Sun‐Jun Yin

433 citations
27 papers · 345 · h-index 12

Impact in

Papers in

Sun‐Jun Yin

23 papers receiving 335 citations

Peers

Sun‐Jun Yin
Comparison fields: 5 of 76
  • Pathology and Forensic Medicine 99
  • Biochemistry 31
  • Immunology 71
  • Gastroenterology 14
  • Nephrology 13
Replace Atsushi Hokari with:
Atsushi Hokari Japan
Koji Nojima Japan
Veronica De Luca Italy
Shan-Wen Chen China
Antonio Morelli Italy
Jiman He China
Yoshika Takahashi Japan
Xian-Qiang Ni China
Rafael I. Jaén Spain
Ebru Şener Türkiye
Sun‐Jun Yin relative to Atsushi Hokari Japan Atsushi Hokari's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sun‐Jun Yin

Since Specialization
Citations

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

Fields of papers citing papers by Sun‐Jun Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun‐Jun Yin. 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 Sun‐Jun Yin. The network helps show where Sun‐Jun Yin may publish in the future.

Co-authors

The 25 scholars most cited alongside Sun‐Jun Yin, 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 Sun‐Jun Yin Line = papers co-authored together Sun‐Jun Yin 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
Involvement of acetaldehyde for full protection against alcoholism by homozygosity of the variant allele of mitochondrial aldehyde dehydrogenase gene in Asians.
1999112
2 201427
3 201325
4 201519
5 202219
6 202219
7 201417
8
Genotyping of alcohol dehydrogenase at the ADH2 and ADH3 loci by using a polymerase chain reaction and restriction-fragment-length polymorphism in Chinese alcoholic cirrhotics and non-alcoholics.
199415
9 202214
10 202212
11 201912
12 202112
13 20239
14 20247
15 20216
16 20245
17 20224
18 20224
19 20233
20 20251

About Sun‐Jun Yin

Sun‐Jun Yin is a scholar working on Immunology, Cardiology and Cardiovascular Medicine, Nephrology, Molecular Biology and Pathology and Forensic Medicine, having authored 27 papers that have together received 345 indexed citations. Recurring topics across this work include Mast cells and histamine (6 papers), Receptor Mechanisms and Signaling (3 papers), Alcohol Consumption and Health Effects (2 papers), Immune Response and Inflammation (2 papers), Heart Failure Treatment and Management (2 papers), Renin-Angiotensin System Studies (1 paper), Ovarian cancer diagnosis and treatment (1 paper) and Antibiotics Pharmacokinetics and Efficacy (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (99 citations), Biochemistry (31 citations), Immunology (71 citations), Gastroenterology (14 citations) and Nephrology (13 citations). Sun‐Jun Yin has collaborated with scholars based in China and Taiwan. Frequent co-authors include Gong‐Hao He, Tsai‐Kun Li, Ganggang Peng, Tao You Zhou, Wen-Ke Cai, Yanhua Huang, Yuxin Fan, Guili Xu, Guili Xu and Fangfang Jiang. Their work appears in journals such as European Journal of Clinical Pharmacology, Gene, Frontiers in Pharmacology, The Journal of Clinical Pharmacology and PLoS ONE.

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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