Han Kim

63 papers receiving 1.5k citations

Peers

Han Kim
Comparison fields: 5 of 133
  • Otorhinolaryngology 223
  • Critical Care and Intensive Care Medicine 57
  • Radiology, Nuclear Medicine and Imaging 260
  • Cardiology and Cardiovascular Medicine 235
  • Health Informatics 15
Replace Jin Ho Choi with:
Jin Ho Choi South Korea
Sorin Hostiuc Romania
Steven B. Chinn United States
Jan Plzák Czechia
Shaniko Kaleci Italy
Jeffrey Harris Canada
John Huang Taiwan
Marinella Clerico Italy
Katharine A. Price United States
Han Kim relative to Jin Ho Choi South Korea Jin Ho Choi's profile →
Citations per field
00.5×11.4×
Jin Ho Choi · 1×
Citations per year

Countries citing papers authored by Han Kim

Since Specialization
Citations

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

Fields of papers citing papers by Han Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000198
2 2021142
3 1997130
4 200895
5 200386
6 201468
7 201658
8 201352
9 200847
10
The association between tuberous sclerosis and insulinoma.
199546
11 199544
12 201943
13 202235
14 200830
15 201228
16 201527
17 200626
18 201226
19 200826
20 202025

About Han Kim

Han Kim is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Surgery, Cardiology and Cardiovascular Medicine and Oncology, having authored 65 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Head and Neck Cancer Studies (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Cardiovascular Function and Risk Factors (3 papers), Cardiac Imaging and Diagnostics (3 papers), Machine Learning in Healthcare (2 papers) and Pulmonary Hypertension Research and Treatments (2 papers). The work is most often cited by research in Otorhinolaryngology (223 citations), Critical Care and Intensive Care Medicine (57 citations), Radiology, Nuclear Medicine and Imaging (260 citations), Cardiology and Cardiovascular Medicine (235 citations) and Health Informatics (15 citations). Han Kim has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Val J. Lowe, James Boyd, Frank Dunphy, James W. Fletcher, Brendan C. Stack, David S. Martin, Brian T. Collins, Laurie Baksh, Xiaoming Sheng and Marlene J. Egger. Their work appears in journals such as Oncology Reports, The Annals of Thoracic Surgery, Journal of Cardiothoracic and Vascular Anesthesia, Head & Neck and Journal of Food Engineering.

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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