Chaoran Wang

1.1k citations
40 papers · 731 · h-index 14

Impact in

Papers in

    • Receptor Mechanisms and Signaling 3
    • Nicotinic Acetylcholine Receptors Study 3
    • Natural product bioactivities and synthesis 3
    • Mycobacterium research and diagnosis 2

Chaoran Wang

33 papers receiving 721 citations

Peers

Chaoran Wang
Comparison fields: 5 of 139
  • Biological Psychiatry 83
  • Behavioral Neuroscience 57
  • Health Informatics 12
  • Neurology 52
  • Water Science and Technology 82
Replace Qianqian Cao with:
Qianqian Cao China
Guochun He United States
Marielle Delnomdedieu United States
Zhenyu Guo China
William J. Wheeler United States
Oddvar Myhre Norway
Matthew B. Wright Switzerland
Zongyong Zhang China
Jinwen Ge China
Yinyin Xia China
Chaoran Wang relative to Qianqian Cao China Qianqian Cao's profile →
Citations per field
00.5×1.5×2.3×
Qianqian Cao · 1×
Citations per year

Countries citing papers authored by Chaoran Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chaoran Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019142
2 2010105
3 2017102
4 201663
5 202441
6 201729
7 202328
8 202024
9 201421
10 202318
11 201817
12 202217
13 201916
14 202115
15 202011
16 202210
17 20149
18 20198
19 20188
20 20198

About Chaoran Wang

Chaoran Wang is a scholar working on Molecular Biology, Epidemiology, Cellular and Molecular Neuroscience, Cancer Research and Pharmacology, having authored 40 papers that have together received 731 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (3 papers), Analytical Chemistry and Chromatography (3 papers), Chromatography in Natural Products (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Natural product bioactivities and synthesis (3 papers), Mycobacterium research and diagnosis (2 papers), Berberine and alkaloids research (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Biological Psychiatry (83 citations), Behavioral Neuroscience (57 citations), Health Informatics (12 citations), Neurology (52 citations) and Water Science and Technology (82 citations). Chaoran Wang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Gustaf Olsson, Min Yu, Honggang Fan, Manyu Song, Xiujing Feng, Tianyuan Yang, Yi Liu, Yujie Yao, Chunyan Wang and Yuan Zhao. Their work appears in journals such as PLoS ONE, Journal of Ethnopharmacology, Frontiers in Oncology, Journal of Pharmaceutical and Biomedical Analysis and Computers and Education Artificial Intelligence.

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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