Jae‐Eun Jun

557 citations
27 papers · 452 · h-index 13

Impact in

Papers in

Jae‐Eun Jun

25 papers receiving 434 citations

Peers

Jae‐Eun Jun
Comparison fields: 5 of 36
  • Cardiology and Cardiovascular Medicine 244
  • Internal Medicine 14
  • Family Practice 11
  • Surgery 118
  • Health, Toxicology and Mutagenesis 37
Replace Alexis Matteau with:
Alexis Matteau Canada
Pierre‐Frédéric Keller Switzerland
Romana Herscovici Israel
Dritan Poçi Sweden
Maninder Singh United States
Nikhil Nalluri United States
María Luisa Martínez-Guerra Mexico
Monica B. Khot United States
Rita Calé Portugal
Takamichi Miyamoto Japan
Jae‐Eun Jun relative to Alexis Matteau Canada Alexis Matteau's profile →
Citations per field
00.5×10×20×30×37×
Alexis Matteau · 1×
Citations per year

Countries citing papers authored by Jae‐Eun Jun

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Eun Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Eun Jun. 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 Jae‐Eun Jun. The network helps show where Jae‐Eun Jun may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200954
2 201048
3 200644
4 200944
5 201239
6 201134
7 200930
8 200323
9 200617
10 201015
11 201215
12 200914
13 201014
14 201011
15 201010
16 20078
17 20118
18 20125
19 20135
20 20094

About Jae‐Eun Jun

Jae‐Eun Jun is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 27 papers that have together received 452 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (5 papers), Cardiovascular Effects of Exercise (4 papers), Cardiac Imaging and Diagnostics (4 papers), Coronary Interventions and Diagnostics (3 papers), Cardiomyopathy and Myosin Studies (2 papers), Blood Pressure and Hypertension Studies (1 paper), Atrial Fibrillation Management and Outcomes (1 paper) and Healthcare Systems and Public Health (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (244 citations), Internal Medicine (14 citations), Family Practice (11 citations), Surgery (118 citations) and Health, Toxicology and Mutagenesis (37 citations). Jae‐Eun Jun has collaborated with scholars based in South Korea. Frequent co-authors include Yongkeun Cho, Dong Heon Yang, Hun Sik Park, Shung Chull Chae, Wee Hyun Park, Jang Hoon Lee, Myung Hwan Bae, Yongwhi Park, Hyun‐Jae Kang and Shung-Chull Chae. Their work appears in journals such as International Journal of Cardiology, Annals of Noninvasive Electrocardiology, Circulation Journal, Journal of Korean Medical Science and Journal of the American College of Cardiology.

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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