Han Kim

3.0k citations
65 papers · 1.5k indexed · h-index 22

Impact in

Papers in

Han Kim

63 papers receiving 1.4k citations

Peers

Han Kim
Comparison fields: 5 of 134
  • Otorhinolaryngology 207
  • Radiology, Nuclear Medicine and Imaging 305
  • Cardiology and Cardiovascular Medicine 292
  • Critical Care and Intensive Care Medicine 66
  • Health Informatics 15
Replace Riccardo Morganti with:
Riccardo Morganti Italy
Jeffrey P. Guenette United States
Yvonne M. Mowery United States
Jin Ho Choi South Korea
Chirag D. Gandhi United States
Shamir Chandarana Canada
John Huang Taiwan
Sorin Hostiuc Romania
Janet R. Williams Australia
Han Kim relative to Riccardo Morganti Italy Riccardo Morganti's profile →
Citations per field
00.5×4.1×
Riccardo Morganti · 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 2000176
2 2021131
3 1997117
4 200890
5 200381
6 201467
7 201657
8 201350
9 199544
10 200844
11
The association between tuberous sclerosis and insulinoma.
199544
12 201940
13 202232
14 200829
15 201228
16 201226
17 200826
18 200626
19 201525
20 202024

About Han Kim

Han Kim is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Epidemiology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (6 papers), Sepsis Diagnosis and Treatment (6 papers), Head and Neck Cancer Studies (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Cardiac Imaging and Diagnostics (3 papers), Glaucoma and retinal disorders (3 papers) and Pulmonary Hypertension Research and Treatments (3 papers). The work is most often cited by research in Otorhinolaryngology (207 citations), Radiology, Nuclear Medicine and Imaging (305 citations), Cardiology and Cardiovascular Medicine (292 citations), Critical Care and Intensive Care Medicine (66 citations) and Health Informatics (15 citations). Han Kim has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Frank Dunphy, James Boyd, Val J. Lowe, Theresa Dunleavy, James W. Fletcher, Brian T. Collins, David S. Martin, Xiaoming Sheng, Brendan C. Stack 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 Scientific Reports.

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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