Hiroshi Mitsui

421 total citations
8 papers, 297 citations indexed

About

Hiroshi Mitsui is a scholar working on Immunology, Dermatology and Physiology. According to data from OpenAlex, Hiroshi Mitsui has authored 8 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Dermatology and 3 papers in Physiology. Recurrent topics in Hiroshi Mitsui's work include Psoriasis: Treatment and Pathogenesis (6 papers), Dermatology and Skin Diseases (5 papers) and Asthma and respiratory diseases (3 papers). Hiroshi Mitsui is often cited by papers focused on Psoriasis: Treatment and Pathogenesis (6 papers), Dermatology and Skin Diseases (5 papers) and Asthma and respiratory diseases (3 papers). Hiroshi Mitsui collaborates with scholars based in Japan and United States. Hiroshi Mitsui's co-authors include Yayoi Tada, Hidehisa Saeki, Mayumi Komine, Akihiko Asahina, Kunihiko Tamaki, Koichiro Nakamura, Yuichiro Tsunemi, Hideshi Torii, Tomonori Takekoshi and Noriko Asano and has published in prestigious journals such as Journal of Allergy and Clinical Immunology, Journal of Investigative Dermatology and British Journal of Dermatology.

In The Last Decade

Hiroshi Mitsui

8 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroshi Mitsui Japan 6 199 141 75 57 48 8 297
S. C. Davison United Kingdom 9 178 0.9× 124 0.9× 41 0.5× 40 0.7× 25 0.5× 11 315
Timothy Chang United States 7 180 0.9× 121 0.9× 64 0.9× 42 0.7× 27 0.6× 11 290
Monika Zabłotna Poland 12 228 1.1× 159 1.1× 63 0.8× 65 1.1× 44 0.9× 45 374
R.R.M.C. Keijsers Netherlands 10 291 1.5× 154 1.1× 66 0.9× 56 1.0× 17 0.4× 15 378
Heena Mehta Canada 8 224 1.1× 118 0.8× 53 0.7× 21 0.4× 47 1.0× 14 354
Takeko Ishikawa Japan 11 136 0.7× 164 1.2× 71 0.9× 28 0.5× 70 1.5× 34 373
So Yeon Paek United States 10 188 0.9× 186 1.3× 42 0.6× 48 0.8× 22 0.5× 27 385
Helena Iznardo Spain 10 163 0.8× 131 0.9× 58 0.8× 64 1.1× 14 0.3× 17 297
Maria Teresa Perez Soler Switzerland 6 323 1.6× 246 1.7× 91 1.2× 49 0.9× 207 4.3× 6 507
Koji Ito Japan 8 194 1.0× 33 0.2× 96 1.3× 35 0.6× 102 2.1× 10 331

Countries citing papers authored by Hiroshi Mitsui

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Mitsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hiroshi Mitsui. 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 Hiroshi Mitsui. The network helps show where Hiroshi Mitsui may publish in the future.

Co-authorship network of co-authors of Hiroshi Mitsui

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

All Works

8 of 8 papers shown
1.
Takekoshi, Tomonori, Xuesong Wu, Hiroshi Mitsui, et al.. (2013). CXCR4 Negatively Regulates Keratinocyte Proliferation in IL-23-Mediated Psoriasiform Dermatitis. Journal of Investigative Dermatology. 133(11). 2530–2537. 20 indexed citations
2.
Kamata, Masahiro, Yayoi Tada, Tomoko Kawashima, et al.. (2013). Ciclosporin A inhibits production of interleukin-12/23p40 and interleukin-23 by the human monocyte cell line, THP-1. Clinical and Experimental Dermatology. 38(5). 545–548. 5 indexed citations
3.
Kamata, Masahiro, Yayoi Tada, S. Shibata, et al.. (2012). Serum lipocalin-2 levels are increased in patients with psoriasis. Clinical and Experimental Dermatology. 37(3). 296–299. 48 indexed citations
4.
Komine, Mayumi, Masaru Karakawa, Tomonori Takekoshi, et al.. (2007). Early Inflammatory Changes in the “Perilesional Skin” of Psoriatic Plaques: Is there Interaction between Dendritic Cells and Keratinocytes?. Journal of Investigative Dermatology. 127(8). 1915–1922. 48 indexed citations
5.
Tada, Yayoi, Akihiko Asahina, Tomonori Takekoshi, et al.. (2006). Interleukin 12 production by monocytes from patients with psoriasis and its inhibition by ciclosporin A. British Journal of Dermatology. 154(6). 1180–1183. 19 indexed citations
6.
Mitsui, Hiroshi, et al.. (2003). Chronic Active EB Virus Infection Complicated with IgG3 Subclass Deficiency: An Adult Case Treated with Intravenous Immunoglobulin and IFN-α. Acta Dermato Venereologica. 83(1). 31–35. 2 indexed citations
7.
Kakinuma, Takashi, Hidehisa Saeki, Yuichiro Tsunemi, et al.. (2003). Increased serum cutaneous T cell-attracting chemokine (CCL27) levels in patients with atopic dermatitis and psoriasis vulgaris. Journal of Allergy and Clinical Immunology. 111(3). 592–597. 127 indexed citations
8.
Tsunemi, Yuichiro, Akiko Nishibu, Hidehisa Saeki, et al.. (2003). Lack of Association between the Promoter Polymorphisms at Positions –308 and –238 of the Tumor Necrosis Factor Alpha Gene and Psoriasis vulgaris in Japanese Patients. Dermatology. 207(4). 371–374. 28 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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