Hiroshi Watarai

3.2k total citations
58 papers, 2.5k citations indexed

About

Hiroshi Watarai is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Hiroshi Watarai has authored 58 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Immunology, 13 papers in Oncology and 9 papers in Molecular Biology. Recurrent topics in Hiroshi Watarai's work include Immune Cell Function and Interaction (42 papers), T-cell and B-cell Immunology (33 papers) and Immunotherapy and Immune Responses (9 papers). Hiroshi Watarai is often cited by papers focused on Immune Cell Function and Interaction (42 papers), T-cell and B-cell Immunology (33 papers) and Immunotherapy and Immune Responses (9 papers). Hiroshi Watarai collaborates with scholars based in Japan, United States and United Kingdom. Hiroshi Watarai's co-authors include Masaru Taniguchi, Ryusuke Nakagawa, Yasunori Yamaguchi, Jun Nagafune, Shigehiro Yanagihara, Emiko Komura, Toshinori Nakayama, Chen Dong, Seon Hee Chang and Pornpimon Angkasekwinai 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

Hiroshi Watarai

58 papers receiving 2.5k citations

Peers

Hiroshi Watarai
Joel Tocker United States
Irina Apostolou United States
P E Lipsky United States
Guangming Huang United States
Hiroshi Watarai
Citations per year, relative to Hiroshi Watarai Hiroshi Watarai (= 1×) peers Martin K. Wild

Countries citing papers authored by Hiroshi Watarai

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Watarai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Watarai

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Watarai. A scholar is included among the top collaborators of Hiroshi Watarai 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 Watarai. Hiroshi Watarai 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.
Camara, Kaddy, Kevin S. Hsu, Shingo Kato, et al.. (2023). Lysosomal processing of sulfatide analogs alters target NKT cell specificity and immune responses in cancer. Journal of Clinical Investigation. 134(4). 2 indexed citations
2.
Pisuttimarn, Pornrith, Ploenchan Chetchotisakd, Siriluck Anunnatsiri, et al.. (2022). Invariant Natural Killer T (iNKT) cells response in human melioidosis. Asian Pacific Journal of Allergy and Immunology. 43(3). 719–726. 3 indexed citations
3.
4.
Hiratsuka, Sachie, Takeshi Tomita, Taishi Mishima, et al.. (2018). Hepato‐entrained B220 + CD 11c + NK 1.1 + cells regulate pre‐metastatic niche formation in the lung. EMBO Molecular Medicine. 10(7). 16 indexed citations
5.
Ren, Yue, Megumi Kato‐Itoh, Ayumi Umino, et al.. (2017). A Novel Mouse Model of iNKT Cell-deficiency Generated by CRISPR/Cas9 Reveals a Pathogenic Role of iNKT Cells in Metabolic Disease. Scientific Reports. 7(1). 12765–12765. 13 indexed citations
6.
Satoh, Masashi, Nobuyoshi Kitaichi, Noriko Endo, et al.. (2016). Invariant natural killer T cells play dual roles in the development of experimental autoimmune uveoretinitis. Experimental Eye Research. 153. 79–89. 9 indexed citations
7.
Otsuka, Atsushi, Tetsuya Honda, Akihiko Kitoh, et al.. (2014). Natural Killer T Cells Are Essential for the Development of Contact Hypersensitivity in BALB/c Mice. Journal of Investigative Dermatology. 134(11). 2709–2718. 19 indexed citations
8.
Ren, Yue, Nyambayar Dashtsoodol, Hiroshi Watarai, et al.. (2014). Generation of induced pluripotent stem cell-derived mice by reprogramming of a mature NKT cell. International Immunology. 26(10). 551–561. 6 indexed citations
9.
Shiozaki, Masao, Takuya Tashiro, Hiroyuki Koshino, et al.. (2013). Synthesis of RCAI-172 (C6 epimer of RCAI-147) and its biological activity. Bioorganic & Medicinal Chemistry. 22(2). 827–833. 2 indexed citations
10.
Watarai, Hiroshi, Tomokuni Shigeura, Yasutaka Motomura, et al.. (2012). Development and Function of Invariant Natural Killer T Cells Producing TH2- and TH17-Cytokines. PLoS Biology. 10(2). e1001255–e1001255. 161 indexed citations
11.
Watarai, Hiroshi, Daisuke Yamada, Shin‐ichiro Fujii, Masaru Taniguchi, & Haruhiko Koseki. (2012). Induced pluripotency as a potential path towards iNKT cell-mediated cancer immunotherapy. International Journal of Hematology. 95(6). 624–631. 12 indexed citations
12.
Angkasekwinai, Pornpimon, Seon Hee Chang, Manoj Thapa, Hiroshi Watarai, & Chen Dong. (2010). Regulation of IL-9 expression by IL-25 signaling. Nature Immunology. 11(3). 250–256. 181 indexed citations
13.
Kawamura, Hideki, Ryoichi Yokota, Hiroshi Watarai, et al.. (2010). A sodium hyaluronate carboxymethylcellulose bioresorbable membrane prevents postoperative small-bowel adhesive obstruction after distal gastrectomy. Surgery Today. 40(3). 223–227. 18 indexed citations
14.
Terashima, Asuka, Hiroshi Watarai, Sayo Inoue, et al.. (2008). A novel subset of mouse NKT cells bearing the IL-17 receptor B responds to IL-25 and contributes to airway hyperreactivity. The Journal of Experimental Medicine. 205(12). 2727–2733. 190 indexed citations
15.
Hossain, Mohammad B., Hiroyuki Hosokawa, Akihiro Hasegawa, et al.. (2008). Lymphoid enhancer factor interacts with GATA‐3 and controls its function in T helper type 2 cells. Immunology. 125(3). 377–386. 25 indexed citations
16.
Tashiro, Takuya, Ryusuke Nakagawa, K. Seino, et al.. (2008). RCAI-17, 22, 24–26, 29, 31, 34–36, 38–40, and 88, the analogs of KRN7000 with a sulfonamide linkage: Their synthesis and bioactivity for mouse natural killer T cells to produce Th2-biased cytokines. Bioorganic & Medicinal Chemistry. 16(19). 8896–8906. 23 indexed citations
17.
Harada, Michishige, Hiroshi Watarai, Yuko Nagata, et al.. (2006). IL-21–induced Bε cell apoptosis mediated by natural killer T cells suppresses IgE responses. The Journal of Experimental Medicine. 203(13). 2929–2937. 95 indexed citations
18.
Jiang, Xiaofeng, Takeshi Shimaoka, Satoshi Kojo, et al.. (2005). Cutting Edge: Critical Role of CXCL16/CXCR6 in NKT Cell Trafficking in Allograft Tolerance. The Journal of Immunology. 175(4). 2051–2055. 64 indexed citations
19.
Kojo, Satoshi, K. Seino, Michishige Harada, et al.. (2005). Induction of Regulatory Properties in Dendritic Cells by Vα14 NKT Cells. The Journal of Immunology. 175(6). 3648–3655. 66 indexed citations
20.
Shinohara, Hisaaki, Tomoharu Yasuda, Yuichi Aiba, et al.. (2005). PKCβ regulates BCR-mediated IKK activation by facilitating the interaction between TAK1 and CARMA1. The Journal of Experimental Medicine. 202(10). 1423–1431. 136 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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