Dong Hun Lee

12.1k total citations
401 papers, 8.4k citations indexed

About

Dong Hun Lee is a scholar working on Dermatology, Molecular Biology and Immunology. According to data from OpenAlex, Dong Hun Lee has authored 401 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Dermatology, 85 papers in Molecular Biology and 45 papers in Immunology. Recurrent topics in Dong Hun Lee's work include Skin Protection and Aging (51 papers), Dermatology and Skin Diseases (37 papers) and Dermatologic Treatments and Research (31 papers). Dong Hun Lee is often cited by papers focused on Skin Protection and Aging (51 papers), Dermatology and Skin Diseases (37 papers) and Dermatologic Treatments and Research (31 papers). Dong Hun Lee collaborates with scholars based in South Korea, United States and Ethiopia. Dong Hun Lee's co-authors include Jin Ho Chung, Sang‐Jae Kim, Young-Gun Zo, Jin Tae Hong, Do‐Young Yoon, Dae Hun Suh, Jang-Hee Oh, Soyun Cho, Anjana Rao and Fernando Macián and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Physical review. B, Condensed matter.

In The Last Decade

Dong Hun Lee

364 papers receiving 8.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dong Hun Lee South Korea 48 2.0k 1.9k 1.1k 814 694 401 8.4k
Do Young ‍Kim South Korea 44 1.9k 0.9× 736 0.4× 732 0.7× 399 0.5× 734 1.1× 336 6.7k
Eunyoung Cho United States 57 1.9k 1.0× 1.2k 0.6× 615 0.6× 447 0.5× 1.0k 1.5× 367 10.2k
Sebastiano Gangemi Italy 53 2.4k 1.2× 1.5k 0.8× 2.2k 2.1× 331 0.4× 702 1.0× 466 11.4k
Torello Lotti Italy 48 1.2k 0.6× 4.2k 2.2× 1.9k 1.8× 1.9k 2.3× 1.4k 2.0× 689 10.3k
Wenqing Li China 55 3.7k 1.9× 1.6k 0.8× 2.4k 2.2× 464 0.6× 1.0k 1.4× 377 11.2k
Peter Elsner Germany 58 1.6k 0.8× 8.3k 4.3× 919 0.9× 1.2k 1.5× 1.6k 2.3× 645 15.2k
Joachim W. Fluhr Germany 57 889 0.4× 5.8k 3.0× 552 0.5× 651 0.8× 591 0.9× 241 9.8k
Young Lee South Korea 38 1.5k 0.8× 1.6k 0.8× 534 0.5× 715 0.9× 970 1.4× 284 5.9k
Vera Rogiers Belgium 52 4.8k 2.4× 1.4k 0.7× 333 0.3× 571 0.7× 1.1k 1.6× 381 10.5k
Shuang Zhao China 41 2.1k 1.0× 419 0.2× 863 0.8× 314 0.4× 740 1.1× 474 7.7k

Countries citing papers authored by Dong Hun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Dong Hun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong Hun Lee. 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 Dong Hun Lee. The network helps show where Dong Hun Lee may publish in the future.

Co-authorship network of co-authors of Dong Hun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Hun Lee. A scholar is included among the top collaborators of Dong Hun Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dong Hun Lee. Dong Hun Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Haykal, Diala, Frédéric Flament, David Amar, et al.. (2025). Cosmetogenomics unveiled: a systematic review of AI, genomics, and the future of personalized skincare. Frontiers in Artificial Intelligence. 8. 1660356–1660356.
2.
Kim, Kyung‐Ah, Jinwoo Kim, Dong Hun Lee, et al.. (2024). The protective roles of integrin α4β7 and Amphiregulin-expressing innate lymphoid cells in lupus nephritis. Cellular and Molecular Immunology. 21(7). 723–737. 10 indexed citations
3.
Kim, Eun Ju, et al.. (2024). UV Irradiation Increases Appetite and Prevents Body Weight Gain through the Upregulation of Norepinephrine in Mice. Journal of Investigative Dermatology. 144(10). 2273–2284.e5. 5 indexed citations
4.
Kim, Hee Joo, Chul Hwan Bang, Hye One Kim, et al.. (2021). 2020 Korean Consensus Guidelines for Diagnosis and Treatment of Chronic Hand Eczema. Annals of Dermatology. 33(4). 351–351. 7 indexed citations
5.
Choi, Jee Woong, et al.. (2018). Decreased Galectin-3 and -7 Expressions in Old-Aged Skin and Their Differential Expression in Skin Equivalents. Annals of Dermatology. 30(3). 375–375. 3 indexed citations
6.
Lee, Dong Hun, et al.. (2017). A Pilot Study on the Evaluation of Physicians' Laser Delivery Performance Using a Laser Beam Detection Kit. Photomedicine and Laser Surgery. 35(6). 317–323. 1 indexed citations
7.
Han, Mira, Hee Soon Shin, Soon‐Tae Lee, et al.. (2016). Lycopersicon esculentum Extract Enhances Cognitive Function and Hippocampal Neurogenesis in Aged Mice. Nutrients. 8(11). 679–679. 11 indexed citations
8.
Lee, Dong Hun, et al.. (2016). Development of a Novel Automated Hair Counting System for the Quantitative Evaluation of Laser Hair Removal. Photomedicine and Laser Surgery. 35(2). 116–121. 2 indexed citations
9.
Lee, Dong Hun, et al.. (2015). Comparison of Efficacy Between Novel Robot-Assisted Laser Hair Removal and Physician-Directed Hair Removal. Photomedicine and Laser Surgery. 33(10). 509–516. 8 indexed citations
10.
Park, Sungwoo, et al.. (2015). Improvement in Laser-Irradiation Efficiency of Robot-Assisted Laser Hair Removal Through Pose Measurement of Skin Surface. Photomedicine and Laser Surgery. 34(1). 42–49. 5 indexed citations
11.
Park, Gyeong‐Hun, Sangmin Lee, Chong Hyun Won, et al.. (2014). Red Ginseng Extract Promotes the Hair Growth in Cultured Human Hair Follicles. Journal of Medicinal Food. 18(3). 354–362. 55 indexed citations
12.
Park, Sungwoo, Seungwoo Noh, Dong Hun Lee, et al.. (2014). A Study on the Development of a Robot-Assisted Automatic Laser Hair Removal System. Photomedicine and Laser Surgery. 32(11). 633–641. 11 indexed citations
13.
Jeon, Iksoo, Nayeon Lee, Jiayi Li, et al.. (2012). Neuronal Properties, In Vivo Effects, and Pathology of a Huntington's Disease Patient-Derived Induced Pluripotent Stem Cells. Stem Cells. 30(11). 2602–2602. 6 indexed citations
14.
Choi, Sun Ah, Sung-Kyun Hwang, Ji Hoon Phi, et al.. (2010). Therapeutic efficacy and safety of TRAIL-producing human adipose tissue-derived mesenchymal stem cells against experimental brainstem glioma. Neuro-Oncology. 13(1). 61–69. 80 indexed citations
15.
Hwang, Jong Yun, et al.. (2006). A case of fetal hydrops associated with maternal -D-/-D- phenotype.. Obstetrics & Gynecology Science. 49(6). 1378–1382. 3 indexed citations
16.
Kim, Hyunjung, et al.. (2006). UML-based Modeling and Simulation Method for Mission-Critical Real-Time Embedded System Development.. International Conference on Software Engineering. 160–165. 15 indexed citations
17.
Lee, Dong Hun, et al.. (2005). Qualitative Research Methods based on a Classification of Consumer Needs. Journal of Consumer Studies. 16(2). 57–86.
18.
Lee, Kwan Woo, Hyo Jeong Kim, Dong Hun Lee, et al.. (2002). Impaired Metabolic Signal Transduction Networks in Isolated Skeletal Muscle in Korean type 2 Diabetic Patients.. Endocrinology and Metabolism. 17(5). 685–697. 1 indexed citations
19.
Park, Sang‐Ho, Dong Hun Lee, Kye‐Heon Oh, & Chi-Kyung Kim. (2000). Construction of a Bioluminescent Reporter Using the luc Gene and meta-Cleavage Dioxygenase Promoter for Detection of Catecholic Compounds. The Journal of Microbiology. 38(3). 183–186. 2 indexed citations
20.
Lee, Dong Hun, et al.. (2000). Histologic Changes of Various Artificial Dermis Graft in Rabbit.. 27(5). 550–561. 2 indexed citations

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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