Kenji Toyonaga

1.6k total citations · 1 hit paper
17 papers, 1.1k citations indexed

About

Kenji Toyonaga is a scholar working on Immunology, Endocrinology and Surgery. According to data from OpenAlex, Kenji Toyonaga has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 4 papers in Endocrinology and 3 papers in Surgery. Recurrent topics in Kenji Toyonaga's work include Immune Response and Inflammation (7 papers), Immune Cell Function and Interaction (6 papers) and Escherichia coli research studies (4 papers). Kenji Toyonaga is often cited by papers focused on Immune Response and Inflammation (7 papers), Immune Cell Function and Interaction (6 papers) and Escherichia coli research studies (4 papers). Kenji Toyonaga collaborates with scholars based in Japan, Canada and Cuba. Kenji Toyonaga's co-authors include Sho Yamasaki, Yasunobu Yoshikai, Hisakata Yamada, Yasu S. Morita, Osamu Takeuchi, Shizuo Akira, Eri Ishikawa, Taroh Kinoshita, Yasunobu Miyake and Daiki Mori and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Kenji Toyonaga

17 papers receiving 1.1k citations

Hit Papers

Direct recognition of the mycobacterial glycolipid, treha... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenji Toyonaga Japan 9 609 336 331 328 80 17 1.1k
Sri Ramulu Elluru India 12 599 1.0× 434 1.3× 327 1.0× 332 1.0× 66 0.8× 28 1.4k
Rajamouli Pasula United States 18 232 0.4× 256 0.8× 315 1.0× 170 0.5× 56 0.7× 27 798
Andrés Mori United States 7 625 1.0× 174 0.5× 234 0.7× 613 1.9× 49 0.6× 7 1.3k
Robert Blomgran Sweden 17 575 0.9× 429 1.3× 381 1.2× 426 1.3× 138 1.7× 32 1.2k
Danielle Ensergueix France 10 419 0.7× 1.0k 3.0× 864 2.6× 530 1.6× 185 2.3× 12 1.6k
Markus Haug Norway 17 358 0.6× 182 0.5× 234 0.7× 394 1.2× 44 0.6× 31 938
Young Hee Ryu South Korea 11 586 1.0× 90 0.3× 225 0.7× 418 1.3× 48 0.6× 13 1.1k
Luis H. Franco Brazil 13 420 0.7× 355 1.1× 504 1.5× 431 1.3× 58 0.7× 21 1.1k
Sheena A. Linehan United Kingdom 11 489 0.8× 73 0.2× 114 0.3× 256 0.8× 38 0.5× 11 893
Alex Hopke United States 13 306 0.5× 474 1.4× 368 1.1× 229 0.7× 17 0.2× 28 857

Countries citing papers authored by Kenji Toyonaga

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Toyonaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Toyonaga

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

All Works

17 of 17 papers shown
1.
Nagao, Jun-ichi, et al.. (2025). Fungal pathogen-responsive Th17 cells in gut-mouth axis enhance protection against oropharyngeal candidiasis. iScience. 28(6). 112675–112675. 1 indexed citations
2.
Takahashi, Masatomo, et al.. (2023). Efficient lipidomic approach for the discovery of lipid ligands for immune receptors by combining LC-HRMS/MS analysis with fractionation and reporter cell assay. Analytical and Bioanalytical Chemistry. 416(25). 5445–5456. 1 indexed citations
3.
Nagao, Jun-ichi, et al.. (2022). Pathobiont-responsive Th17 cells in gut-mouth axis provoke inflammatory oral disease and are modulated by intestinal microbiome. Cell Reports. 40(10). 111314–111314. 35 indexed citations
4.
Iizasa, Ei’ichi, Takayuki Uematsu, Hiroaki Kawaguchi, et al.. (2021). TREM2 is a receptor for non-glycosylated mycolic acids of mycobacteria that limits anti-mycobacterial macrophage activation. Nature Communications. 12(1). 2299–2299. 55 indexed citations
5.
Nagae, Masamichi, Kenji Toyonaga, Akihiro Imamura, et al.. (2020). Structural insight into the recognition of pathogen-derived phosphoglycolipids by C-type lectin receptor DCAR. Journal of Biological Chemistry. 295(17). 5807–5817. 15 indexed citations
6.
Toyonaga, Kenji & Sho Yamasaki. (2020). Recognition of Mycobacteria by Dendritic Cell Immunoactivating Receptor. Current topics in microbiology and immunology. 429. 103–115. 3 indexed citations
7.
Hirata, Hirohito, Xianghe Xu, Makoto Shiraki, et al.. (2019). IgG immune complexes with Staphylococcus aureus protein A enhance osteoclast differentiation and bone resorption by stimulating Fc receptors and TLR2. International Immunology. 32(2). 89–104. 20 indexed citations
8.
Toyonaga, Kenji, Yasunobu Miyake, & Sho Yamasaki. (2014). Characterization of the Receptors for Mycobacterial Cord Factor in Guinea Pig. PLoS ONE. 9(2). e88747–e88747. 9 indexed citations
9.
Furukawa, Atsushi, Jun Kamishikiryo, Daiki Mori, et al.. (2013). Structural analysis for glycolipid recognition by the C-type lectins Mincle and MCL. Proceedings of the National Academy of Sciences. 110(43). 17438–17443. 127 indexed citations
10.
Miyake, Yasunobu, Kenji Toyonaga, Daiki Mori, et al.. (2013). C-type Lectin MCL Is an FcRγ-Coupled Receptor that Mediates the Adjuvanticity of Mycobacterial Cord Factor. Immunity. 38(5). 1050–1062. 183 indexed citations
11.
Ishikawa, Eri, Yasu S. Morita, Kenji Toyonaga, et al.. (2009). Direct recognition of the mycobacterial glycolipid, trehalose dimycolate, by C-type lectin Mincle. The Journal of Experimental Medicine. 206(13). 2879–2888. 579 indexed citations breakdown →
12.
Otsuji, Yutaka, Akira Kisanuki, Takashi Murayama, et al.. (1993). Influence of left ventricular filling profile during preceding control beats on the occurrence of pulse deficit caused by ventricular premature contractions. European Heart Journal. 14(8). 1044–1049. 5 indexed citations
13.
Kawane, Kohki, et al.. (1978). [A case of recurrent generalized muscle spasms with reduced IgG content in the serum (author's transl)].. PubMed. 18(3). 157–62. 2 indexed citations
14.
McComas, Alan J., R. E. P. Sica, & Kenji Toyonaga. (1978). Incidence, severity, and time-course of motoneurone dysfunction in myotonic dystrophy: their significance for an understanding of anticipation.. Journal of Neurology Neurosurgery & Psychiatry. 41(10). 882–893. 19 indexed citations
15.
Toyonaga, Kenji, et al.. (1978). Motor unit estimation in a muscle supplied by the radial nerve.. Journal of Neurology Neurosurgery & Psychiatry. 41(9). 794–797. 6 indexed citations
16.
Toyonaga, Kenji, et al.. (1978). Electromyographic diagnosis of the carpal tunnel syndrome. Arquivos de Neuro-Psiquiatria. 36(2). 127–134. 3 indexed citations
17.
Toyonaga, Kenji, et al.. (1974). Periodic Lateralized Epileptiform Discharges in Subdural Hematoma: Case-reports and Review of Literature. Clinical Electroencephalography. 5(3). 113–118. 8 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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