Youn H. Kim

18.5k total citations · 1 hit paper
188 papers, 8.3k citations indexed

About

Youn H. Kim is a scholar working on Dermatology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Youn H. Kim has authored 188 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 164 papers in Dermatology, 111 papers in Pathology and Forensic Medicine and 67 papers in Oncology. Recurrent topics in Youn H. Kim's work include Cutaneous lymphoproliferative disorders research (163 papers), Lymphoma Diagnosis and Treatment (108 papers) and CAR-T cell therapy research (46 papers). Youn H. Kim is often cited by papers focused on Cutaneous lymphoproliferative disorders research (163 papers), Lymphoma Diagnosis and Treatment (108 papers) and CAR-T cell therapy research (46 papers). Youn H. Kim collaborates with scholars based in United States, United Kingdom and France. Youn H. Kim's co-authors include Richard T. Hoppe, Madeleine Duvic, Elise A. Olsen, Anna Varghese, Sean Whittaker, Serena Mraz‐Gernhard, Sabine Köhler, Timothy M. Kuzel, Sunil Reddy and Ranjana H. Advani and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Youn H. Kim

184 papers receiving 8.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Phase IIB Multicenter Trial of Vorinostat in Patients With Persistent, Progressive, or Treatment Refractory Cutaneous T-Cell Lymphoma

2007 776 citations Elise A. Olsen, Youn H. Kim et al. Journal of Clinical Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Youn H. Kim United States	46	5.2k	4.0k	2.8k	2.6k	2.1k	188	8.3k
Maarten H. Vermeer Netherlands	49	5.1k 1.0×	3.9k 1.0×	2.1k 0.7×	2.4k 0.9×	1.4k 0.7×	189	6.9k
Sean Whittaker United Kingdom	51	7.1k 1.4×	5.0k 1.3×	3.2k 1.1×	3.6k 1.4×	1.8k 0.8×	230	9.7k
Joan Guitart United States	47	3.7k 0.7×	2.2k 0.6×	1.4k 0.5×	2.0k 0.8×	3.0k 1.4×	249	7.1k
L. Laroche France	34	3.0k 0.6×	2.2k 0.5×	1.8k 0.6×	1.6k 0.6×	890 0.4×	88	5.2k
Pablo L. Ortiz‐Romero Spain	31	1.9k 0.4×	1.2k 0.3×	1.0k 0.4×	1.1k 0.4×	1.1k 0.5×	174	4.0k
Nicolás Ortonne France	37	1.5k 0.3×	1.4k 0.3×	606 0.2×	1.1k 0.4×	702 0.3×	203	4.8k
Alfred C. Feller Germany	44	1.1k 0.2×	3.5k 0.9×	2.8k 1.0×	723 0.3×	2.7k 1.3×	167	8.0k
Rosalie Elenitsas United States	37	1.8k 0.4×	781 0.2×	890 0.3×	1.4k 0.5×	2.6k 1.2×	163	4.9k
Giovanna Roncador Spain	38	681 0.1×	2.4k 0.6×	3.1k 1.1×	362 0.1×	2.3k 1.1×	102	6.0k
Rei Watanabe Japan	32	1.4k 0.3×	941 0.2×	2.2k 0.8×	698 0.3×	815 0.4×	123	4.1k

Countries citing papers authored by Youn H. Kim

Since Specialization

Citations

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

Fields of papers citing papers by Youn H. Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Youn H. Kim. 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 Youn H. Kim. The network helps show where Youn H. Kim may publish in the future.

Co-authorship network of co-authors of Youn H. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Youn H. Kim. A scholar is included among the top collaborators of Youn H. Kim 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 Youn H. Kim. Youn H. Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Foss, Francine M., Youn H. Kim, Julia Scarisbrick, et al.. (2025). Insights into treatment of patients with mycosis fungoides or Sézary syndrome using mogamulizumab. Journal of Dermatological Treatment. 36(1). 2438794–2438794. 2 indexed citations

Zain, Jasmine M., Swaminathan P. Iyer, Enrica Marchi, et al.. (2024). Results from the First Phase 1 Clinical Study of DR-01, a Non-Fucosylated Anti-CD94 Targeting Antibody in Patients with Relapsed/Refractory Cytotoxic Lymphomas: Dose Escalation and Optimization. Blood. 144(Supplement 1). 980–980. 3 indexed citations

Quaglino, Pietro, Nicola Pimpinelli, Pier Luigi Zinzani, et al.. (2023). Identifying and addressing unmet clinical needs in primary cutaneous B‐cell lymphoma: A consensus‐based paper from an ad‐hoc international panel. Hematological Oncology. 42(1). e3215–e3215. 1 indexed citations

Narala, Saisindhu, Yonglu Che, Atif Saleem, et al.. (2023). Progression of Mycosis Fungoides After Fingolimod Treatment for Multiple Sclerosis and Targeted Next-Generation Sequencing Demonstrating Potential Links Between the Two Diseases. JCO Precision Oncology. 7(7). e2200501–e2200501.

Tung, Jack K., Michael S. Khodadoust, Youn H. Kim, et al.. (2023). Minimal/Measurable Residual Disease Monitoring in Patients with Lymphoid Neoplasms by High-Throughput Sequencing of the T-Cell Receptor. Journal of Molecular Diagnostics. 25(6). 331–341.

Querfeld, Christiane, Julia Scarisbrick, Chalid Assaf, et al.. (2022). Chlormethine Gel Versus Chlormethine Ointment for Treatment of Patients with Mycosis Fungoides: A Post-Hoc Analysis of Clinical Trial Data. American Journal of Clinical Dermatology. 23(4). 561–570. 3 indexed citations

Rahimy, Elham, Lawrie Skinner, Youn H. Kim, & Richard T. Hoppe. (2021). Technical report: 3D-printed patient-specific scalp shield for hair preservation in total skin electron beam therapy. Technical Innovations & Patient Support in Radiation Oncology. 18. 12–15. 5 indexed citations

Fernandez‐Pol, Sebastian, Erica Wang, Kerri E. Rieger, et al.. (2020). Cutaneous T-cell lymphomas with pathogenic somatic mutations and absence of detectable clonal T-cell receptor gene rearrangement: two case reports. Diagnostic Pathology. 15(1). 122–122. 10 indexed citations

Raghavan, Shyam S., Eric Hong, Youn H. Kim, & Jinah Kim. (2018). Utility of CD30, Ki‐67, and p53 in assisting with the diagnosis of mycosis fungoides with large cell transformation. Journal of Cutaneous Pathology. 46(1). 33–43. 8 indexed citations

10.

Salva, Katrin A., Youn H. Kim, Ziba Rahbar, & Gary S. Wood. (2018). Epigenetically Enhanced PDT Induces Significantly Higher Levels of Multiple Extrinsic Pathway Apoptotic Factors than Standard PDT , Resulting in Greater Extrinsic and Overall Apoptosis of Cutaneous T‐cell Lymphoma. Photochemistry and Photobiology. 94(5). 1058–1065. 10 indexed citations

11.

Guitart, Joan, Maria Estela Martínez‐Escala, Antonio Subtil, et al.. (2017). Primary cutaneous aggressive epidermotropic cytotoxic T-cell lymphomas: reappraisal of a provisional entity in the 2016 WHO classification of cutaneous lymphomas. Modern Pathology. 30(5). 761–772. 59 indexed citations

12.

Rozati, Sima & Youn H. Kim. (2016). Experimental treatment strategies in primary cutaneous T-cell lymphomas. Current Opinion in Oncology. 28(2). 166–171. 3 indexed citations

13.

Qu, Kun, Lisa C. Zaba, Paul G. Giresi, et al.. (2015). Individuality and Variation of Personal Regulomes in Primary Human T Cells. Cell Systems. 1(1). 51–61. 105 indexed citations

14.

Kim, Ellen J., Youn H. Kim, Alain H. Rook, et al.. (2015). Clinically significant responses achieved with romidepsin across disease compartments in patients with cutaneous T-cell lymphoma. Leukemia & lymphoma. 56(10). 2847–2854. 17 indexed citations

15.

Samols, Mark A., Albert Su, Seong Ra, et al.. (2014). Intralymphatic Cutaneous Anaplastic Large Cell Lymphoma/Lymphomatoid Papulosis. The American Journal of Surgical Pathology. 38(9). 1203–1211. 27 indexed citations

16.

Whittaker, Sean, Marie‐France Demierre, Ellen J. Kim, et al.. (2010). Final Results From a Multicenter, International, Pivotal Study of Romidepsin in Refractory Cutaneous T-Cell Lymphoma. Journal of Clinical Oncology. 28(29). 4485–4491. 480 indexed citations

17.

Brody, Joshua, Weiyun Z. Ai, Debra K. Czerwinski, et al.. (2010). In Situ Vaccination With a TLR9 Agonist Induces Systemic Lymphoma Regression: A Phase I/II Study. Journal of Clinical Oncology. 28(28). 4324–4332. 398 indexed citations

18.

Sundram, Uma, Yasodha Natkunam, Sabine Köhler, et al.. (2008). Expression of HGAL in primary cutaneous large B-cell lymphomas: evidence for germinal center derivation of primary cutaneous follicular lymphoma. Modern Pathology. 21(6). 653–659. 9 indexed citations

19.

Olsen, Elise A., Youn H. Kim, Timothy M. Kuzel, et al.. (2007). Phase IIB Multicenter Trial of Vorinostat in Patients With Persistent, Progressive, or Treatment Refractory Cutaneous T-Cell Lymphoma. Journal of Clinical Oncology. 25(21). 3109–3115. 776 indexed citations breakdown →

20.

Cassarino, David S., et al.. (2006). Cutaneous involvement by angioimmunoblastic T‐cell lymphoma: a unique histologic presentation, mimicking an infectious etiology. Journal of Cutaneous Pathology. 33(s2). 6–11. 17 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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