David Suh

3.8k citations
20 papers · 648 · h-index 10

Impact in

Papers in

David Suh

20 papers receiving 626 citations

Peers

David Suh
Comparison fields: 5 of 82
  • Cardiology and Cardiovascular Medicine 266
  • Geriatrics and Gerontology 17
  • Genetics 38
  • Pulmonary and Respiratory Medicine 101
  • Radiology, Nuclear Medicine and Imaging 62
Replace Martin Wagner with:
Martin Wagner Germany
Robert J. Sapsford United Kingdom
Yüksel Çavuşoğlu Türkiye
Anna Mollar Spain
Taylan Akgün Türkiye
Manuel Heras Spain
Enbiya Aksakal Türkiye
Janina Stępińska Poland
Wataru Mitsuma Japan
Andrzej Gackowski Poland
David Suh relative to Martin Wagner Germany Martin Wagner's profile →
Citations per field
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Martin Wagner · 1×
Citations per year

Countries citing papers authored by David Suh

Since Specialization
Citations

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

Fields of papers citing papers by David Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2004346
2 2014119
3 199638
4 201931
5 201827
6 202220
7 202015
8 201811
9 20189
10 20199
11 20177
12 20184
13 20232
14 20182
15 20212
16 20242
17 20241
18 20181
19 20131
20 20241

About David Suh

David Suh is a scholar working on Immunology, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Economics and Econometrics and Pharmacology, having authored 20 papers that have together received 648 indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (3 papers), Cardiac Imaging and Diagnostics (3 papers), Pharmaceutical Practices and Patient Outcomes (2 papers), Biosimilars and Bioanalytical Methods (2 papers), Cardiovascular Function and Risk Factors (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Ultrasound and Hyperthermia Applications (1 paper) and Cardiovascular Effects of Exercise (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (266 citations), Geriatrics and Gerontology (17 citations), Genetics (38 citations), Pulmonary and Respiratory Medicine (101 citations) and Radiology, Nuclear Medicine and Imaging (62 citations). David Suh has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Thomas Walsh, Samer Khouri, George Maly, Dong‐Churl Suh, Michael K. Gould, Karen J. Coleman, Janet Lee, Anny H. Xiang, Huong Q. Nguyen and Dong-Won Kim. Their work appears in journals such as International Journal of Environmental Research and Public Health, Obesity, Patient Preference and Adherence, Journal of the American College of Cardiology and European Journal of Dermatology.

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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