Yuya Yoshimoto

3.1k total citations · 1 hit paper
62 papers, 2.4k citations indexed

About

Yuya Yoshimoto is a scholar working on Oncology, Immunology and Organic Chemistry. According to data from OpenAlex, Yuya Yoshimoto has authored 62 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 20 papers in Immunology and 13 papers in Organic Chemistry. Recurrent topics in Yuya Yoshimoto's work include Cancer Immunotherapy and Biomarkers (18 papers), Immune Cell Function and Interaction (12 papers) and Immunotherapy and Immune Responses (10 papers). Yuya Yoshimoto is often cited by papers focused on Cancer Immunotherapy and Biomarkers (18 papers), Immune Cell Function and Interaction (12 papers) and Immunotherapy and Immune Responses (10 papers). Yuya Yoshimoto collaborates with scholars based in Japan, Singapore and Sweden. Yuya Yoshimoto's co-authors include Masaharu Nakamura, Takuji Hatakeyama, Koji Kono, Takahiro Oike, Hiro Sato, Yoshiyuki Suzuki, Yoshiyuki Suzuki, Takashi Nakano, Atsushi Shibata and Atsuko Niimi and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Yuya Yoshimoto

58 papers receiving 2.3k citations

Hit Papers

DNA double-strand break repair pathway regulates PD-L1 ex... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers

Yuya Yoshimoto
Pingda Ren United States
Izabela Podgorski United States
Uma Yasothan United States
C. Michael Lin United States
Melanie Valenti United Kingdom
LR Kelland United Kingdom
Pingda Ren United States
Yuya Yoshimoto
Citations per year, relative to Yuya Yoshimoto Yuya Yoshimoto (= 1×) peers Pingda Ren

Countries citing papers authored by Yuya Yoshimoto

Since Specialization
Citations

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

Fields of papers citing papers by Yuya Yoshimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuya Yoshimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Yuya Yoshimoto. A scholar is included among the top collaborators of Yuya Yoshimoto 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 Yuya Yoshimoto. Yuya Yoshimoto 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.
Yoshimoto, Yuya, et al.. (2023). Supramolecular chiral emergence in water even after compensating for helix chirality in vesicular helix-peptide-aromatic frameworks. Polymer Journal. 55(8). 877–883. 1 indexed citations
2.
Miyasaka, Yuhei, Yuya Yoshimoto, Ken Ando, et al.. (2023). CD8-positive Tumor-infiltrating Lymphocytes and Prognosis in Radiotherapy for Uterine Cervical Squamous Cell Carcinoma. Anticancer Research. 43(5). 2077–2084.
3.
Mimura, Kosaku, Yohei Watanabe, Yuya Yoshimoto, et al.. (2023). Anti‐PD‐1 monoclonal antibody‐resistant esophageal squamous cell carcinoma showing the abscopal effect: A case report with T‐cell receptor/B‐cell receptor repertoire analysis. Cancer Reports. 6(7). e1832–e1832. 3 indexed citations
4.
Tamaki, Tomoaki, Kosaku Mimura, Katsuharu Saito, et al.. (2023). Immunological Responses Associated With Neoadjuvant Therapy in the Tumor Microenvironment of Esophageal Squamous Cell Carcinoma. Anticancer Research. 43(10). 4691–4700.
5.
Yoshimoto, Yuya, Takahiro Oike, Ken Ando, et al.. (2021). Mutation Analysis of Radioresistant Early-Stage Cervical Cancer. International Journal of Molecular Sciences. 23(1). 51–51. 9 indexed citations
6.
Yoshimoto, Yuya, Yasushi Sasaki, Kazutoshi Murata, et al.. (2020). Mutation profiling of uterine cervical cancer patients treated with definitive radiotherapy. Gynecologic Oncology. 159(2). 546–553. 20 indexed citations
7.
Yoshimoto, Yuya, et al.. (2019). Discovery of metyltetraprole: Identification of tetrazolinone pharmacophore to overcome QoI resistance. Bioorganic & Medicinal Chemistry. 28(1). 115211–115211. 28 indexed citations
8.
Ando, Ken, Yoshiyuki Suzuki, Takuya Kaminuma, et al.. (2018). Tumor-specific CD8-positive T cell-mediated antitumor immunity is implicated in the antitumor effect of local hyperthermia. International Journal of Hyperthermia. 35(1). 226–231. 10 indexed citations
9.
Shiba, Shintaro, Masahiko Okamoto, Hiroki Kiyohara, et al.. (2018). Clinical Advantage of Chest-wall Post-mastectomy Radiation Therapy Without Bolus. In Vivo. 32(4). 961–965. 10 indexed citations
10.
Ligtenberg, Maarten A., Yago Pico de Coaña, Yuya Yoshimoto, et al.. (2018). Self-Delivering RNAi Targeting PD-1 Improves Tumor-Specific T Cell Functionality for Adoptive Cell Therapy of Malignant Melanoma. Molecular Therapy. 26(6). 1482–1493. 39 indexed citations
11.
Sato, Hiro, Atsuko Niimi, Takaaki Yasuhara, et al.. (2017). DNA double-strand break repair pathway regulates PD-L1 expression in cancer cells. Nature Communications. 8(1). 1751–1751. 533 indexed citations breakdown →
12.
Yoshida, Yukari, Koichi Andō, Ken Ando, et al.. (2015). Evaluation of therapeutic gain for fractionated carbon-ion radiotherapy using the tumor growth delay and crypt survival assays. Radiotherapy and Oncology. 117(2). 351–357. 13 indexed citations
13.
Yoshimoto, Yuya, Takahiro Oike, Noriyuki Okonogi, et al.. (2015). Carbon-ion beams induce production of an immune mediator protein, high mobility group box 1, at levels comparable with X-ray irradiation. Journal of Radiation Research. 56(3). 509–514. 58 indexed citations
14.
Wennerberg, Erik, Aline Pfefferle, Lars Ekblad, et al.. (2014). Human Anaplastic Thyroid Carcinoma Cells Are Sensitive to NK Cell–Mediated Lysis via ULBP2/5/6 and Chemoattract NK Cells. Clinical Cancer Research. 20(22). 5733–5744. 50 indexed citations
15.
Suzuki, Yoshiyuki, Kousaku Mimura, Yuya Yoshimoto, et al.. (2012). Immunogenic Tumor Cell Death Induced by Chemoradiotherapy in Patients with Esophageal Squamous Cell Carcinoma. Cancer Research. 72(16). 3967–3976. 185 indexed citations
16.
Yoshimoto, Yuya, Manabu Kawada, Daishiro Ikeda, & Masaaki Ishizuka. (2004). Involvement of doxorubicin-induced Fas expression in the antitumor effect of doxorubicin on Lewis lung carcinoma in vivo. International Immunopharmacology. 5(2). 281–288. 18 indexed citations
18.
Yoshimoto, Yuya & Masaya Imoto. (2002). Induction of EGF-Dependent Apoptosis by Vacuolar-Type H+-ATPase Inhibitors in A431 Cells Overexpressing the EGF Receptor. Experimental Cell Research. 279(1). 118–127. 32 indexed citations
19.
Nakae, Koichi, Yuya Yoshimoto, TSUTOMU SAWA, et al.. (2000). Migrastatin, a New Inhibitor of Tumor Cell Migration from Streptomyces sp. MK929-43F1. Taxonomy, Fermentation, Isolation and Biological Activities.. The Journal of Antibiotics. 53(10). 1130–1136. 107 indexed citations
20.
Yoshimoto, Yuya, TSUTOMU SAWA, HIROSHI NAGANAWA, et al.. (2000). MK800-62F1, a New Inhibitor of Apoptotic Cell Death, from Streptomyces diastatochromogenes MK800-62F1. II. Structure Elucidation.. The Journal of Antibiotics. 53(6). 575–578. 4 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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