Yoshiyuki Goto

4.1k total citations
56 papers, 2.5k citations indexed

About

Yoshiyuki Goto is a scholar working on Infectious Diseases, Immunology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Yoshiyuki Goto has authored 56 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Infectious Diseases, 21 papers in Immunology and 19 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Yoshiyuki Goto's work include Vector-Borne Animal Diseases (19 papers), Viral Infections and Vectors (13 papers) and Gut microbiota and health (11 papers). Yoshiyuki Goto is often cited by papers focused on Vector-Borne Animal Diseases (19 papers), Viral Infections and Vectors (13 papers) and Gut microbiota and health (11 papers). Yoshiyuki Goto collaborates with scholars based in Japan, United States and France. Yoshiyuki Goto's co-authors include Hiroshi Kiyono, Ivaylo I. Ivanov, Yasuo Miura, Casandra Panea, Yuji Kono, Yosuke Kurashima, Carolyn Lee, Gaku Nakato, Marta Galán-Díez and Satoshi Uematsu and has published in prestigious journals such as Nature Medicine, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Yoshiyuki Goto

55 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoshiyuki Goto Japan 25 973 736 672 369 276 56 2.5k
Ryoji Yamaguchi Japan 31 598 0.6× 403 0.5× 542 0.8× 182 0.5× 965 3.5× 193 3.1k
Yefei Zhu China 34 1.5k 1.5× 238 0.3× 649 1.0× 112 0.3× 459 1.7× 107 3.0k
Zhiwei Wu China 37 1.5k 1.5× 712 1.0× 613 0.9× 110 0.3× 451 1.6× 188 3.5k
Judith M. Ball United States 27 798 0.8× 281 0.4× 1.7k 2.5× 104 0.3× 416 1.5× 50 2.9k
Dong Xia China 32 909 0.9× 293 0.4× 255 0.4× 120 0.3× 437 1.6× 126 2.6k
Anju Bansal India 32 814 0.8× 1.0k 1.4× 685 1.0× 54 0.1× 530 1.9× 107 2.8k
Scott Napper Canada 30 1.2k 1.3× 452 0.6× 247 0.4× 62 0.2× 391 1.4× 105 2.4k
Yves Jacob France 40 1.4k 1.5× 727 1.0× 932 1.4× 145 0.4× 1.1k 3.9× 103 3.9k
Gottfried Pohlentz Germany 29 1.4k 1.5× 283 0.4× 271 0.4× 93 0.3× 334 1.2× 96 2.5k
Meilin Jin China 29 1.1k 1.1× 736 1.0× 875 1.3× 51 0.1× 723 2.6× 113 2.8k

Countries citing papers authored by Yoshiyuki Goto

Since Specialization
Citations

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

Fields of papers citing papers by Yoshiyuki Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshiyuki Goto

This figure shows the co-authorship network connecting the top 25 collaborators of Yoshiyuki Goto. A scholar is included among the top collaborators of Yoshiyuki Goto 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 Yoshiyuki Goto. Yoshiyuki Goto 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.
Matsumura, Takuhiro, Yoshiyuki Goto, Tomoko Kohda, et al.. (2025). Gut mucin fucosylation dictates the entry of botulinum toxin complexes. Nature Communications. 16(1). 10442–10442.
2.
Suzuki, Kotaro, Masaya Yokota, Tetsufumi Ito, et al.. (2024). Eosinophils Contribute to Oral Tolerance via Induction of RORγt-Positive Antigen-Presenting Cells and RORγt-Positive Regulatory T Cells. Biomolecules. 14(1). 89–89. 2 indexed citations
3.
Goto, Yoshiyuki, et al.. (2023). Immunostimulating Commensal Bacteria and Their Potential Use as Therapeutics. International Journal of Molecular Sciences. 24(21). 15644–15644. 8 indexed citations
4.
Nagao‐Kitamoto, Hiroko, Jhansi L. Leslie, Sho Kitamoto, et al.. (2020). Interleukin-22-mediated host glycosylation prevents Clostridioides difficile infection by modulating the metabolic activity of the gut microbiota. Nature Medicine. 26(4). 608–617. 164 indexed citations
5.
Yahiro, Kinnosuke, Kohei Ogura, Yoshiyuki Goto, et al.. (2020). Subtilase cytotoxin induces a novel form of Lipocalin 2, which promotes Shiga-toxigenic Escherichia coli survival. Scientific Reports. 10(1). 18943–18943. 2 indexed citations
6.
Ichikawa, Tomomi, Kiyoshi Hirahara, Kota Kokubo, et al.. (2019). CD103hi Treg cells constrain lung fibrosis induced by CD103lo tissue-resident pathogenic CD4 T cells. Nature Immunology. 20(11). 1469–1480. 97 indexed citations
7.
Goto, Yoshiyuki. (2019). Epithelial Cells as a Transmitter of Signals From Commensal Bacteria and Host Immune Cells. Frontiers in Immunology. 10. 2057–2057. 58 indexed citations
8.
Hirose, Koichi, Tetsufumi Ito, Arifumi Iwata, et al.. (2019). Fucosyltransferase 2 induces lung epithelial fucosylation and exacerbates house dust mite–induced airway inflammation. Journal of Allergy and Clinical Immunology. 144(3). 698–709.e9. 35 indexed citations
9.
Goto, Yoshiyuki, Casandra Panea, Gaku Nakato, et al.. (2014). Segmented Filamentous Bacteria Antigens Presented by Intestinal Dendritic Cells Drive Mucosal Th17 Cell Differentiation. Immunity. 40(4). 594–607. 365 indexed citations
10.
Kunisawa, Jun, Masashi Gohda, Eri Hashimoto, et al.. (2013). Microbe-dependent CD11b+ IgA+ plasma cells mediate robust early-phase intestinal IgA responses in mice. Nature Communications. 4(1). 1772–1772. 51 indexed citations
11.
Goto, Yoshiyuki, Yoshinori Umesaki, Yoshimi Benno, & Hiroshi Kiyono. (2011). Specific comensal bacteria modulate epithelial glycosylaion (59.5). The Journal of Immunology. 186(1_Supplement). 59.5–59.5. 1 indexed citations
12.
Ogawa, Michinaga, Yuko Yoshikawa, T. Kobayashi, et al.. (2011). A Tecpr1-Dependent Selective Autophagy Pathway Targets Bacterial Pathogens. Cell Host & Microbe. 9(5). 376–389. 122 indexed citations
13.
Obata, Takashi, Yoshiyuki Goto, Naoko Shibata, et al.. (2009). Indigenous opportunistic bacteria inhabit mammalian gut-associated lymphoid tissues for mucosal antibody-mediated symbiosis (39.11). The Journal of Immunology. 182(Supplement_1). 39.11–39.11. 1 indexed citations
14.
HARITANI, Makoto, et al.. (2000). Effects of Antigen-Retrieval Pretreatments for Immunohistochemical Detection of Akabane Viral Antigen. Journal of Veterinary Diagnostic Investigation. 12(4). 361–363. 6 indexed citations
15.
Miura, Yasuo, et al.. (1991). Chuzan disease as congenital-hydranencephaly cerebellar hypoplasia syndrome in calves.. Japan Agricultural Research Quarterly JARQ. 25(1). 55–60. 3 indexed citations
16.
Goto, Yoshiyuki, Yasuo Miura, & Yuji Kono. (1991). Hemagglutination and hemagglutination inhibition with Chuzan virus.. Journal of Veterinary Medical Science. 53(1). 29–32. 3 indexed citations
17.
Goto, Yoshiyuki, Yasuo Miura, & Yuji Kono. (1988). A preliminary study for development of an inactivated Chuzan virus vaccine.. The Japanese Journal of Veterinary Science. 50(3). 673–678. 4 indexed citations
19.
Ito, Yoko, et al.. (1979). Electron microscopy of Akabane virus.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 23(3). 198–202. 5 indexed citations
20.
Kurogi, H., Yuji Inaba, Eiji Takahashi, et al.. (1978). Development of inactivated vaccine for Akabane disease.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 18(3-4). 97–108. 25 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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