Mayuki Watanabe

484 total citations
8 papers, 332 citations indexed

About

Mayuki Watanabe is a scholar working on Immunology, Immunology and Allergy and Surgery. According to data from OpenAlex, Mayuki Watanabe has authored 8 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 2 papers in Immunology and Allergy and 1 paper in Surgery. Recurrent topics in Mayuki Watanabe's work include Immune Cell Function and Interaction (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). Mayuki Watanabe is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). Mayuki Watanabe collaborates with scholars based in Japan, Canada and Germany. Mayuki Watanabe's co-authors include Yoshinori Fukui, Yoshihiko Tanaka, Fumiyuki Sanematsu, Takehito Uruno, Akihiko Nishikimi, Toyoshi Yanagihara, Kirsty Brown, Kathy D. McCoy, Jean‐François Côté and Masaki Honda and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Blood.

In The Last Decade

Mayuki Watanabe

8 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mayuki Watanabe Japan	7	156	115	45	44	43	8	332
Shunsuke Kanada Japan	11	284 1.8×	88 0.8×	75 1.7×	19 0.4×	70 1.6×	16	397
Ashley M. Mahler United States	7	142 0.9×	110 1.0×	110 2.4×	31 0.7×	87 2.0×	8	380
Hui Cheng China	13	256 1.6×	83 0.7×	33 0.7×	42 1.0×	63 1.5×	32	411
Vu Quang Van Canada	12	370 2.4×	90 0.8×	47 1.0×	32 0.7×	124 2.9×	12	471
Grace I. Wells United States	7	296 1.9×	130 1.1×	30 0.7×	17 0.4×	39 0.9×	8	451
Imke Meyer Germany	9	67 0.4×	126 1.1×	41 0.9×	28 0.6×	19 0.4×	18	400
Günther Bode Germany	7	115 0.7×	234 2.0×	25 0.6×	10 0.2×	32 0.7×	7	359
Wonyong Lee South Korea	11	361 2.3×	173 1.5×	15 0.3×	38 0.9×	52 1.2×	18	551
Richard Herrscher United States	4	74 0.5×	213 1.9×	17 0.4×	39 0.9×	37 0.9×	8	322
Masahiro Koba Japan	4	227 1.5×	115 1.0×	15 0.3×	20 0.5×	27 0.6×	7	380

Countries citing papers authored by Mayuki Watanabe

Since Specialization

Citations

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

Fields of papers citing papers by Mayuki Watanabe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayuki Watanabe

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

All Works

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8 of 8 papers shown

1.

Watanabe, Mayuki, et al.. (2020). DOCK8 controls survival of group 3 innate lymphoid cells in the gut through Cdc42 activation. International Immunology. 33(3). 149–160. 5 indexed citations

2.

Honda, Masaki, Bas G. J. Surewaard, Mayuki Watanabe, et al.. (2020). Perivascular localization of macrophages in the intestinal mucosa is regulated by Nr4a1 and the microbiome. Nature Communications. 11(1). 1329–1329. 80 indexed citations

3.

Uruno, Takehito, Yuki Sugiura, Kazuhiko Yamamura, et al.. (2018). Cholesterol sulfate is a DOCK2 inhibitor that mediates tissue-specific immune evasion in the eye. Science Signaling. 11(541). 32 indexed citations

4.

Yamamura, Kazuhiko, Takehito Uruno, Akira Shiraishi, et al.. (2017). The transcription factor EPAS1 links DOCK8 deficiency to atopic skin inflammation via IL-31 induction. Nature Communications. 8(1). 13946–13946. 63 indexed citations

5.

Yanagihara, Toyoshi, Fumiyuki Sanematsu, Tetsuya Sato, et al.. (2015). Intronic regulation of Aire expression by Jmjd6 for self-tolerance induction in the thymus. Nature Communications. 6(1). 8820–8820. 31 indexed citations

6.

Watanabe, Mayuki, Masao Terasawa, Kei Miyano, et al.. (2014). DOCK2 and DOCK5 Act Additively in Neutrophils To Regulate Chemotaxis, Superoxide Production, and Extracellular Trap Formation. The Journal of Immunology. 193(11). 5660–5667. 47 indexed citations

7.

Sanematsu, Fumiyuki, Akihiko Nishikimi, Mayuki Watanabe, et al.. (2013). Phosphatidic Acid-dependent Recruitment and Function of the Rac Activator DOCK1 during Dorsal Ruffle Formation. Journal of Biological Chemistry. 288(12). 8092–8100. 40 indexed citations

8.

Sakai, Yusuke, Yoshihiko Tanaka, Toyoshi Yanagihara, et al.. (2013). The Rac activator DOCK2 regulates natural killer cell–mediated cytotoxicity in mice through the lytic synapse formation. Blood. 122(3). 386–393. 34 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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