Dae Hun Suh

4.1k total citations
101 papers, 2.6k citations indexed

About

Dae Hun Suh is a scholar working on Dermatology, Cell Biology and Epidemiology. According to data from OpenAlex, Dae Hun Suh has authored 101 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Dermatology, 23 papers in Cell Biology and 13 papers in Epidemiology. Recurrent topics in Dae Hun Suh's work include Acne and Rosacea Treatments and Effects (50 papers), Dermatology and Skin Diseases (23 papers) and melanin and skin pigmentation (22 papers). Dae Hun Suh is often cited by papers focused on Acne and Rosacea Treatments and Effects (50 papers), Dermatology and Skin Diseases (23 papers) and melanin and skin pigmentation (22 papers). Dae Hun Suh collaborates with scholars based in South Korea, Ethiopia and United States. Dae Hun Suh's co-authors include Hyuck Hoon Kwon, Ji Young Yoon, Seong Uk Min, Dong Hun Lee, Seonguk Min, Mi Young Yoon, Seon Yong Park, Jae Yoon Jung, Yu Sung Choi and Bong‐Jin Hahm and has published in prestigious journals such as Journal of Investigative Dermatology, Journal of the American Academy of Dermatology and British Journal of Dermatology.

In The Last Decade

Dae Hun Suh

98 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dae Hun Suh South Korea 30 1.9k 539 256 246 207 101 2.6k
Lynn A. Drake United States 29 2.2k 1.2× 574 1.1× 145 0.6× 50 0.2× 963 4.7× 58 3.0k
Jerry Tan Canada 39 4.8k 2.4× 1.1k 2.0× 186 0.7× 51 0.2× 716 3.5× 186 5.4k
Alan R. Shalita United States 37 3.8k 2.0× 916 1.7× 168 0.7× 45 0.2× 476 2.3× 108 4.8k
W.J. Cunliffe United Kingdom 29 2.4k 1.2× 461 0.9× 121 0.5× 47 0.2× 420 2.0× 84 3.1k
Mirna Šitum Croatia 24 821 0.4× 240 0.4× 73 0.3× 53 0.2× 385 1.9× 183 2.2k
Nicola Balato Italy 34 1.9k 1.0× 110 0.2× 240 0.9× 86 0.3× 418 2.0× 180 3.6k
Roopal V. Kundu United States 23 1.1k 0.5× 589 1.1× 66 0.3× 28 0.1× 231 1.1× 79 1.8k
Ayşe Serap Karadağ Türkiye 24 1.1k 0.6× 390 0.7× 111 0.4× 25 0.1× 272 1.3× 204 2.2k
Katlein França United States 22 577 0.3× 235 0.4× 49 0.2× 49 0.2× 181 0.9× 101 1.3k
Vivian Y. Shi United States 32 2.3k 1.2× 89 0.2× 100 0.4× 26 0.1× 447 2.2× 250 3.2k

Countries citing papers authored by Dae Hun Suh

Since Specialization
Citations

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

Fields of papers citing papers by Dae Hun Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dae Hun Suh

This figure shows the co-authorship network connecting the top 25 collaborators of Dae Hun Suh. A scholar is included among the top collaborators of Dae Hun Suh 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 Dae Hun Suh. Dae Hun Suh 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.
Cho, Soo Ick, et al.. (2023). Automated Facial Acne Lesion Detecting and Counting Algorithm for Acne Severity Evaluation and Its Utility in Assisting Dermatologists. American Journal of Clinical Dermatology. 24(4). 649–659. 7 indexed citations
2.
Lee, Si‐Hyung, Seong Jin Jo, Youngkyoung Lim, et al.. (2023). The efficacy and safety of low‐ versus high‐fluence fractional picosecond Nd:YAG 1064‐nm laser in the treatment of acne scars: A randomized split‐face comparison study. Photodermatology Photoimmunology & Photomedicine. 40(1). e12922–e12922. 1 indexed citations
3.
Suh, Dae Hun, et al.. (2023). A Case of Hidradenitis Suppurativa in a Genetically Confirmed Lowe Syndrome Patient. Annals of Dermatology. 35(Suppl 2). S314–S314. 1 indexed citations
4.
Yang, Ji Hoon, et al.. (2021). Pilot study of fractional microneedling radiofrequency for hidradenitis suppurativa assessed by clinical response and histology. Clinical and Experimental Dermatology. 47(2). 335–342. 8 indexed citations
5.
Cho, Soo Ick, Ji Hoon Yang, & Dae Hun Suh. (2020). Analysis of trends and status of physician‐based evaluation methods in acne vulgaris from 2000 to 2019. The Journal of Dermatology. 48(1). 42–48. 7 indexed citations
6.
Moon, Jungyoon, Ji Young Yoon, Ji Hoon Yang, et al.. (2019). Atrophic acne scar: a process from altered metabolism of elastic fibres and collagen fibres based on transforming growth factor‐β1 signalling. British Journal of Dermatology. 181(6). 1226–1237. 55 indexed citations
7.
Yang, Ji Hoon, et al.. (2019). Clinical efficacy of herbal extracts in treatment of mild to moderate acne vulgaris: an 8-week, double-blinded, randomized, controlled trial. Journal of Dermatological Treatment. 32(3). 297–301. 18 indexed citations
8.
Cho, Soo Ick, et al.. (2019). Analysis of acne‐related judicial precedents from 1997 to 2018 in South Korea. The Journal of Dermatology. 46(12). 1210–1214. 1 indexed citations
9.
See, Jo‐Ann, et al.. (2018). Optimizing the use of topical retinoids in Asian acne patients. The Journal of Dermatology. 45(5). 522–528. 24 indexed citations
10.
Yang, Ji Hoon, Jungyoon Moon, Young Chul Kye, et al.. (2018). Demographic and clinical features of hidradenitis suppurativa in Korea. The Journal of Dermatology. 45(12). 1389–1395. 41 indexed citations
11.
Yang, Ji Hoon, Ji Young Yoon, Hyuck Hoon Kwon, et al.. (2017). Seeking new acne treatment from natural products, devices and synthetic drug discovery. Dermato-Endocrinology. 9(1). e1356520–e1356520. 11 indexed citations
12.
13.
Kwon, Hyuck Hoon, Ji Young Yoon, Seon Yong Park, et al.. (2015). Activity-Guided Purification Identifies Lupeol, a Pentacyclic Triterpene, As a Therapeutic Agent Multiple Pathogenic Factors of Acne. Journal of Investigative Dermatology. 135(6). 1491–1500. 38 indexed citations
14.
Kwon, Hyuck Hoon, et al.. (2015). The effectiveness of light emitting diodes with 592 nm Yellow Light for Korean Photoaged Skin. Linchuang pifuke zazhi. 53(9). 677–683. 1 indexed citations
15.
Min, Seong Uk, et al.. (2009). A Case of Posttraumatic Ectopic Nail. Linchuang pifuke zazhi. 47(4). 491–493. 2 indexed citations
16.
Jung, Jae Yoon & Dae Hun Suh. (2007). A case of solar urticaria induced by UVA, UVB and visible light. Linchuang pifuke zazhi. 45(11). 1210–1212. 1 indexed citations
17.
Lee, Jong Hee, et al.. (2004). Evaluation of the Outcome of Communication Skill Training Using a Role Play Model in the Dermatological Clerkship. Linchuang pifuke zazhi. 42(11). 1440–1448. 6 indexed citations
18.
Lee, Jin Wook, Sei Jin Chang, Dae Hun Suh, et al.. (2004). The Relapse Rate after 1 Year Treatment with Oral Isotretinoin in Korean Patients with Mild to Moderate Acne. Linchuang pifuke zazhi. 42(6). 675–681. 1 indexed citations
19.
Suh, Dae Hun & Jai Kyoung Koh. (1995). Review Article : Sarcoidosis. Annals of Dermatology. 7(1). 1–28. 6 indexed citations
20.
Suh, Dae Hun, et al.. (1995). A Case of Lofgren' s Syndrome.. Linchuang pifuke zazhi. 33(5). 931–934. 1 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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