developmental Neuroscience, Behavioral Neuroscience, Cellular and Molecular Neuroscience, Physiology and Critical Care and Intensive Care Medicine, having authored 228 papers that have together received 5.0k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (68 papers), Neuroscience and Neuropharmacology Research (39 papers), Neuropeptides and Animal Physiology (23 papers), Anesthesia and Neurotoxicity Research (22 papers), Stress Responses and Cortisol (20 papers), Neurotransmitter Receptor Influence on Behavior (20 papers), Intensive Care Unit Cognitive Disorders (15 papers) and Neuroendocrine regulation and behavior (15 papers). The work is most often cited by research in Behavioral Neuroscience (547 citations), Biological Psychiatry (351 citations), Cellular and Molecular Neuroscience (1.6k citations), Developmental Neuroscience (356 citations) and Anesthesiology and Pain Medicine (337 citations). Jun‐Li Cao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ming‐Hu Han, Hongxing Zhang, Eric J. Nestler, Donald Cooper, Zeng Yin-ming, Hai‐Lei Ding, Licai Zhang, He Liu, Colleen A. McClung and Herbert E. Covington. Their work appears in journals such as Journal of Neuroscience, Pain, Nature Communications, Anesthesiology and Frontiers in Neuroanatomy.

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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