Tatsuya Yoshida

7.6k total citations
168 papers, 2.5k citations indexed

About

Tatsuya Yoshida is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Tatsuya Yoshida has authored 168 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Oncology, 91 papers in Pulmonary and Respiratory Medicine and 32 papers in Surgery. Recurrent topics in Tatsuya Yoshida's work include Lung Cancer Treatments and Mutations (68 papers), Cancer Immunotherapy and Biomarkers (46 papers) and Lung Cancer Research Studies (44 papers). Tatsuya Yoshida is often cited by papers focused on Lung Cancer Treatments and Mutations (68 papers), Cancer Immunotherapy and Biomarkers (46 papers) and Lung Cancer Research Studies (44 papers). Tatsuya Yoshida collaborates with scholars based in Japan, United States and United Kingdom. Tatsuya Yoshida's co-authors include Haruhiro Inoue, Yuichiro Ohe, Shinsuke Usui, Toyoaki Hida, Yasushi Yatabe, Shin‐ei Kudo, Hitoshi Satodate, Norio Fukami, Yoshitsugu Horio and Junichi Shimizu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Tatsuya Yoshida

151 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
Tatsuya Yoshida Japan 23 1.3k 1.3k 556 469 346 168 2.5k
Chang Young Lee South Korea 29 843 0.6× 1.7k 1.3× 616 1.1× 391 0.8× 297 0.9× 124 2.6k
Aaron T. Wild United States 21 1.3k 1.0× 654 0.5× 435 0.8× 315 0.7× 366 1.1× 53 2.0k
Xin‐Zu Chen China 27 940 0.7× 1.5k 1.2× 1.1k 2.1× 339 0.7× 259 0.7× 125 2.6k
Atsuo Takashima Japan 30 1.7k 1.2× 1.5k 1.2× 923 1.7× 388 0.8× 221 0.6× 222 2.9k
Jean‐Pascal Machiels Belgium 29 1.6k 1.2× 1.1k 0.9× 657 1.2× 806 1.7× 482 1.4× 137 3.1k
Paul E. Van Schil Belgium 19 1.2k 0.9× 2.0k 1.5× 436 0.8× 327 0.7× 378 1.1× 68 2.7k
Xue Hou China 26 1.3k 1.0× 1.0k 0.8× 387 0.7× 376 0.8× 317 0.9× 104 2.1k
Min‐Shu Hsieh Taiwan 28 1.1k 0.8× 1.2k 0.9× 640 1.2× 535 1.1× 270 0.8× 125 2.3k
Olivier Dubreuil France 15 932 0.7× 498 0.4× 378 0.7× 310 0.7× 382 1.1× 56 1.6k
Henri Porte France 26 684 0.5× 1.5k 1.1× 787 1.4× 418 0.9× 337 1.0× 77 2.8k

Countries citing papers authored by Tatsuya Yoshida

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuya Yoshida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuya Yoshida

This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya Yoshida. A scholar is included among the top collaborators of Tatsuya Yoshida 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 Tatsuya Yoshida. Tatsuya Yoshida 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.
Yoshida, Tatsuya, Noriko Motoi, Yuji Matsumoto, et al.. (2025). Schlafen 11 Expression in Patients With Small Cell Lung Cancer and Its Association With Clinical Outcomes. Thoracic Cancer. 16(1). e15529–e15529. 1 indexed citations
3.
Shirasawa, Masayuki, Tatsuya Yoshida, Takaji Matsutani, et al.. (2025). Diversity of TCR repertoire predicts recurrence after CRT followed by durvalumab in patients with NSCLC. npj Precision Oncology. 9(1). 17–17. 1 indexed citations
4.
Nishinakamura, Hitomi, Takuma Irie, Takeo Naito, et al.. (2025). Coactivation of innate immune suppressive cells induces acquired resistance against combined TLR agonism and PD-1 blockade. Science Translational Medicine. 17(785). eadk3160–eadk3160. 8 indexed citations
6.
Dowlati, Afshin, Horst-Dieter Hummel, Stéphane Champiat, et al.. (2024). Sustained Clinical Benefit and Intracranial Activity of Tarlatamab in Previously Treated Small Cell Lung Cancer: DeLLphi-300 Trial Update. Journal of Clinical Oncology. 42(29). 3392–3399. 22 indexed citations
9.
Tanaka, Tomohiro, Yasushi Goto, Masafumi Horie, et al.. (2023). Whole Exome Sequencing of Thymoma Patients Exhibiting Exceptional Responses to Pemetrexed Monotherapy. Cancers. 15(16). 4018–4018. 2 indexed citations
10.
Yasuhara, Takaaki, Makoto Nishino, Tatsuya Yoshida, et al.. (2023). An ATR-PrimPol pathway confers tolerance to oncogenic KRAS-induced and heterochromatin-associated replication stress. Nature Communications. 14(1). 4991–4991. 21 indexed citations
11.
Kondo, Shunsuke, Noriko Tanabe, Yuki Katsuya, et al.. (2023). Pathogenic Germline Variants in BRCA1/2 and p53 Identified by Real-world Comprehensive Cancer Genome Profiling Tests in Asian Patients. Cancer Research Communications. 3(11). 2302–2311. 3 indexed citations
13.
Yoshida, Tatsuya, Takashi Kohno, Ken Masuda, et al.. (2022). Liquid biopsy for the detection of resistance mutations to ROS1 and RET inhibitors in non-small lung cancers: A case series study. Respiratory Investigation. 60(6). 852–856. 2 indexed citations
14.
Horinouchi, Hidehito, Tatsuya Yoshida, Ken Masuda, et al.. (2021). Correlation between body mass index and efficacy of anti-PD-1 inhibitor in patients with non-small cell lung cancer. Respiratory Investigation. 60(2). 234–240. 10 indexed citations
15.
Horinouchi, Hidehito, Ken Masuda, Yuki Shinno, et al.. (2021). Comparison of time to failure of pembrolizumab plus chemotherapy versus pembrolizumab monotherapy: a consecutive analysis of patients having NSCLC with high PD-L1 expression. Cancer Immunology Immunotherapy. 71(3). 737–746. 6 indexed citations
17.
Murakami, Shuji, Ryota Shibaki, Yuji Matsumoto, et al.. (2020). Association between serum level soluble programmed cell death ligand 1 and prognosis in patients with non‐small cell lung cancer treated with anti‐PD‐1 antibody. Thoracic Cancer. 11(12). 3585–3595. 36 indexed citations
18.
Ichikawa, Junya, Tatsuya Yoshida, Ariel Isser, et al.. (2020). Rapid Expansion of Highly Functional Antigen-Specific T Cells from Patients with Melanoma by Nanoscale Artificial Antigen-Presenting Cells. Clinical Cancer Research. 26(13). 3384–3396. 34 indexed citations
19.
Yoshida, Tatsuya, Genichiro Ishii, Kōichi Goto, et al.. (2014). Podoplanin-Positive Cancer-Associated Fibroblasts in the Tumor Microenvironment Induce Primary Resistance to EGFR-TKIs in Lung Adenocarcinoma with EGFR Mutation. Clinical Cancer Research. 21(3). 642–651. 102 indexed citations
20.
Yoshida, Tatsuya, Shinsuke Usui, Haruhiro Inoue, & Shin‐ei Kudo. (2004). The Management of Esophageal Cancer with Situs Inversus Totalis by Simultaneous Hand-Assisted Laparoscopic Gastric Mobilization and Thoracoscopic Esophagectomy. Journal of Laparoendoscopic & Advanced Surgical Techniques. 14(6). 384–389. 14 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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