Daehee Kang

31.5k citations
332 papers · 9.7k indexed · h-index 54

Daehee Kang

320 papers receiving 9.4k citations

Peers

Daehee Kang
Comparison fields: 5 of 180
  • Cancer Research 2.1k
  • Oncology 2.2k
  • Health, Toxicology and Mutagenesis 1.0k
  • Genetics 1.7k
  • Pathology and Forensic Medicine 910
Replace Kathy J. Helzlsouer with:
Kathy J. Helzlsouer United States
Xiaoping Miao China
Paola Muti United States
Mary Beth Terry United States
Marilie D. Gammon United States
Jo L. Freudenheim United States
Regina G. Ziegler United States
Domenico Palli Italy
A. Heather Eliassen United States
Anne Zeleniuch‐Jacquotte United States
Daehee Kang relative to Kathy J. Helzlsouer United States Kathy J. Helzlsouer's profile →
Citations per field
00.5×3.1×
Kathy J. Helzlsouer · 1×
Citations per year

Countries citing papers authored by Daehee Kang

Since Specialization
Citations

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

Fields of papers citing papers by Daehee Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20246
2 20240
3 20242
4 20233
5 20232
6 20222
7 202113
8 20213
9 202015
10 201919
11 20198
12 201540
13 201510
14 201216
15 20113
16 201028
17 200941
18 200817
19
Urinary 1-Hydroxypyrene and 2-Naphthol as a Biological Exposure Markers of Total Suspended Particulate in the General Population
20005
20
Lung cancer, chronic obstructive pulmonary disease and air pollution
19971

About Daehee Kang

Daehee Kang is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis, Oncology, Genetics and Public Health, Environmental and Occupational Health, having authored 332 papers that have together received 9.7k indexed citations. Recurring topics across this work include Cancer Risks and Factors (42 papers), Nutritional Studies and Diet (38 papers), Estrogen and related hormone effects (33 papers), Glutathione Transferases and Polymorphisms (32 papers), BRCA gene mutations in cancer (24 papers), Carcinogens and Genotoxicity Assessment (23 papers), Epigenetics and DNA Methylation (20 papers) and Air Quality and Health Impacts (19 papers). The work is most often cited by research in Cancer Research (2.1k citations), Oncology (2.2k citations), Health, Toxicology and Mutagenesis (1.0k citations), Genetics (1.7k citations) and Pathology and Forensic Medicine (910 citations). Daehee Kang has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Sue K. Park, Ji‐Yeob Choi, Aesun Shin, Keun‐Young Yoo, Paul T. Strickland, Jong‐Koo Lee, Dong‐Young Noh, Kyoung-Mu Lee, Wonshik Han and Keun-Young Yoo. Their work appears in journals such as PLoS ONE, Cancer Epidemiology Biomarkers & Prevention, Breast Cancer Research and Treatment, Journal of Korean Medical Science and Cancer Letters.

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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