Jun Cao

2.4k citations
64 papers · 2.0k · h-index 27

Impact in

Papers in

Jun Cao

60 papers receiving 2.0k citations

Peers

Jun Cao
Comparison fields: 5 of 98
  • Behavioral Neuroscience 458
  • Biological Psychiatry 157
  • Cellular and Molecular Neuroscience 857
  • Developmental Neuroscience 182
  • Cognitive Neuroscience 497
Replace L. Prut with:
L. Prut Switzerland
Milena de Barros Viana Brazil
Regina H. Silva Brazil
Rosana Camarini Brazil
Raymond Mongeau France
Leandro J. Bertoglio Brazil
A. Dalvi United Kingdom
Joyce Besheer United States
Nikolay Lukoyanov Portugal
Emilio Fernández‐Espejo Spain
Jun Cao relative to L. Prut Switzerland L. Prut's profile →
Citations per field
00.5×1.5×
L. Prut · 1×
Citations per year

Countries citing papers authored by Jun Cao

Since Specialization
Citations

This map shows the geographic impact of Jun 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 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 Cao more than expected).

Fields of papers citing papers by Jun Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun 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 Cao Line = papers co-authored together Jun Cao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007143
2 2008137
3 2006134
4 2006132
5 2008116
6 2007106
7 201074
8 200472
9 200363
10 200660
11 200552
12 200349
13 201544
14 201341
15 200438
16 200537
17 201236
18 201235
19 201335
20 201433

About Jun Cao

Jun Cao is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Behavioral Neuroscience and Social Psychology, having authored 64 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (32 papers), Memory and Neural Mechanisms (24 papers), Stress Responses and Cortisol (15 papers), Neuroendocrine regulation and behavior (9 papers), Receptor Mechanisms and Signaling (8 papers), Neural dynamics and brain function (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Anesthesia and Neurotoxicity Research (5 papers). The work is most often cited by research in Behavioral Neuroscience (458 citations), Biological Psychiatry (157 citations), Cellular and Molecular Neuroscience (857 citations), Developmental Neuroscience (182 citations) and Cognitive Neuroscience (497 citations). Jun Cao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Lin Xu, Huili Han, Rongrong Mao, Zhifang Dong, Ya Yang, Jichuan Zhang, Hongbin Li, Qi‐Xin Zhou, Meng Tian and Yuexiong Yang. Their work appears in journals such as Hippocampus, Neuroscience Research, Brain Research, Journal of Neuroscience 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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