Gee-Hee Kim

38 papers receiving 329 citations

Peers

Gee-Hee Kim
Comparison fields: 5 of 74
  • Cardiology and Cardiovascular Medicine 141
  • Physical Therapy, Sports Therapy and Rehabilitation 24
  • Neurology 32
  • Cognitive Neuroscience 58
  • Orthopedics and Sports Medicine 19
Replace Andrea M. Humm with:
Andrea M. Humm Switzerland
Zhan Wang China
Önder Us Türkiye
Kyle J. Edmunds Iceland
Thomas Zambelis Greece
Silvia Faccioli Italy
Andrew Tarulli United States
H. Piperidou Greece
Martina Grim-Stieger Austria
Manabu Miyazaki Japan
Gee-Hee Kim relative to Andrea M. Humm Switzerland Andrea M. Humm's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gee-Hee Kim

Since Specialization
Citations

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

Fields of papers citing papers by Gee-Hee Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200756
2 201536
3 201735
4 201020
5 201619
6 202217
7 200814
8 201412
9 201711
10 20149
11
[A case of primary hepatic lymphoma mimicking hepatitis].
20059
12
Carotid artery evaluation and coronary calcium score: which is better for the diagnosis and prevention of atherosclerotic cardiovascular disease?
20157
13 20196
14 20226
15 20146
16 20235
17 20215
18 20155
19 20125
20 20205

About Gee-Hee Kim

Gee-Hee Kim is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine, Neurology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 39 papers that have together received 336 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (13 papers), Cardiovascular Health and Disease Prevention (11 papers), Cardiovascular Function and Risk Factors (8 papers), Cardiac Imaging and Diagnostics (5 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Transcranial Magnetic Stimulation Studies (4 papers), Muscle activation and electromyography studies (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (141 citations), Physical Therapy, Sports Therapy and Rehabilitation (24 citations), Neurology (32 citations), Cognitive Neuroscience (58 citations) and Orthopedics and Sports Medicine (19 citations). Gee-Hee Kim has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Ho‐Joong Youn, Shuji Suzuki, Kenro Kanda, Chul-Min Kim, Ki‐Dong Yoo, Keon‐Woong Moon, Saeka Tomatsu, Kazuhiko Seki, Tomohiko Takei and Joachim Confais. Their work appears in journals such as Clinical Interventions in Aging, Clinical and Experimental Hypertension, Frontiers in Cardiovascular Medicine, European Journal of Applied Physiology and Journal of Clinical Medicine.

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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