Ki‐Chul Sung

7.1k citations
199 papers · 3.9k · h-index 34

Impact in

Papers in

Ki‐Chul Sung

190 papers receiving 3.8k citations

Peers

Ki‐Chul Sung
Comparison fields: 5 of 125
  • Nephrology 630
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Cardiology and Cardiovascular Medicine 1.2k
  • Epidemiology 1.5k
  • Hepatology 320
Replace Shih‐Jen Hwang with:
Shih‐Jen Hwang United States
Chang Hee Jung South Korea
Diana Jalal United States
Trond Jenssen Norway
Guido Arcaro Italy
Chiho Iseki Japan
Charles J. Ferro United Kingdom
Roberto Pontremoli Italy
Francesca Viazzi Italy
Tanja B. Grammer Germany
Ki‐Chul Sung relative to Shih‐Jen Hwang United States Shih‐Jen Hwang's profile →
Citations per field
00.5×1.5×2.0×
Shih‐Jen Hwang · 1×
Citations per year

Countries citing papers authored by Ki‐Chul Sung

Since Specialization
Citations

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

Fields of papers citing papers by Ki‐Chul Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ki‐Chul Sung. 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 Ki‐Chul Sung. The network helps show where Ki‐Chul Sung may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 199 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005325
2 2016117
3 2008102
4 2010102
5 202295
6 201677
7 200775
8 200571
9 202069
10 200367
11 201667
12 200665
13 200864
14 200562
15 201558
16 200751
17 200450
18 200950
19 201749
20 201449

About Ki‐Chul Sung

Ki‐Chul Sung is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Epidemiology, Surgery and Physiology, having authored 199 papers that have together received 3.9k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (52 papers), Liver Disease Diagnosis and Treatment (39 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (35 papers), Cardiovascular Health and Disease Prevention (29 papers), Cardiovascular Function and Risk Factors (25 papers), Cardiovascular Disease and Adiposity (21 papers), Heart Rate Variability and Autonomic Control (18 papers) and Adipokines, Inflammation, and Metabolic Diseases (18 papers). The work is most often cited by research in Nephrology (630 citations), Endocrinology, Diabetes and Metabolism (1.3k citations), Cardiology and Cardiovascular Medicine (1.2k citations), Epidemiology (1.5k citations) and Hepatology (320 citations). Ki‐Chul Sung has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Seungho Ryu, Eun‐Jung Rhee, Byung Jin Kim, Christopher D. Byrne, Bum Soo Kim, Jin Ho Kang, Won‐Young Lee, Jang‐Young Kim, Man Ho Lee and Jong‐Young Lee. Their work appears in journals such as Journal of Clinical Medicine, Circulation Journal, Cardiovascular Diabetology, American Journal of Hypertension 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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