Dae-Ryong Kang

238 papers receiving 4.8k citations

Peers

Dae-Ryong Kang
Comparison fields: 5 of 175
  • Radiological and Ultrasound Technology 293
  • Pulmonary and Respiratory Medicine 809
  • Hepatology 162
  • Health, Toxicology and Mutagenesis 277
  • Oncology 460
Replace Steven Scott Davis Jr. with:
Steven Scott Davis Jr. United States
Gén Kobashi Japan
Saeko Fujiwara Japan
Ada O. Youk United States
Darren R. Brenner Canada
Hideto Takahashi Japan
Adrian K. Dixon United Kingdom
Erin L Moshier United States
Eva Andersson Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Dae-Ryong Kang

Since Specialization
Citations

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

Fields of papers citing papers by Dae-Ryong Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 253 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010162
2 2007147
3 2012146
4 2014126
5 2017125
6 2010122
7 2017117
8 2008114
9 2013112
10 2015105
11 200978
12 202178
13 201376
14 201676
15 201472
16 201662
17 201860
18 200559
19 201455
20 201752

About Dae-Ryong Kang

Dae-Ryong Kang is a scholar working on Radiological and Ultrasound Technology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 253 papers that have together received 4.9k indexed citations. Recurring topics across this work include Radioactivity and Radon Measurements (22 papers), Radiation Dose and Imaging (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Blood Pressure and Hypertension Studies (9 papers), Air Quality and Health Impacts (9 papers), Dementia and Cognitive Impairment Research (8 papers), Bone health and osteoporosis research (8 papers) and Radioactive contamination and transfer (8 papers). The work is most often cited by research in Radiological and Ultrasound Technology (293 citations), Pulmonary and Respiratory Medicine (809 citations), Hepatology (162 citations), Health, Toxicology and Mutagenesis (277 citations) and Oncology (460 citations). Dae-Ryong Kang has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Hyeon Chang Kim, Jang‐Young Kim, Changsoo Kim, Il Woo Suh, Hayon Michelle Choi, Ji Hye Huh, Min Jung Kim, Eun‐Kyung Kim, Chung Mo Nam and Dong-Chun Shin. Their work appears in journals such as Journal of Korean Medical Science, Journal of Clinical Medicine, Scientific Reports, PLoS ONE and International Journal of Environmental Research and Public 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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