Wan Kim

1.3k citations
54 papers · 675 · h-index 13

Impact in

Papers in

Wan Kim

48 papers receiving 657 citations

Peers

Wan Kim
Comparison fields: 5 of 90
  • Internal Medicine 48
  • Cardiology and Cardiovascular Medicine 251
  • Surgery 174
  • Molecular Biology 246
  • Radiology, Nuclear Medicine and Imaging 70
Replace Mohamed Koussa with:
Mohamed Koussa France
Young‐Dae Kim South Korea
Bin You China
Yoshinori Mano Japan
Nicolino Esposito Italy
J P Monassier France
Heng Ge China
Weifeng Shen China
A. L. Pasqui Italy
Graeme Weir United Kingdom
Wan Kim relative to Mohamed Koussa France Mohamed Koussa's profile →
Citations per field
00.5×1.5×2.3×
Mohamed Koussa · 1×
Citations per year

Countries citing papers authored by Wan Kim

Since Specialization
Citations

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

Fields of papers citing papers by Wan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009117
2 2009105
3 201449
4 201139
5 200936
6
RNA-cleaving properties of human apurinic/apyrimidinic endonuclease 1 (APE1).
201033
7 200633
8 201129
9 200925
10 195923
11 201022
12 201114
13 201612
14 201410
15 201310
16 20129
17 20119
18 20138
19 20168
20 20226

About Wan Kim

Wan Kim is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 54 papers that have together received 675 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (9 papers), Acute Myocardial Infarction Research (9 papers), Cardiac Imaging and Diagnostics (8 papers), Vascular Procedures and Complications (5 papers), Venous Thromboembolism Diagnosis and Management (5 papers), Peripheral Artery Disease Management (5 papers), Congenital Heart Disease Studies (4 papers) and Coronary Artery Anomalies (4 papers). The work is most often cited by research in Internal Medicine (48 citations), Cardiology and Cardiovascular Medicine (251 citations), Surgery (174 citations), Molecular Biology (246 citations) and Radiology, Nuclear Medicine and Imaging (70 citations). Wan Kim has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Weon Kim, Sun Ho Hwang, Chow H. Lee, Won Yu Kang, Sang Hyun Park, Anil K. Mantha, Takashi Izumi, Sankar Mitra, Myung Ho Jeong and Sang Cheol Cho. Their work appears in journals such as The American Journal of Cardiology, International Journal of Cardiology, Journal of Cardiology, Korean Circulation Journal and IEEE Transactions on Information Theory.

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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