Junming Wang

749 citations
40 papers · 578 · h-index 15

Impact in

Papers in

Junming Wang

37 papers receiving 565 citations

Peers

Junming Wang
Comparison fields: 5 of 87
  • Biological Psychiatry 94
  • Behavioral Neuroscience 50
  • Complementary and alternative medicine 95
  • Pharmacology 90
  • Neurology 43
Replace Qun Xu with:
Qun Xu China
Manoj Aswar India
Yun‐Beom Sim South Korea
MK Bhutani India
Ming Bai China
Xinjian Qiu China
Ji-Duo Shen China
Kaishun Bi China
Satyanarayana S. V. Padi India
Xiaoyan Fang China
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Citations per field
00.5×5.8×
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Citations per year

Countries citing papers authored by Junming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junming 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 Junming Wang Line = papers co-authored together Junming 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 201946
2 202144
3 202140
4 202139
5 201636
6 201133
7 201832
8 201328
9 201828
10 202127
11 201026
12 201426
13 202323
14 202218
15
[Evaluation on hepatotoxicity caused by Dioscorea bulbifera based on analysis of bile acids].
201117
16 201912
17 202412
18 201810
19 20239
20 20238

About Junming Wang

Junming Wang is a scholar working on Complementary and alternative medicine, Molecular Biology, Biological Psychiatry, Behavioral Neuroscience and Pharmacology, having authored 40 papers that have together received 578 indexed citations. Recurring topics across this work include Tryptophan and brain disorders (9 papers), Natural Compounds in Disease Treatment (7 papers), Stress Responses and Cortisol (6 papers), Medicinal Plants and Neuroprotection (3 papers), Traditional Chinese Medicine Analysis (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Drug-Induced Hepatotoxicity and Protection (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Biological Psychiatry (94 citations), Behavioral Neuroscience (50 citations), Complementary and alternative medicine (95 citations), Pharmacology (90 citations) and Neurology (43 citations). Junming Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaohui Wu, Yueyue Zhang, Lingling Song, Zhengtao Wang, Yanmei Wang, Lili Ji, Ying Cui, Ying Cui, Chen Liu and Yong‐Xian Cheng. Their work appears in journals such as Pharmaceutical Biology, BMC Psychiatry, Journal of Ethnopharmacology, Frontiers in Neuroscience and Fitoterapia.

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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