Shih‐Ming Chen

1.1k citations
48 papers · 833 · h-index 18

Impact in

    • Drug-Induced Hepatotoxicity and Protection
  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies
    • Gout, Hyperuricemia, Uric Acid

Papers in

Shih‐Ming Chen

45 papers receiving 819 citations

Peers

Shih‐Ming Chen
Comparison fields: 5 of 119
  • Pharmacology 179
  • Nephrology 117
  • Applied Microbiology and Biotechnology 32
  • Analytical Chemistry 109
  • Clinical Biochemistry 70
Replace Tony K. L. Kiang with:
Tony K. L. Kiang Canada
Shaojun Shi China
Xianglin Zhang China
John Lettieri United States
Sara Anees Khan India
A Ramachandran India
Douglas S. Greene United States
Amir Hooshang Mohammadpour Iran
Eun Kyoung Chung South Korea
Tony W.L. Mak Hong Kong
Shih‐Ming Chen relative to Tony K. L. Kiang Canada Tony K. L. Kiang's profile →
Citations per field
00.5×2.8×
Tony K. L. Kiang · 1×
Citations per year

Countries citing papers authored by Shih‐Ming Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Ming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004109
2 200864
3 200648
4 201739
5 200438
6 201236
7 201436
8 201833
9 201533
10 200532
11 201932
12 200729
13 201025
14 201524
15 201419
16 200218
17 202018
18 201617
19 201516
20 201715

About Shih‐Ming Chen

Shih‐Ming Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Nephrology, Pharmacology, Pharmacology and Molecular Biology, having authored 48 papers that have together received 833 indexed citations. Recurring topics across this work include Nephrotoxicity and Medicinal Plants (12 papers), Drug-Induced Hepatotoxicity and Protection (9 papers), Heavy Metals in Plants (5 papers), Renal Diseases and Glomerulopathies (5 papers), Advanced Glycation End Products research (5 papers), Diabetes Treatment and Management (4 papers), Trace Elements in Health (4 papers) and Pharmacology and Obesity Treatment (4 papers). The work is most often cited by research in Pharmacology (179 citations), Nephrology (117 citations), Applied Microbiology and Biotechnology (32 citations), Analytical Chemistry (109 citations) and Clinical Biochemistry (70 citations). Shih‐Ming Chen has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Jen‐Ai Lee, Hsiang‐Yin Chen, Ming‐Chia Lee, Ching‐Kuo Lee, Noriko Sato, Nobunori Satoh, Shiro Ueda, Chih‐Hsin Lee, Jann‐Yuan Wang and Chu‐Kuang Chou. Their work appears in journals such as Biomedical Chromatography, PLoS ONE, Journal of Pharmaceutical and Biomedical Analysis, Journal of Affective Disorders and General Hospital Psychiatry.

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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