Chol Shin

13.9k citations
361 papers · 8.7k · h-index 49

Impact in

Papers in

Chol Shin

345 papers receiving 8.4k citations

Peers

Chol Shin
Comparison fields: 5 of 180
  • Endocrine and Autonomic Systems 1.6k
  • Experimental and Cognitive Psychology 1.7k
  • Physiology 3.0k
  • Cognitive Neuroscience 1.2k
  • Cardiology and Cardiovascular Medicine 1.4k
Replace Vincent Mooser with:
Vincent Mooser Switzerland
David Ray United Kingdom
Harpal Randeva United Kingdom
Shelley S. Tworoger United States
Sarah Appleton Australia
Hendrik Lehnert Germany
M. Koskenvuo Finland
John D. Sorkin United States
Takeshi Tanigawa Japan
Giovanni De Pergola Italy
Chol Shin relative to Vincent Mooser Switzerland Vincent Mooser's profile →
Citations per field
00.5×3.2×
Vincent Mooser · 1×
Citations per year

Countries citing papers authored by Chol Shin

Since Specialization
Citations

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

Fields of papers citing papers by Chol Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 361 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004379
2 2010294
3 2015272
4 2008186
5 2013149
6 2006148
7 2001133
8 2010120
9 2004111
10 200389
11 200689
12 200587
13 201086
14 200986
15 200584
16 200583
17 200481
18 200381
19 201179
20 201677

About Chol Shin

Chol Shin is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Epidemiology and Experimental and Cognitive Psychology, having authored 361 papers that have together received 8.7k indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (70 papers), Sleep and related disorders (47 papers), Sleep and Wakefulness Research (44 papers), Cardiovascular Disease and Adiposity (30 papers), Neuroscience of respiration and sleep (29 papers), Cardiovascular Health and Disease Prevention (23 papers), Nutritional Studies and Diet (22 papers) and Cardiovascular Function and Risk Factors (19 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.6k citations), Experimental and Cognitive Psychology (1.7k citations), Physiology (3.0k citations), Cognitive Neuroscience (1.2k citations) and Cardiology and Cardiovascular Medicine (1.4k citations). Chol Shin has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Inkyung Baik, Seung Ku Lee, Je Hyeong Kim, Hyeryeon Yi, Jinkwan Kim, Chang‐Ho Yun, Sooyeon Suh, Kwang Ho In, Kyung Ho Kang and Kyung‐Rim Shin. Their work appears in journals such as SLEEP, Journal of Sleep Research, PLoS ONE, Journal of Hypertension and Journal of Psychosomatic 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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