Daehee Kang

323 papers receiving 9.8k citations

Peers

Daehee Kang
Comparison fields: 5 of 179
  • Cancer Research 1.8k
  • Health, Toxicology and Mutagenesis 930
  • Oncology 1.6k
  • Genetics 1.4k
  • Pathology and Forensic Medicine 717
Replace Kathy J. Helzlsouer with:
Kathy J. Helzlsouer United States
Xiaoping Miao China
Mary Beth Terry United States
Paola Muti United States
Marilie D. Gammon United States
Jo L. Freudenheim United States
A. Heather Eliassen United States
Domenico Palli Italy
Regina G. Ziegler United States
Göran Hallmans Sweden
Daehee Kang relative to Kathy J. Helzlsouer United States Kathy J. Helzlsouer's profile →
Citations per field
00.5×3.2×
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-authors

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

Showing the 20 most-cited of 333 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017233
2 2004210
3 2012178
4 2003152
5 1999146
6 2017134
7 2015133
8 2008126
9 1995125
10 2012124
11 1996123
12 2007123
13 2000118
14 2008115
15 2008111
16 2018110
17 2006102
18 200599
19 199495
20 200189

About Daehee Kang

Daehee Kang is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Public Health, Environmental and Occupational Health, having authored 333 papers that have together received 10.1k indexed citations. Recurring topics across this work include Cancer Risks and Factors (33 papers), Glutathione Transferases and Polymorphisms (29 papers), Nutritional Studies and Diet (25 papers), Estrogen and related hormone effects (25 papers), Carcinogens and Genotoxicity Assessment (20 papers), Epigenetics and DNA Methylation (17 papers), BRCA gene mutations in cancer (16 papers) and Air Quality and Health Impacts (15 papers). The work is most often cited by research in Cancer Research (1.8k citations), Health, Toxicology and Mutagenesis (930 citations), Oncology (1.6k citations), Genetics (1.4k citations) and Pathology and Forensic Medicine (717 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, Breast Cancer Research and Treatment, Cancer Epidemiology Biomarkers & Prevention, Journal of Korean Medical Science and Journal of Epidemiology.

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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