Kentaro Sumida

764 total citations
17 papers, 602 citations indexed

About

Kentaro Sumida is a scholar working on Immunology, Oncology and Pharmacology. According to data from OpenAlex, Kentaro Sumida has authored 17 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 11 papers in Oncology and 2 papers in Pharmacology. Recurrent topics in Kentaro Sumida's work include Immunotherapy and Immune Responses (10 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Immune Cell Function and Interaction (7 papers). Kentaro Sumida is often cited by papers focused on Immunotherapy and Immune Responses (10 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Immune Cell Function and Interaction (7 papers). Kentaro Sumida collaborates with scholars based in Japan, Thailand and United States. Kentaro Sumida's co-authors include Hidemitsu Kitamura, Takashi Nishimura, Daiko Wakita, Takayuki Ohkuri, Hiroyoshi Nishikawa, Kenji Chamoto, Satoshi Terada, Yoichiro Iwakura, Yoshinori Narita and Yosuke Ohno and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and The Journal of Immunology.

In The Last Decade

Kentaro Sumida

17 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kentaro Sumida Japan 9 458 295 100 39 26 17 602
Émilie Ronin France 9 304 0.7× 151 0.5× 93 0.9× 39 1.0× 21 0.8× 9 475
Caroline Imbert France 7 268 0.6× 278 0.9× 126 1.3× 39 1.0× 19 0.7× 19 468
Kory L. Alderson United States 12 567 1.2× 408 1.4× 125 1.3× 30 0.8× 11 0.4× 13 762
Judith A. Horvath‐Arcidiacono United States 11 394 0.9× 186 0.6× 120 1.2× 54 1.4× 32 1.2× 14 599
Katarina Mirjačić Martinović Serbia 15 599 1.3× 326 1.1× 115 1.1× 46 1.2× 22 0.8× 29 760
Shamim Ahmad United States 7 236 0.5× 244 0.8× 138 1.4× 24 0.6× 15 0.6× 11 431
David Vasquez-Dunddel United States 2 399 0.9× 238 0.8× 110 1.1× 42 1.1× 17 0.7× 3 483
Jeff Subleski United States 11 474 1.0× 221 0.7× 167 1.7× 123 3.2× 33 1.3× 15 640
Naoshi Kawamura Japan 10 204 0.4× 233 0.8× 156 1.6× 57 1.5× 27 1.0× 12 456
Lijie Yin China 9 270 0.6× 157 0.5× 87 0.9× 31 0.8× 34 1.3× 16 431

Countries citing papers authored by Kentaro Sumida

Since Specialization
Citations

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

Fields of papers citing papers by Kentaro Sumida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kentaro Sumida

This figure shows the co-authorship network connecting the top 25 collaborators of Kentaro Sumida. A scholar is included among the top collaborators of Kentaro Sumida 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 Kentaro Sumida. Kentaro Sumida 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
2.
Ota, Yosuke, Yasuhiro Nagai, Yuko Hirose, et al.. (2023). DSP-0509, a systemically available TLR7 agonist, exhibits combination effect with immune checkpoint blockade by activating anti-tumor immune effects. Frontiers in Immunology. 14. 1055671–1055671. 14 indexed citations
3.
Xu, Yan, Satoshi Ikeda, Kentaro Sumida, et al.. (2019). Thymic Development of a Unique Bone Marrow–Resident Innate-like T Cell Subset with a Potent Innate Immune Function. The Journal of Immunology. 203(1). 167–177. 5 indexed citations
4.
Xu, Yan, et al.. (2018). Sipa1 deficiency unleashes a host-immune mechanism eradicating chronic myelogenous leukemia-initiating cells. Nature Communications. 9(1). 914–914. 9 indexed citations
5.
Ohno, Yosuke, Yujiro Toyoshima, Hideaki Yurino, et al.. (2017). Lack of interleukin‐6 in the tumor microenvironment augments type‐1 immunity and increases the efficacy of cancer immunotherapy. Cancer Science. 108(10). 1959–1966. 59 indexed citations
6.
Ohno, Yosuke, Hidemitsu Kitamura, Norihiko Takahashi, et al.. (2016). IL-6 down-regulates HLA class II expression and IL-12 production of human dendritic cells to impair activation of antigen-specific CD4+ T cells. Cancer Immunology Immunotherapy. 65(2). 193–204. 89 indexed citations
7.
Sumida, Kentaro, Yosuke Ohno, Junya Ohtake, et al.. (2015). IL-11 induces differentiation of myeloid-derived suppressor cells through activation of STAT3 signalling pathway. Scientific Reports. 5(1). 13650–13650. 23 indexed citations
8.
Ohno, Yosuke, Hidemitsu Kitamura, Junya Ohtake, et al.. (2015). IL-6/STAT3 signaling impaired induction of cancer-antigen specific T cells via down-regulation of dendritic cells in tumor microenvironment.. Journal of Clinical Oncology. 33(3_suppl). 590–590. 1 indexed citations
9.
Sumida, Kentaro, et al.. (2014). Abstract 3661: Crucial roles of cytokine-signaling for alteration in functions of myeloid-derived suppressor cells. Cancer Research. 74(19_Supplement). 3661–3661. 2 indexed citations
10.
Kitamura, Hidemitsu, Junya Ohtake, Satoshi Terada, et al.. (2014). Activation of IL-6/STAT3-signaling cascade induces suppression of antigen presentation by human dendritic cells (TUM4P.917). The Journal of Immunology. 192(Supplement_1). 138.18–138.18. 1 indexed citations
11.
Terada, Satoshi, et al.. (2014). IL-17 regulates Toll-like receptor-mediated activation of dendritic cells (TUM4P.905). The Journal of Immunology. 192(Supplement_1). 138.6–138.6. 1 indexed citations
12.
Ono, Yosuke, Kentaro Sumida, Satoshi Terada, et al.. (2014). Abstract 3615: IL-6/STAT3-dependent immunosuppressive function of tumor-infiltrating dendritic cells in colorectal cancer. Cancer Research. 74(19_Supplement). 3615–3615. 1 indexed citations
13.
Narita, Yoshinori, Hidemitsu Kitamura, Daiko Wakita, et al.. (2012). The Key Role of IL-6–Arginase Cascade for Inducing Dendritic Cell–Dependent CD4+ T Cell Dysfunction in Tumor-Bearing Mice. The Journal of Immunology. 190(2). 812–820. 61 indexed citations
14.
Sumida, Kentaro, Daiko Wakita, Yoshinori Narita, et al.. (2012). Anti‐IL‐6 receptor mAb eliminates myeloid‐derived suppressor cells and inhibits tumor growth by enhancing T‐cell responses. European Journal of Immunology. 42(8). 2060–2072. 107 indexed citations
15.
Wakita, Daiko, Kentaro Sumida, Yoichiro Iwakura, et al.. (2010). Tumor‐infiltrating IL‐17‐producing γδ T cells support the progression of tumor by promoting angiogenesis. European Journal of Immunology. 40(7). 1927–1937. 191 indexed citations
16.
Wakita, Daiko, Kenji Chamoto, Takayuki Ohkuri, et al.. (2009). IFN-γ-dependent type 1 immunity is crucial for immunosurveillance against squamous cell carcinoma in a novel mouse carcinogenesis model. Carcinogenesis. 30(8). 1408–1415. 31 indexed citations
17.
Hokama, Y., et al.. (1981). Significant increase of plasma prostaglandins in cancer patients.. PubMed. 31(2). 379–82. 5 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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