Guanmin Chen

3.2k citations
74 papers · 2.2k · h-index 22

Impact in

Papers in

Guanmin Chen

69 papers receiving 2.2k citations

Peers

Guanmin Chen
Comparison fields: 5 of 124
  • Internal Medicine 129
  • Cardiology and Cardiovascular Medicine 416
  • Family Practice 29
  • Health Information Management 59
  • Endocrinology, Diabetes and Metabolism 194
Replace Samuel Kingué with:
Samuel Kingué Cameroon
Dimple Kondal India
Shih‐Chieh Shao Taiwan
Virginia Flintoft Canada
Steven M. Bradley United States
Joseph Menzin United States
Samuel Seidu United Kingdom
Michael Karpf United States
Winnie W. Nelson United States
Mehrshad Abbasi Iran
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Citations per field
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Citations per year

Countries citing papers authored by Guanmin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guanmin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009286
2 2011213
3 2012205
4 2010132
5 2009130
6 2014105
7 2019102
8 200592
9 200581
10 201356
11 201754
12 202153
13 200851
14 200541
15 201532
16 201728
17 201827
18 202024
19 201624
20 202122

About Guanmin Chen

Guanmin Chen is a scholar working on Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Surgery, Epidemiology and Oncology, having authored 74 papers that have together received 2.2k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (13 papers), Sodium Intake and Health (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Health Promotion and Cardiovascular Prevention (4 papers), Primary Care and Health Outcomes (3 papers), Cancer survivorship and care (3 papers), Traumatic Ocular and Foreign Body Injuries (2 papers) and Injury Epidemiology and Prevention (2 papers). The work is most often cited by research in Internal Medicine (129 citations), Cardiology and Cardiovascular Medicine (416 citations), Family Practice (29 citations), Health Information Management (59 citations) and Endocrinology, Diabetes and Metabolism (194 citations). Guanmin Chen has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Hude Quan, Brenda R. Hemmelgarn, Robin L. Walker, Norm R.C. Campbell, Finlay A. McAlister, Nadia Khan, William A. Ghali, Huiyun Xiang, Karen Tu and Gary A. Smith. Their work appears in journals such as Canadian Journal of Cardiology, Journal of Clinical Hypertension, BMC Cardiovascular Disorders, BMJ Open 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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