Ki‐Bum Won

2.5k citations
55 papers · 800 · h-index 14

Impact in

Papers in

Ki‐Bum Won

50 papers receiving 785 citations

Peers

Ki‐Bum Won
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 204
  • Cardiology and Cardiovascular Medicine 245
  • Radiology, Nuclear Medicine and Imaging 74
  • Clinical Biochemistry 20
  • Epidemiology 85
Replace Ebrahim Barkoudah with:
Ebrahim Barkoudah United States
Zekeriya Küçükdurmaz Türkiye
Tahir Durmaz Türkiye
Bibhu D. Mohanty United States
Knut Haakon Stensæth Norway
Andrew R. MacRae Canada
Melanie Freeman Australia
Bryan Wai United States
Peter Paul van Geel Netherlands
Stylianos Daios Greece
Ki‐Bum Won relative to Ebrahim Barkoudah United States Ebrahim Barkoudah's profile →
Citations per field
00.5×3.2×
Ebrahim Barkoudah · 1×
Citations per year

Countries citing papers authored by Ki‐Bum Won

Since Specialization
Citations

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

Fields of papers citing papers by Ki‐Bum Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020118
2 201991
3 202082
4 201880
5 201836
6 202033
7 201824
8 201923
9 202021
10 201221
11 201320
12 201517
13 201816
14 201615
15 201913
16 201813
17 201412
18 201711
19 201811
20 201410

About Ki‐Bum Won

Ki‐Bum Won is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 55 papers that have together received 800 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (12 papers), Cardiovascular Function and Risk Factors (8 papers), Cardiovascular Disease and Adiposity (5 papers), Acute Myocardial Infarction Research (5 papers), Coronary Interventions and Diagnostics (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (4 papers), Cardiovascular Health and Disease Prevention (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (204 citations), Cardiology and Cardiovascular Medicine (245 citations), Radiology, Nuclear Medicine and Imaging (74 citations), Clinical Biochemistry (20 citations) and Epidemiology (85 citations). Ki‐Bum Won has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Hyuk‐Jae Chang, Donghee Han, Eun Ji Park, Shin‐Jae Kim, Soe Hee Ann, Yong‐Giun Kim, Gyung‐Min Park, In‐Jeong Cho, Su‐Yeon Choi and Jidong Sung. Their work appears in journals such as Scientific Reports, Medicine, PLoS ONE, Journal of Korean Medical Science and Cardiovascular Diabetology.

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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