Chengyi Han

1.7k citations
30 papers · 1.1k · h-index 18

Impact in

Papers in

Chengyi Han

29 papers receiving 1.1k citations

Peers

Chengyi Han
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 279
  • Cardiology and Cardiovascular Medicine 206
  • Physiology 196
  • Public Health, Environmental and Occupational Health 180
  • Complementary and alternative medicine 48
Replace Theodore Feldman with:
Theodore Feldman United States
Amir Abbas Momenan Iran
Merja Paturi Finland
MB Snijder Netherlands
Mary A. Hoskin United States
E Turcato Italy
Morgana Mongraw‐Chaffin United States
Mihaela Tănăsescu United States
Jeremiah Stamler United States
Jinyue Yu United Kingdom
Chengyi Han relative to Theodore Feldman United States Theodore Feldman's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chengyi Han

Since Specialization
Citations

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

Fields of papers citing papers by Chengyi Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017210
2 2017203
3 2017123
4 201755
5 201845
6 201744
7 201643
8 201633
9 201632
10 201732
11 201729
12 201727
13 201627
14 202223
15 201621
16 201719
17 201719
18 201618
19 201915
20 202113

About Chengyi Han

Chengyi Han is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Epidemiology and Physiology, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Heart rate and cardiovascular health (5 papers), Obesity, Physical Activity, Diet (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Heart Rate Variability and Autonomic Control (2 papers), Physical Activity and Health (2 papers), Hypothalamic control of reproductive hormones (1 paper) and Gestational Diabetes Research and Management (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (279 citations), Cardiology and Cardiovascular Medicine (206 citations), Physiology (196 citations), Public Health, Environmental and Occupational Health (180 citations) and Complementary and alternative medicine (48 citations). Chengyi Han has collaborated with scholars based in China and Pakistan. Frequent co-authors include Yongcheng Ren, Bingyuan Wang, Yang Zhao, Dongsheng Hu, Junmei Zhou, Xizhuo Sun, Ming Zhang, Jingzhi Zhao, Chongjian Wang and Linlin Li. Their work appears in journals such as Journal of Diabetes, Diabetes/Metabolism Research and Reviews, International Journal of Cardiology, Scientific Reports and Journal of Cardiology.

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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