Jae‐Kwan Cha

6.2k citations
121 papers · 1.5k · h-index 24

Impact in

Papers in

Jae‐Kwan Cha

112 papers receiving 1.5k citations

Peers

Jae‐Kwan Cha
Comparison fields: 5 of 100
  • Internal Medicine 125
  • Rehabilitation 180
  • Epidemiology 616
  • Cardiology and Cardiovascular Medicine 349
  • Neurology 206
Replace Konark Malhotra with:
Konark Malhotra United States
Elena Meseguer France
Huey‐Juan Lin Taiwan
Alexander Dyker United Kingdom
Bashar Hannawi United States
A. Dávalos Spain
Hui Meng Chang Singapore
Bradley S. Jacobs United States
M.F. Giles United Kingdom
Jae‐Kwan Cha relative to Konark Malhotra United States Konark Malhotra's profile →
Citations per field
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Konark Malhotra · 1×
Citations per year

Countries citing papers authored by Jae‐Kwan Cha

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Kwan Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201680
2 201162
3 200355
4 201055
5 201054
6 201747
7 201544
8 201238
9 200238
10 202035
11 202035
12 200034
13 201431
14 201631
15 201731
16 201829
17 200928
18 200228
19 201827
20 201326

About Jae‐Kwan Cha

Jae‐Kwan Cha is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Rehabilitation and Neurology, having authored 121 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (63 papers), Stroke Rehabilitation and Recovery (15 papers), Cerebrovascular and Carotid Artery Diseases (14 papers), Antiplatelet Therapy and Cardiovascular Diseases (14 papers), Atrial Fibrillation Management and Outcomes (13 papers), Venous Thromboembolism Diagnosis and Management (8 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Medical Imaging and Analysis (4 papers). The work is most often cited by research in Internal Medicine (125 citations), Rehabilitation (180 citations), Epidemiology (616 citations), Cardiology and Cardiovascular Medicine (349 citations) and Neurology (206 citations). Jae‐Kwan Cha has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Dae‐Hyun Kim, Jae‐Taeck Huh, Jae-Hyung Choi, Jae Woo Kim, Hyun‐Wook Nah, Hyun‐Seok Park, Myongjin Kang, Kyung Won Park, Sang‐Myung Cheon and Min‐Ho Jeong. Their work appears in journals such as Journal of Stroke, Journal of Stroke and Cerebrovascular Diseases, Journal of Korean Medical Science, Stroke and Journal of Korean Neurosurgical Society.

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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