Yasuhito Hamaguchi

9.6k total citations
168 papers, 6.2k citations indexed

About

Yasuhito Hamaguchi is a scholar working on Pathology and Forensic Medicine, Epidemiology and Rheumatology. According to data from OpenAlex, Yasuhito Hamaguchi has authored 168 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Pathology and Forensic Medicine, 76 papers in Epidemiology and 52 papers in Rheumatology. Recurrent topics in Yasuhito Hamaguchi's work include Inflammatory Myopathies and Dermatomyositis (73 papers), Systemic Sclerosis and Related Diseases (72 papers) and Eosinophilic Disorders and Syndromes (32 papers). Yasuhito Hamaguchi is often cited by papers focused on Inflammatory Myopathies and Dermatomyositis (73 papers), Systemic Sclerosis and Related Diseases (72 papers) and Eosinophilic Disorders and Syndromes (32 papers). Yasuhito Hamaguchi collaborates with scholars based in Japan, United States and Vietnam. Yasuhito Hamaguchi's co-authors include Kazuhiko Takehara, Minoru Hasegawa, Thomas F. Tedder, Manabu Fujimoto, Takashi Matsushita, Shinichi Sato, Kazuhiro Komura, Karen M. Haas, Junji Uchida and Jonathan C. Poe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Yasuhito Hamaguchi

159 papers receiving 6.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasuhito Hamaguchi Japan 42 2.6k 2.3k 1.8k 1.3k 921 168 6.2k
Kazuhiro Komura Japan 36 1.3k 0.5× 1.9k 0.8× 1.0k 0.6× 795 0.6× 755 0.8× 79 3.9k
Stamatis‐Nick C. Liossis Greece 34 1.9k 0.7× 1.1k 0.5× 611 0.3× 1.5k 1.2× 286 0.3× 100 4.0k
Masatoshi Jinnin Japan 47 1.3k 0.5× 1.9k 0.9× 791 0.4× 670 0.5× 1.1k 1.2× 234 7.0k
Annegret Kuhn Germany 41 2.8k 1.1× 986 0.4× 462 0.3× 2.8k 2.2× 698 0.8× 136 5.3k
Philippe Dieudé France 37 942 0.4× 1.2k 0.5× 477 0.3× 1.8k 1.4× 256 0.3× 190 4.1k
Ira N. Targoff United States 50 1.8k 0.7× 1.1k 0.5× 6.3k 3.5× 3.5k 2.7× 1.2k 1.3× 111 7.5k
Richard A. Nash United States 48 2.7k 1.0× 1.4k 0.6× 519 0.3× 320 0.2× 233 0.3× 176 7.8k
Koichiro Ohmura Japan 35 1.9k 0.7× 348 0.2× 710 0.4× 1.8k 1.4× 192 0.2× 170 4.3k
John J. Zone United States 41 505 0.2× 2.7k 1.2× 985 0.6× 1.9k 1.5× 580 0.6× 128 5.3k
Grant J. Anhalt United States 51 1.9k 0.7× 7.4k 3.3× 989 0.6× 5.0k 3.9× 838 0.9× 170 11.0k

Countries citing papers authored by Yasuhito Hamaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Yasuhito Hamaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuhito Hamaguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuhito Hamaguchi. A scholar is included among the top collaborators of Yasuhito Hamaguchi 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 Yasuhito Hamaguchi. Yasuhito Hamaguchi 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.
NISHIO, Juntaro, et al.. (2025). Disrupted B‐Cell Cytokine Homeostasis in Psoriasis: The Impact of Elevated IL‐6 and Impaired IL‐10 Production. The Journal of Dermatology. 52(8). 1297–1303. 1 indexed citations
2.
Hamaguchi, Yasuhito, Ikuko Ueda‐Hayakawa, Utako Kaneko, et al.. (2025). Nationwide epidemiological and clinical survey of juvenile‐onset morphea in Japan. The Journal of Dermatology. 52(5). 860–871. 1 indexed citations
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Muto, Atsushi, Yuko Waseda, Seisuke Okazawa, et al.. (2025). Anti-MDA5 antibody-positive interstitial lung disease without prominent skin or muscle manifestations: A high-risk and potentially overlooked subgroup. Respiratory Medicine. 252. 108629–108629.
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Maeda, Shintaro, et al.. (2023). Nail toxicity with nail bed ulceration associated with pembrolizumab. SHILAP Revista de lepidopterología. 6(6). 253–254. 1 indexed citations
8.
Matsushita, Takashi, et al.. (2020). Clinical features of Japanese systemic sclerosis (SSc) patients negative for SSc‐related autoantibodies: A single‐center retrospective study. International Journal of Rheumatic Diseases. 23(9). 1219–1225. 7 indexed citations
9.
Okamura, Ai, Takashi Matsushita, Tadahiro Kobayashi, et al.. (2019). Adipose‐derived stromal/stem cells successfully attenuate the fibrosis of scleroderma mouse models. International Journal of Rheumatic Diseases. 23(2). 216–225. 27 indexed citations
10.
Matsushita, Takashi, et al.. (2019). Elevated serum B‐cell activating factor levels in patients with dermatomyositis: Association with interstitial lung disease. The Journal of Dermatology. 46(12). 1190–1196. 20 indexed citations
11.
Kobayashi, Tadahiro, et al.. (2019). Attenuation of murine sclerodermatous models by the selective S1P1 receptor modulator cenerimod. Scientific Reports. 9(1). 658–658. 15 indexed citations
12.
Shimizu, Kyoko, et al.. (2019). Anti‐transcriptional intermediary factor 1‐γ antibody as a biomarker in patients with dermatomyositis. The Journal of Dermatology. 47(1). 64–68. 18 indexed citations
13.
Matsushita, Takashi, Tadahiro Kobayashi, Ai Okamura, et al.. (2018). BAFF inhibition attenuates fibrosis in scleroderma by modulating the regulatory and effector B cell balance. Science Advances. 4(7). eaas9944–eaas9944. 111 indexed citations
14.
Matsushita, Takashi, et al.. (2018). Increased interleukin‐9 levels in sera, muscle and skin of patients with dermatomyositis. The Journal of Dermatology. 45(8). 1023–1025. 3 indexed citations
15.
Matsushita, Takashi, Le Huu Doanh, Tadahiro Kobayashi, et al.. (2016). A novel splenic B1 regulatory cell subset suppresses allergic disease through phosphatidylinositol 3-kinase–Akt pathway activation. Journal of Allergy and Clinical Immunology. 138(4). 1170–1182.e9. 52 indexed citations
16.
Doanh, Le Huu, Hiroshi Kimura, Yasuhito Hamaguchi, et al.. (2014). Blockade of Syk ameliorates the development of murine sclerodermatous chronic graft-versus-host disease. Journal of Dermatological Science. 74(3). 214–221. 31 indexed citations
17.
Mugii, Naoki, Minoru Hasegawa, Takashi Matsushita, et al.. (2011). Association between nail-fold capillary findings and disease activity in dermatomyositis. Lara D. Veeken. 50(6). 1091–1098. 56 indexed citations
18.
Yanaba, Koichi, Yasuhito Hamaguchi, Guglielmo M. Venturi, et al.. (2007). B Cell Depletion Delays Collagen-Induced Arthritis in Mice: Arthritis Induction Requires Synergy between Humoral and Cell-Mediated Immunity. The Journal of Immunology. 179(2). 1369–1380. 124 indexed citations
19.
Hasegawa, Minoru, Yasuhito Hamaguchi, Koichi Yanaba, et al.. (2006). B-Lymphocyte Depletion Reduces Skin Fibrosis and Autoimmunity in the Tight-Skin Mouse Model for Systemic Sclerosis. American Journal Of Pathology. 169(3). 954–966. 165 indexed citations
20.
Saito, Eriko, Manabu Fujimoto, Minoru Hasegawa, et al.. (2002). CD19-dependent B lymphocyte signaling thresholds influence skin fibrosis and autoimmunity in the tight-skin mouse. Journal of Clinical Investigation. 109(11). 1453–1462. 15 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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