Shao‐Ming Wang

785 citations
27 papers · 620 · h-index 16

Impact in

Papers in

    • Pharmacological Receptor Mechanisms and Effects 6
    • Neuroinflammation and Neurodegeneration Mechanisms 6

Shao‐Ming Wang

25 papers receiving 612 citations

Peers

Shao‐Ming Wang
Comparison fields: 5 of 87
  • Biological Psychiatry 40
  • Cancer Research 115
  • Neurology 63
  • Physiology 26
  • Molecular Biology 351
Replace Pedro A. Dionísio with:
Pedro A. Dionísio Portugal
Tz‐Chuen Ju Taiwan
Chunyan Xu China
Fangfang Dou China
Nona Abolhassani Japan
Ricardo Palacios Peláez United States
Sara Martire United States
Yunbo Li United States
Eunju Im South Korea
Shiyong Diao United States
Shao‐Ming Wang relative to Pedro A. Dionísio Portugal Pedro A. Dionísio's profile →
Citations per field
00.5×1.5×
Pedro A. Dionísio · 1×
Citations per year

Countries citing papers authored by Shao‐Ming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shao‐Ming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201066
2 201550
3 201344
4 201342
5 202241
6 201438
7 202036
8 202035
9 201834
10 201432
11 202127
12 201727
13 201525
14 201923
15 201521
16 201220
17 202112
18 201411
19 202410
20 20238

About Shao‐Ming Wang

Shao‐Ming Wang is a scholar working on Molecular Biology, Neurology, Physiology, Cancer Research and Pharmacology, having authored 27 papers that have together received 620 indexed citations. Recurring topics across this work include Pharmacological Receptor Mechanisms and Effects (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), MicroRNA in disease regulation (4 papers), Tryptophan and brain disorders (4 papers), Alzheimer's disease research and treatments (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Biomarkers in Disease Mechanisms (3 papers) and Bipolar Disorder and Treatment (2 papers). The work is most often cited by research in Biological Psychiatry (40 citations), Cancer Research (115 citations), Neurology (63 citations), Physiology (26 citations) and Molecular Biology (351 citations). Shao‐Ming Wang has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include Ju-Ming Wang, Chiung‐Yuan Ko, Yu‐Yi Chu, Tsung‐Ping Su, Wen‐Chang Chang, Hsiang-En Wu, Hong-Yi Lin, Yuko Yasui, Jyh‐Ferng Yang and Tangui Maurice. Their work appears in journals such as Molecular Neurobiology, Journal of Neuroinflammation, Neurobiology of Aging, Redox Biology and Autophagy.

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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