Jae‐Kwan Cha

6.0k citations
120 papers · 1.4k · h-index 24

Impact in

Papers in

Jae‐Kwan Cha

107 papers receiving 1.4k citations

Peers

Jae‐Kwan Cha
Comparison fields: 5 of 106
  • Internal Medicine 259
  • Rehabilitation 290
  • Epidemiology 815
  • Neurology 335
  • Cardiology and Cardiovascular Medicine 459
Replace Kevin M. Barrett with:
Kevin M. Barrett United States
Clotilde Balucani United States
Robert Gan Singapore
Vasileios Papavasileiou Greece
Alexander Dyker United Kingdom
Peter Pollak United States
Karl Georg Hæusler Germany
Huey‐Juan Lin Taiwan
Ana Catarina Fonseca Portugal
Jessica Redgrave United Kingdom
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Citations per field
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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 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201675
2 201161
3 200355
4 201054
5 201053
6 201747
7 201544
8 201237
9 200237
10 202034
11 202033
12 200032
13 201731
14 201630
15 201829
16 201429
17 200928
18 200227
19 201826
20 201825

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 120 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (78 papers), Cerebrovascular and Carotid Artery Diseases (32 papers), Stroke Rehabilitation and Recovery (31 papers), Venous Thromboembolism Diagnosis and Management (21 papers), Antiplatelet Therapy and Cardiovascular Diseases (18 papers), Atrial Fibrillation Management and Outcomes (17 papers), Atherosclerosis and Cardiovascular Diseases (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). The work is most often cited by research in Internal Medicine (259 citations), Rehabilitation (290 citations), Epidemiology (815 citations), Neurology (335 citations) and Cardiology and Cardiovascular Medicine (459 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, Journal of Korean Neurosurgical Society and Stroke.

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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