Tetsuro Sasada

4.6k total citations
119 papers, 3.3k citations indexed

About

Tetsuro Sasada is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Tetsuro Sasada has authored 119 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Immunology, 59 papers in Oncology and 43 papers in Molecular Biology. Recurrent topics in Tetsuro Sasada's work include Immunotherapy and Immune Responses (57 papers), Cancer Immunotherapy and Biomarkers (39 papers) and vaccines and immunoinformatics approaches (22 papers). Tetsuro Sasada is often cited by papers focused on Immunotherapy and Immune Responses (57 papers), Cancer Immunotherapy and Biomarkers (39 papers) and vaccines and immunoinformatics approaches (22 papers). Tetsuro Sasada collaborates with scholars based in Japan, United States and Sweden. Tetsuro Sasada's co-authors include Kyogo Itoh, Arimichi Takabayashi, Junji Yodoi, Yuka Igarashi, Shugo Ueda, Hajime Nakamura, Masanori Noguchi, Akira Yamada, Koichi Azuma and Hiroshi Masutani and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

Tetsuro Sasada

115 papers receiving 3.3k citations

Peers

Tetsuro Sasada

ONCOL

IMMUN

PRM

SURGE

Jaye L. Viner United States

Young‐Ah Suh South Korea

Jianxin Gu China

Satyanarayana Rachagani United States

Michael Höcker Germany

Quansheng Zhou China

Soner Altiok United States

Henning Schulze‐Bergkamen Germany

Jianfeng Chen China

Venkateshwar G. Keshamouni United States

Jaye L. Viner United States

Tetsuro Sasada

1.5k ×1.0

1.2k ×0.9

ONCOL

862 ×0.7

IMMUN

313 ×0.7

PRM

204 ×0.7

SURGE

Citations per year, relative to Tetsuro Sasada Tetsuro Sasada (= 1×) peers Jaye L. Viner

Countries citing papers authored by Tetsuro Sasada

Since Specialization

Citations

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

Fields of papers citing papers by Tetsuro Sasada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuro Sasada

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

All Works

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20 of 20 papers shown

Wei, Feifei, Hiroyuki Takeda, Koichi Azuma, et al.. (2025). Machine learning–based insights into circulating autoantibody dynamics and treatment outcomes in patients with NSCLC receiving immune checkpoint inhibitors. Frontiers in Immunology. 16. 1666030–1666030.

Kouro, Taku, Tetsuro Sasada, & Kohzoh Imai. (2025). Mechanistic insights into the limited function of CAR-T cells in solid tumors and potential solutions. International Immunopharmacology. 161. 115010–115010. 1 indexed citations

Wei, Feifei, Taku Kouro, Yuko Nakamura, et al.. (2024). Enhancing Mass spectrometry-based tumor immunopeptide identification: machine learning filter leveraging HLA binding affinity, aliphatic index and retention time deviation. Computational and Structural Biotechnology Journal. 23. 859–869. 6 indexed citations

Kouro, Taku, Yasunobu Mano, Rika Kasajima, et al.. (2024). Novel chimeric antigen receptor‐expressing T cells targeting the malignant mesothelioma‐specific antigen sialylated HEG1. International Journal of Cancer. 154(10). 1828–1841. 5 indexed citations

Wei, Feifei & Tetsuro Sasada. (2023). Circulating cytokine signatures as a soluble biomarker of immune checkpoint inhibitor therapy in non-small-cell lung cancer. Genes and Immunity. 25(1). 89–91. 4 indexed citations

Azuma, Koichi, Norikazu Matsuo, Kenta Murotani, et al.. (2023). Survival and biomarkers for cachexia in non‐small cell lung cancer receiving immune checkpoint inhibitors. Cancer Medicine. 12(19). 19471–19479. 7 indexed citations

Kouro, Taku, Hidetomo Himuro, & Tetsuro Sasada. (2022). Exhaustion of CAR T cells: potential causes and solutions. Journal of Translational Medicine. 20(1). 239–239. 80 indexed citations

Nakahara, Yoshiro, Takaji Matsutani, Yuka Igarashi, et al.. (2021). Clinical significance of peripheral TCR and BCR repertoire diversity in EGFR/ALK wild-type NSCLC treated with anti-PD-1 antibody. Cancer Immunology Immunotherapy. 70(10). 2881–2892. 17 indexed citations

Sakamoto, Shinjiro, Satoko Matsueda, Shinzo Takamori, et al.. (2017). Immunological evaluation of peptide vaccination for cancer patients with the HLA ‐A11⁺ or ‐A33⁺ allele. Cancer Science. 108(4). 598–603. 4 indexed citations

10.

Matsueda, Satoko, Akira Yamada, Shigeki Shichijo, et al.. (2017). A randomized phase II trial of personalized peptide vaccine with low dose cyclophosphamide in biliary tract cancer. Cancer Science. 108(5). 838–845. 34 indexed citations

11.

Iwasa, Satoru, Yasuhide Yamada, Yuji Heike, et al.. (2016). Phase I study of a new cancer vaccine of ten mixed peptides for advanced cancer patients. Cancer Science. 107(5). 590–600. 10 indexed citations

12.

Mori, Shinsuke, et al.. (2016). A Japanese Chess Commentary Corpus. Language Resources and Evaluation. 1415–1420. 3 indexed citations

13.

Noguchi, Masanori, Kazumasa Matsumoto, Hirotsugu Uemura, et al.. (2015). An Open-Label, Randomized Phase II Trial of Personalized Peptide Vaccination in Patients with Bladder Cancer that Progressed after Platinum-Based Chemotherapy. Clinical Cancer Research. 22(1). 54–60. 49 indexed citations

14.

Yutani, Shigeru, Satoru Motoyama, Takanobu Nomura, et al.. (2014). Phase II Study of Personalized Peptide Vaccination for Previously Treated Advanced Colorectal Cancer. Cancer Immunology Research. 2(12). 1154–1162. 44 indexed citations

15.

Mori, Shinsuke, et al.. (2014). A Japanese Word Dependency Corpus. Language Resources and Evaluation. 753–758. 14 indexed citations

16.

Mori, Shinsuke, et al.. (2014). Flow Graph Corpus from Recipe Texts. Language Resources and Evaluation. 2370–2377. 51 indexed citations

17.

Terazaki, Yasuhiro, Satoko Matsueda, Noriko Watanabe, et al.. (2012). Immunological evaluation of personalized peptide vaccination in refractory small cell lung cancer. Cancer Science. 103(4). 638–644. 20 indexed citations

18.

Mori, Shinsuke, Tetsuro Sasada, & Graham Neubig. (2011). Language Model Estimation from a Stochastically Tagged Corpus. Journal of Natural Language Processing. 18(2). 71–87. 1 indexed citations

19.

Azuma, Koichi, Tetsuro Sasada, Akihiko Kawahara, et al.. (2009). Expression of ERCC1 and class III β-tubulin in non-small cell lung cancer patients treated with a combination of cisplatin/docetaxel and concurrent thoracic irradiation. Cancer Chemotherapy and Pharmacology. 64(3). 565–573. 32 indexed citations

20.

Sasada, Tetsuro, et al.. (1992). A Case of Focal Fatty Replacement of the Pancreas.. The Japanese Journal of Gastroenterological Surgery. 25(9). 2407–2411. 1 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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