Shih‐Ming Chen

1.1k total citations
48 papers, 833 citations indexed

About

Shih‐Ming Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Nephrology and Pharmacology. According to data from OpenAlex, Shih‐Ming Chen has authored 48 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Nephrology and 9 papers in Pharmacology. Recurrent topics in Shih‐Ming Chen's work include Nephrotoxicity and Medicinal Plants (12 papers), Drug-Induced Hepatotoxicity and Protection (9 papers) and Renal Diseases and Glomerulopathies (5 papers). Shih‐Ming Chen is often cited by papers focused on Nephrotoxicity and Medicinal Plants (12 papers), Drug-Induced Hepatotoxicity and Protection (9 papers) and Renal Diseases and Glomerulopathies (5 papers). Shih‐Ming Chen collaborates with scholars based in Taiwan, Japan and United States. Shih‐Ming Chen's co-authors include Jen‐Ai Lee, Hsiang‐Yin Chen, Ming‐Chia Lee, Ching‐Kuo Lee, Noriko Sato, Shiro Ueda, Nobunori Satoh, Chih‐Hsin Lee, Jann‐Yuan Wang and Masaaki Yoshida and has published in prestigious journals such as PLoS ONE, Scientific Reports and Food Chemistry.

In The Last Decade

Shih‐Ming Chen

45 papers receiving 819 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shih‐Ming Chen Taiwan 18 193 179 179 123 117 48 833
Atilla Bozkurt Türkiye 21 63 0.3× 243 1.4× 420 2.3× 152 1.2× 48 0.4× 94 1.6k
Tony W.L. Mak Hong Kong 25 38 0.2× 263 1.5× 218 1.2× 246 2.0× 137 1.2× 71 1.5k
Yaremi Quirós Spain 11 89 0.5× 211 1.2× 192 1.1× 85 0.7× 314 2.7× 16 1.1k
Shaojun Shi China 15 50 0.3× 272 1.5× 190 1.1× 208 1.7× 22 0.2× 44 1.4k
David Lalka United States 23 50 0.3× 339 1.9× 341 1.9× 230 1.9× 54 0.5× 71 1.8k
Minoru Shimoda Japan 16 35 0.2× 153 0.9× 214 1.2× 48 0.4× 41 0.4× 63 919
Rainer Klauke Germany 14 24 0.1× 201 1.1× 135 0.8× 106 0.9× 73 0.6× 24 1.2k
William H. Barr United States 24 66 0.3× 309 1.7× 233 1.3× 105 0.9× 14 0.1× 60 1.7k
Sara Anees Khan India 16 52 0.3× 149 0.8× 195 1.1× 45 0.4× 52 0.4× 40 909
Chi-Kong Lai Hong Kong 19 110 0.6× 255 1.4× 234 1.3× 16 0.1× 18 0.2× 46 812

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-authorship network of co-authors of Shih‐Ming Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shih‐Ming Chen. A scholar is included among the top collaborators of Shih‐Ming Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shih‐Ming Chen. Shih‐Ming Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Tsai, Pei‐Yun, Shih‐Ming Chen, Chia‐Yu Lin, et al.. (2025). Possible association of statin use with the risk of depression: An up-to-date systematic review and meta-analysis. General Hospital Psychiatry. 97. 118–125.
3.
Peng, Tzu‐Rong, et al.. (2024). Statins as an adjuvant therapy for patients with schizophrenia: An up-to-date systematic review and meta-analysis. General Hospital Psychiatry. 89. 75–83. 5 indexed citations
4.
5.
Chen, Shih‐Ming, et al.. (2023). Noise-induced hearing loss profile among Taiwan Airforce on duty pilots. American Journal of Otolaryngology. 44(3). 103802–103802. 6 indexed citations
6.
Chen, Chien‐Ming, et al.. (2021). Evaluation of the nephrotoxicity and safety of low-dose aristolochic acid, extending to the use of Xixin (Asurum), by determination of methylglyoxal and d-lactate. Journal of Ethnopharmacology. 272. 113945–113945. 3 indexed citations
7.
Lee, Ming‐Chia, Tzu‐Rong Peng, Chih‐Hsin Lee, et al.. (2021). Effects of various statins on depressive symptoms: A network meta-analysis. Journal of Affective Disorders. 293. 205–213. 10 indexed citations
8.
Lee, Jen‐Ai, et al.. (2020). Utilizing methylglyoxal and D-lactate in urine to evaluate saikosaponin C treatment in mice with accelerated nephrotoxic serum nephritis. PLoS ONE. 15(10). e0241053–e0241053. 2 indexed citations
9.
10.
Chen, Shih‐Ming, Chin‐Ling Hsieh, Chia‐Yu Lin, et al.. (2020). Determination of temporal changes in serum and urinary lactate and 3-hydroxybutyrate enantiomers in mice with nephrotoxic serum nephritis by multi-dimensional HPLC. Journal of Pharmaceutical and Biomedical Analysis. 188. 113367–113367. 6 indexed citations
11.
Lee, Ming‐Chia, Chih‐Hsin Lee, Meng‐Rui Lee, Jann‐Yuan Wang, & Shih‐Ming Chen. (2019). Impact of metformin use among tuberculosis close contacts with diabetes mellitus in a nationwide cohort study. BMC Infectious Diseases. 19(1). 936–936. 9 indexed citations
12.
Lee, Ming‐Chia, Chih‐Hsin Lee, Lih‐Yu Chang, et al.. (2019). Association of Metformin Use With End‐Stage Renal Disease in Patients With Type 2 Diabetes Mellitus: A Nationwide Cohort Study Under the Pay‐for‐Performance Program. The Journal of Clinical Pharmacology. 59(11). 1443–1452. 9 indexed citations
13.
Lee, Ming‐Chia, Chen‐Yuan Chiang, Chih‐Hsin Lee, et al.. (2018). Metformin use is associated with a low risk of tuberculosis among newly diagnosed diabetes mellitus patients with normal renal function: A nationwide cohort study with validated diagnostic criteria. PLoS ONE. 13(10). e0205807–e0205807. 33 indexed citations
14.
15.
Chen, Chien‐Ming, et al.. (2015). Development of an enzymatic assay system of d-lactate using d-lactate dehydrogenase and a UV-LED fluorescent spectrometer. Journal of Pharmaceutical and Biomedical Analysis. 116. 150–155. 11 indexed citations
16.
Chen, Shih‐Ming, et al.. (2014). Increased renal semicarbazide-sensitive amine oxidase activity and methylglyoxal levels in aristolochic acid-induced nephrotoxicity. Life Sciences. 114(1). 4–11. 19 indexed citations
17.
Chen, Shih‐Ming, et al.. (2010). Streptococcal collagen-like surface protein 1 promotes adhesion to the respiratory epithelial cell. BMC Microbiology. 10(1). 320–320. 25 indexed citations
18.
Chen, Shih‐Ming, et al.. (2008). Simultaneous detection and quantitation of highly water-soluble herbicides in serum using ion-pair liquid chromatography–tandem mass spectrometry. Journal of Chromatography B. 876(2). 211–218. 64 indexed citations
19.
Hsiao, Fei‐Yuan, Jen‐Ai Lee, Weng-Foung Huang, Shih‐Ming Chen, & Hsiang‐Yin Chen. (2006). Survey of Medication Knowledge and Behaviors Among College Students in Taiwan. American Journal of Pharmaceutical Education. 70(2). 30–30. 48 indexed citations
20.
Chen, Shih‐Ming, et al.. (2002). Induction of Nephrotoxic Serum Nephritis in Inbred Mice and Suppressive Effect of Colchicine on the Development of this Nephritis. Pharmacological Research. 45(4). 319–324. 18 indexed citations

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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