Daikwon Han

1.6k citations
54 papers · 1.3k · h-index 19

Impact in

Papers in

Daikwon Han

52 papers receiving 1.2k citations

Peers

Daikwon Han
Comparison fields: 5 of 133
  • Health, Toxicology and Mutagenesis 392
  • Health 154
  • Transportation 118
  • Oncology 278
  • General Health Professions 181
Replace Jeannette Jackson‐Thompson with:
Jeannette Jackson‐Thompson United States
Mingjuan Jin China
Pedro Gullón Spain
Antonio Azara Italy
Takaichiro Suzuki Japan
Preet K. Dhillon India
W. Jay Christian United States
Virginia Lope Spain
Anna Chu Canada
Linda Williams Pickle United States
Daikwon Han relative to Jeannette Jackson‐Thompson United States Jeannette Jackson‐Thompson's profile →
Citations per field
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Jeannette Jackson‐Thompson · 1×
Citations per year

Countries citing papers authored by Daikwon Han

Since Specialization
Citations

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

Fields of papers citing papers by Daikwon Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003177
2 2005141
3 2009130
4 2007115
5 2009108
6 200650
7 201543
8 200234
9 201734
10 201432
11 200529
12 200526
13 202125
14 201425
15 200425
16 201722
17 201920
18 202120
19 201019
20 201315

About Daikwon Han

Daikwon Han is a scholar working on Health, Toxicology and Mutagenesis, Oncology, Epidemiology, Health and Sociology and Political Science, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (10 papers), Air Quality and Health Impacts (10 papers), Global Cancer Incidence and Screening (10 papers), Health disparities and outcomes (8 papers), Cancer Risks and Factors (8 papers), Health, Environment, Cognitive Aging (7 papers), Urban Transport and Accessibility (5 papers) and Arsenic contamination and mitigation (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (392 citations), Health (154 citations), Transportation (118 citations), Oncology (278 citations) and General Health Professions (181 citations). Daikwon Han has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Peter A. Rogerson, Matthew R. Bonner, Jo L. Freudenheim, John E. Vena, Maurizio Trevisan, Paola Muti, Jing Nie, Jing Nie, Scott Horel and John C. Huber. Their work appears in journals such as International Journal of Environmental Research and Public Health, Epidemiology, Cancer Causes & Control, International Journal of Health Geographics and Geospatial health.

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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