Dae‐Hee Han

45 papers receiving 500 citations

Peers

Dae‐Hee Han
Comparison fields: 5 of 88
  • Physiology 168
  • Small Animals 38
  • Epidemiology 108
  • Infectious Diseases 51
  • Microbiology 2
Replace Carmen Arteaga with:
Carmen Arteaga United Kingdom
Jens‐Ulrich Stegmann Belgium
Jin‐Gun Cho Australia
Grazia Caci Italy
Nesrine Saad Farrag Egypt
Gidon Berger Israel
Alessia Fumagalli Italy
João Soares Felício Brazil
ATM Hasibul Hasan Bangladesh
Shalom Patole India
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Citations per field
00.5×3.7×
Carmen Arteaga · 1×
Citations per year

Countries citing papers authored by Dae‐Hee Han

Since Specialization
Citations

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

Fields of papers citing papers by Dae‐Hee Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200370
2 202254
3
Aseptic meningitis after embolization of cerebral aneurysms using hydrogel-coated coils: report of three cases.
200747
4 201946
5 200334
6 200323
7 202521
8 202118
9
Clinical significance of nontuberculous mycobacteria isolated from respiratory specimens.
200316
10 202216
11 202215
12 201014
13 202113
14 202311
15 202211
16 202211
17 201911
18 202310
19 202210
20 20229

About Dae‐Hee Han

Dae‐Hee Han is a scholar working on Physiology, Public Health, Environmental and Occupational Health, Epidemiology, Pharmacology and Pulmonary and Respiratory Medicine, having authored 55 papers that have together received 530 indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (29 papers), Obesity, Physical Activity, Diet (6 papers), Cannabis and Cannabinoid Research (5 papers), Substance Abuse Treatment and Outcomes (4 papers), Behavioral Health and Interventions (3 papers), Mycobacterium research and diagnosis (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper) and Head and Neck Cancer Studies (1 paper). The work is most often cited by research in Physiology (168 citations), Small Animals (38 citations), Epidemiology (108 citations), Infectious Diseases (51 citations) and Microbiology (2 citations). Dae‐Hee Han has collaborated with scholars based in United States, South Korea and Ethiopia. Frequent co-authors include Dong‐Chul Seo, Kyung Soo Lee, Adam M. Leventhal, Chin A Yi, O Jung Kwon, Alyssa F. Harlow, Junhan Cho, Won‐Jung Koh, Tae Sung Kim and Alayna P. Tackett. Their work appears in journals such as Addictive Behaviors, Tobacco Control, Preventive Medicine, PEDIATRICS and Nicotine & Tobacco Research.

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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