Hee J. Kim

437 total citations
11 papers, 313 citations indexed

About

Hee J. Kim is a scholar working on Dermatology, Immunology and Parasitology. According to data from OpenAlex, Hee J. Kim has authored 11 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Dermatology, 4 papers in Immunology and 3 papers in Parasitology. Recurrent topics in Hee J. Kim's work include Vector-borne infectious diseases (3 papers), Dermatology and Skin Diseases (3 papers) and Viral Infections and Vectors (2 papers). Hee J. Kim is often cited by papers focused on Vector-borne infectious diseases (3 papers), Dermatology and Skin Diseases (3 papers) and Viral Infections and Vectors (2 papers). Hee J. Kim collaborates with scholars based in United States, Italy and South Korea. Hee J. Kim's co-authors include Mark Lebwohl, Jihee Lee Kang, Young Hae Chong, Job E. López, Pete D. Teel, Grace W. Kimmel, Adalberto Á. Pérez de León, Margot Chima, Hannah K. Wilder and Iván Castro-Arellano and has published in prestigious journals such as Journal of Allergy and Clinical Immunology, Journal of the American Academy of Dermatology and Toxicology.

In The Last Decade

Hee J. Kim

11 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hee J. Kim United States 7 137 72 66 65 50 11 313
Min Yan China 10 35 0.3× 101 1.4× 34 0.5× 30 0.5× 58 1.2× 34 362
Yekaterina O. Ostapchuk Kazakhstan 11 155 1.1× 52 0.7× 37 0.6× 7 0.1× 66 1.3× 35 327
Jacqueline F. Jacysyn Brazil 14 103 0.8× 149 2.1× 57 0.9× 20 0.3× 12 0.2× 23 412
Céline Borlon Belgium 12 132 1.0× 184 2.6× 67 1.0× 123 1.9× 13 0.3× 16 597
Kyle Gellatly United States 8 79 0.6× 142 2.0× 21 0.3× 18 0.3× 67 1.3× 11 334
Tsukasa Ugajin Japan 8 272 2.0× 45 0.6× 71 1.1× 83 1.3× 35 0.7× 25 478
Ada Yukht United States 14 239 1.7× 174 2.4× 25 0.4× 47 0.7× 5 0.1× 17 667
Linling Wang China 11 60 0.4× 166 2.3× 66 1.0× 5 0.1× 34 0.7× 33 373
Yifei Yu China 10 93 0.7× 119 1.7× 12 0.2× 34 0.5× 51 1.0× 29 321
Song‐Nan Su Taiwan 15 132 1.0× 133 1.8× 7 0.1× 159 2.4× 22 0.4× 30 759

Countries citing papers authored by Hee J. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hee J. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hee J. Kim

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

All Works

11 of 11 papers shown
1.
Kim, Hee J., Ester Del Duca, Ana B. Pavel, et al.. (2022). Apremilast and narrowband ultraviolet B combination therapy suppresses Th17 axis and promotes melanogenesis in vitiligo skin: a randomized, split-body, pilot study in skin types IV–VI. Archives of Dermatological Research. 315(2). 215–221. 10 indexed citations
2.
Kneubehl, Alexander R., Sarah M. Gunter, Hee J. Kim, et al.. (2021). Diversity and distribution of the tick-borne relapsing fever spirochete Borrelia turicatae. PLoS neglected tropical diseases. 15(11). e0009868–e0009868. 8 indexed citations
3.
Kim, Hee J., Gabriel L. Hamer, Sarah A. Hamer, Job E. López, & Pete D. Teel. (2021). Identification of Host Bloodmeal Source in Ornithodoros turicata Dugès (Ixodida: Argasidae) Using DNA-Based and Stable Isotope-Based Techniques. Frontiers in Veterinary Science. 8. 620441–620441. 4 indexed citations
4.
5.
Hashim, Peter W., Margot Chima, Hee J. Kim, et al.. (2019). Crisaborole 2% ointment for the treatment of intertriginous, anogenital, and facial psoriasis: A double-blind, randomized, vehicle-controlled trial. Journal of the American Academy of Dermatology. 82(2). 360–365. 35 indexed citations
6.
John, Ann, et al.. (2019). Fine and Benign, Until It Becomes Malignant: The Enigmatic Keratoacanthoma.. PubMed. 15(3). 205–206. 1 indexed citations
7.
Kim, Hee J. & Mark Lebwohl. (2018). Biologics and Psoriasis. Dermatologic Clinics. 37(1). 29–36. 37 indexed citations
8.
Czarnowicki, Tali, Helen He, Alexandra Leonard, et al.. (2018). Blood endotyping distinguishes the profile of vitiligo from that of other inflammatory and autoimmune skin diseases. Journal of Allergy and Clinical Immunology. 143(6). 2095–2107. 51 indexed citations
9.
Altschuler, Eric Lewin, et al.. (2017). An unexplained three-dimensional percept emerging from a bundle of lines. Attention Perception & Psychophysics. 79(7). 2108–2116. 2 indexed citations
10.
León, Adalberto Á. Pérez de, Andrew Li, Iván Castro-Arellano, et al.. (2016). Assessment of the Geographic Distribution of Ornithodoros turicata (Argasidae): Climate Variation and Host Diversity. PLoS neglected tropical diseases. 10(2). e0004383–e0004383. 63 indexed citations
11.

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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