Junran Cao

641 citations
20 papers · 553 · h-index 16

Impact in

Papers in

Junran Cao

20 papers receiving 548 citations

Peers

Junran Cao
Comparison fields: 5 of 69
  • Virology 97
  • Cellular and Molecular Neuroscience 156
  • Behavioral Neuroscience 15
  • Physiology 123
  • Developmental Neuroscience 13
Replace Kathy L. Kopnisky with:
Kathy L. Kopnisky United States
Jelger A. Kalmijn United States
Sarah J. Bertrand United States
Jacqueline Samantha Womersley South Africa
Julie L. MacIsaac Canada
Ashiwel S. Undieh United States
Ray Ownby United States
Nicolas Marie France
Nathalie V. Goletiani United States
Ellen B. Geller United States
Junran Cao relative to Kathy L. Kopnisky United States Kathy L. Kopnisky's profile →
Citations per field
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Kathy L. Kopnisky · 1×
Citations per year

Countries citing papers authored by Junran Cao

Since Specialization
Citations

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

Fields of papers citing papers by Junran Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201657
2 200755
3 200747
4 201041
5 201338
6 200236
7 201034
8 201031
9 200626
10 201125
11 201524
12 201023
13 201321
14 201120
15 201320
16 201319
17 201513
18 20138
19 20168
20 20127

About Junran Cao

Junran Cao is a scholar working on Virology, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health, Physiology and Molecular Biology, having authored 20 papers that have together received 553 indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (5 papers), Prenatal Substance Exposure Effects (5 papers), HIV Research and Treatment (5 papers), Nicotinic Acetylcholine Receptors Study (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Health disparities and outcomes (1 paper), Nuclear Receptors and Signaling (1 paper) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Virology (97 citations), Cellular and Molecular Neuroscience (156 citations), Behavioral Neuroscience (15 citations), Physiology (123 citations) and Developmental Neuroscience (13 citations). Junran Cao has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Frances M. Leslie, Ming D. Li, Anu Rammohan, Sandra E. Loughlin, Sulie L. Chang, James D. Belluzzi, Satoshi Ikemoto, Shahrdad Lotfipour, Jennifer B. Dwyer and Michael Vigorito. Their work appears in journals such as PLoS ONE, Journal of NeuroVirology, The International Journal of Neuropsychopharmacology, Neuropsychopharmacology and Pharmacology Biochemistry and Behavior.

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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