C Jin

14 papers receiving 448 citations

Peers

C Jin
Comparison fields: 5 of 91
  • Chemical Health and Safety 21
  • Cancer Research 310
  • Health, Toxicology and Mutagenesis 185
  • Hematology 37
  • Public Health, Environmental and Occupational Health 73
Replace William A. Fishbeck with:
William A. Fishbeck United States
A Yardley-Jones United Kingdom
M Jakab Hungary
Janice B. Cartmill United States
Michela Ballardin Italy
G. M. Matanoski United States
Barbara Biasotti Italy
Tie‐Lan Young United States
Christopher Dickey United States
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C Jin relative to William A. Fishbeck United States William A. Fishbeck's profile →
Citations per field
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William A. Fishbeck · 1×
Citations per year

Countries citing papers authored by C Jin

Since Specialization
Citations

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

Fields of papers citing papers by C Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1987101
2 198986
3 198772
4 198650
5 198848
6 198942
7 199439
8 199334
9 202210
10 20156
11
[Effects of amiodarone versus sotalol in treatment of atrial fibrillation: a random controlled clinical study].
20064
12
Diagnostic host gene signature to accurately distinguish enteric fever from other febrile diseases
20181
13 20221
14 20181

About C Jin

C Jin is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis, Infectious Diseases, Cardiology and Cardiovascular Medicine and Ecology, having authored 14 papers that have together received 495 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (6 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Hepatitis B Virus Studies (1 paper), Heart Rate Variability and Autonomic Control (1 paper), Heart Failure Treatment and Management (1 paper), Viral gastroenteritis research and epidemiology (1 paper) and Indoor Air Quality and Microbial Exposure (1 paper). The work is most often cited by research in Chemical Health and Safety (21 citations), Cancer Research (310 citations), Health, Toxicology and Mutagenesis (185 citations), Hematology (37 citations) and Public Health, Environmental and Occupational Health (73 citations). C Jin has collaborated with scholars based in China, Japan and Austria. Frequent co-authors include S N Yin, Haruo Nakatsuka, Osamu Inoue, Masayuki Ikeda, Zhongxi Fu, Shi‐Xiong Cai, Kazunori Seiji, Takao Watanabe, Felicia F. Tian and Cheng Du. Their work appears in journals such as Occupational and Environmental Medicine, EMBO Molecular Medicine, European Journal of Nuclear Medicine and Molecular Imaging, Environmental Health Perspectives and Environmental Research.

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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