Eddy Hsi Chun Wang

1.3k total citations · 1 hit paper
15 papers, 875 citations indexed

About

Eddy Hsi Chun Wang is a scholar working on Urology, Immunology and Dermatology. According to data from OpenAlex, Eddy Hsi Chun Wang has authored 15 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Urology, 9 papers in Immunology and 6 papers in Dermatology. Recurrent topics in Eddy Hsi Chun Wang's work include Hair Growth and Disorders (9 papers), Immune Cell Function and Interaction (7 papers) and Dermatology and Skin Diseases (5 papers). Eddy Hsi Chun Wang is often cited by papers focused on Hair Growth and Disorders (9 papers), Immune Cell Function and Interaction (7 papers) and Dermatology and Skin Diseases (5 papers). Eddy Hsi Chun Wang collaborates with scholars based in United States, Canada and Taiwan. Eddy Hsi Chun Wang's co-authors include Angela M. Christiano, Lauren C. Strazzulla, Lorena Avila, Kristen Lo Sicco, Nooshin K. Brinster, Jerry Shapiro, Wen‐Yen Huang, Sung‐Jan Lin, Chih-Lung Chen and Kang‐Yu Tai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Scientific Reports.

In The Last Decade

Eddy Hsi Chun Wang

14 papers receiving 861 citations

Hit Papers

align trajectories

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.

Alopecia areata

2017 346 citations Lauren C. Strazzulla, Eddy Hsi Chun Wang et al. Journal of the American Academy of Dermatology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eddy Hsi Chun Wang United States	10	662	504	180	161	141	15	875
Eddy Wang Canada	8	799 1.2×	584 1.2×	193 1.1×	139 0.9×	203 1.4×	11	932
Gina M. DeStefano United States	6	481 0.7×	343 0.7×	164 0.9×	180 1.1×	194 1.4×	9	781
Sabine Kissling Germany	11	572 0.9×	350 0.7×	238 1.3×	127 0.8×	72 0.5×	11	667
M.C.G. Winge Sweden	14	203 0.3×	441 0.9×	84 0.5×	136 0.8×	134 1.0×	23	770
Silke Redler Germany	13	349 0.5×	258 0.5×	220 1.2×	75 0.5×	55 0.4×	29	637
Ji Won Oh South Korea	13	297 0.4×	204 0.4×	153 0.8×	48 0.3×	11 0.1×	31	605
Liat Samuelov Israel	15	91 0.1×	202 0.4×	223 1.2×	88 0.5×	92 0.7×	56	624
Gustavo José Leirós Argentina	8	304 0.5×	171 0.3×	104 0.6×	35 0.2×	11 0.1×	11	504
Sibylle Eigelshoven Germany	14	321 0.5×	249 0.5×	258 1.4×	102 0.6×	67 0.5×	28	686
Madeline Weiner United States	16	437 0.7×	287 0.6×	860 4.8×	29 0.2×	446 3.2×	20	1.2k

Countries citing papers authored by Eddy Hsi Chun Wang

Since Specialization

Citations

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

Fields of papers citing papers by Eddy Hsi Chun Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eddy Hsi Chun Wang. 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 Eddy Hsi Chun Wang. The network helps show where Eddy Hsi Chun Wang may publish in the future.

Co-authorship network of co-authors of Eddy Hsi Chun Wang

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

All Works

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15 of 15 papers shown

Dai, Zhenpeng, Yuqian Chang, Eunice Lee, et al.. (2025). Single-cell analysis of temporal immune cell dynamics in alopecia areata reveals a causal role for clonally expanded CD8+ T cells in disease. Cell Reports. 44(7). 115798–115798.

Liu, Xue, Eddy Hsi Chun Wang, I‐Chien Liao, et al.. (2024). Revealing the Therapeutic Potential: Investigating the Impact of a Novel Witch Hazel Formula on Anti‐Inflammation and Antioxidation. Journal of Cosmetic Dermatology. 24(2). e16662–e16662. 3 indexed citations

Guo, Hongwei, et al.. (2024). Increased CRHR1 expression on monocytes from patients with AA enables a pro‐inflammatory response to corticotrophin‐releasing hormone. Experimental Dermatology. 33(10). e15182–e15182. 1 indexed citations

Wang, Eddy Hsi Chun, et al.. (2023). The Development of Human Ex Vivo Models of Inflammatory Skin Conditions. International Journal of Molecular Sciences. 24(24). 17255–17255. 5 indexed citations

Lee, Eunice, et al.. (2023). Functional interrogation of lymphocyte subsets in alopecia areata using single-cell RNA sequencing. Proceedings of the National Academy of Sciences. 120(29). e2305764120–e2305764120. 14 indexed citations

Dai, Zhenpeng, Tanya Sezin, Yuqian Chang, et al.. (2022). Induction of T cell exhaustion by JAK1/3 inhibition in the treatment of alopecia areata. Frontiers in Immunology. 13. 955038–955038. 23 indexed citations

Dai, Zhenpeng, et al.. (2021). Blockade of IL-7 signaling suppresses inflammatory responses and reverses alopecia areata in C3H/HeJ mice. Science Advances. 7(14). 26 indexed citations

Shin, Jung U, Hasan Erbil Abaci, Zongyou Guo, et al.. (2020). Recapitulating T cell infiltration in 3D psoriatic skin models for patient-specific drug testing. Scientific Reports. 10(1). 4123–4123. 43 indexed citations

Chen, Chih-Lung, Wen‐Yen Huang, Eddy Hsi Chun Wang, Kang‐Yu Tai, & Sung‐Jan Lin. (2020). Functional complexity of hair follicle stem cell niche and therapeutic targeting of niche dysfunction for hair regeneration. Journal of Biomedical Science. 27(1). 43–43. 97 indexed citations

10.

Anzai, Alessandra, Eddy Hsi Chun Wang, Eunice Lee, Valéria Aoki, & Angela M. Christiano. (2019). Pathomechanisms of immune-mediated alopecia. International Immunology. 31(7). 439–447. 55 indexed citations

11.

Jalili, Reza B., Ruhangiz T. Kilani, Yunyuan Li, et al.. (2018). Fibroblast cell-based therapy prevents induction of alopecia areata in an experimental model. Cell Transplantation. 27(6). 994–1004. 12 indexed citations

12.

Strazzulla, Lauren C., Eddy Hsi Chun Wang, Lorena Avila, et al.. (2017). Alopecia areata. Journal of the American Academy of Dermatology. 78(1). 1–12. 346 indexed citations breakdown →

13.

Strazzulla, Lauren C., Eddy Hsi Chun Wang, Lorena Avila, et al.. (2017). Alopecia areata. Journal of the American Academy of Dermatology. 78(1). 15–24. 176 indexed citations

14.

Dai, Zhenpeng, Luzhou Xing, Jane Cerise, et al.. (2016). CXCR3 Blockade Inhibits T Cell Migration into the Skin and Prevents Development of Alopecia Areata. The Journal of Immunology. 197(4). 1089–1099. 71 indexed citations

15.

Wang, Eddy, Eddy Hsi Chun Wang, & Kevin J. McElwee. (2014). Induction of Alopecia Areata in C3H/HeJ Mice via Cultured Cell Transfer. Protocol Exchange. 3 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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