Daikwon Han

1.7k citations
54 papers · 1.4k · h-index 19

Impact in

Papers in

Daikwon Han

51 papers receiving 1.3k citations

Peers

Daikwon Han
Comparison fields: 5 of 133
  • Health, Toxicology and Mutagenesis 330
  • Transportation 97
  • Health 106
  • Oncology 195
  • Epidemiology 205
Replace Heather M. Strosnider with:
Heather M. Strosnider United States
Carol L. Hanchette United States
Jeannette Jackson‐Thompson United States
Lukasz Aleksandrowicz United Kingdom
Susanna Conti Italy
Cora R. Roelofs United States
Ricardo Ocaña‐Riola Spain
Hannah Jordan United Kingdom
Aakash Shrivastava India
S Wing United States
Daikwon Han relative to Heather M. Strosnider United States Heather M. Strosnider's profile →
Citations per field
00.5×2×3.1×
Heather M. Strosnider · 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 2003191
2 2005160
3 2009133
4 2007126
5 2009113
6 200655
7 201548
8 201738
9 201436
10 200235
11 202133
12 200532
13 200428
14 200527
15 201427
16 201723
17 202123
18 201921
19 201019
20
Part 2. Development of Enhanced Statistical Methods for Assessing Health Effects Associated with an Unknown Number of Major Sources of Multiple Air Pollutants.
201516

About Daikwon Han

Daikwon Han is a scholar working on Health, Toxicology and Mutagenesis, Epidemiology, Oncology, Health and Environmental Chemistry, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (8 papers), Air Quality and Health Impacts (8 papers), Global Cancer Incidence and Screening (6 papers), Cancer Risks and Factors (5 papers), Health, Environment, Cognitive Aging (5 papers), Arsenic contamination and mitigation (4 papers), COVID-19 epidemiological studies (3 papers) and Disaster Response and Management (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (330 citations), Transportation (97 citations), Health (106 citations), Oncology (195 citations) and Epidemiology (205 citations). Daikwon Han has collaborated with scholars based in United States, South Korea and Pakistan. Frequent co-authors include Peter A. Rogerson, Matthew R. Bonner, Jo L. Freudenheim, John E. Vena, Maurizio Trevisan, Paola C. Muti, Jing Nie, Jing Nie, Stephen B. Edge and Scott A Horel. Their work appears in journals such as International Journal of Environmental Research and Public Health, Cancer Causes & Control, Epidemiology, 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.

Explore authors with similar magnitude of impact