Yoïchi Tanaka

12.1k total citations
199 papers, 4.2k citations indexed

About

Yoïchi Tanaka is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yoïchi Tanaka has authored 199 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Surgery, 48 papers in Oncology and 34 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yoïchi Tanaka's work include Acute Lymphoblastic Leukemia research (21 papers), Gastric Cancer Management and Outcomes (20 papers) and Esophageal Cancer Research and Treatment (18 papers). Yoïchi Tanaka is often cited by papers focused on Acute Lymphoblastic Leukemia research (21 papers), Gastric Cancer Management and Outcomes (20 papers) and Esophageal Cancer Research and Treatment (18 papers). Yoïchi Tanaka collaborates with scholars based in Japan, United States and France. Yoïchi Tanaka's co-authors include Norio Kawakami, Moníque Capron, Éric Delaporte, Abdelilah S. Gounni, Masaki Mori, Kenichi Ochiai, Bouchaïb Lamkhioued, A Capron, Koshi Mimori and Jean‐Pierre Kinet and has published in prestigious journals such as Nature, Physical Review Letters and Journal of Clinical Oncology.

In The Last Decade

Yoïchi Tanaka

185 papers receiving 4.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoïchi Tanaka Japan 35 1.1k 992 856 644 472 199 4.2k
Owen J. T. McCarty United States 48 1.4k 1.3× 978 1.0× 643 0.8× 982 1.5× 227 0.5× 242 7.7k
Ian Todd United Kingdom 38 1.4k 1.3× 718 0.7× 539 0.6× 562 0.9× 412 0.9× 140 5.4k
José A. López United States 36 1.2k 1.1× 1.9k 1.9× 760 0.9× 785 1.2× 203 0.4× 111 6.7k
Takashi Okamura Japan 37 1.4k 1.3× 952 1.0× 432 0.5× 354 0.5× 199 0.4× 294 6.1k
C. Simon Herrington United Kingdom 41 1.7k 1.6× 1.7k 1.8× 1.3k 1.5× 492 0.8× 191 0.4× 208 7.3k
Radhika Srinivasan India 42 1.6k 1.5× 1.9k 1.9× 1.4k 1.6× 788 1.2× 256 0.5× 405 7.2k
Chih‐Yen Chien Taiwan 37 813 0.8× 997 1.0× 1.4k 1.7× 808 1.3× 217 0.5× 196 4.3k
Simon J. Atkinson United States 37 2.4k 2.2× 404 0.4× 428 0.5× 382 0.6× 640 1.4× 73 5.5k
D. Todd China 38 744 0.7× 986 1.0× 425 0.5× 732 1.1× 787 1.7× 162 5.5k
L. Weiss United States 43 1.4k 1.3× 1.4k 1.5× 652 0.8× 702 1.1× 486 1.0× 165 5.2k

Countries citing papers authored by Yoïchi Tanaka

Since Specialization
Citations

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

Fields of papers citing papers by Yoïchi Tanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoïchi Tanaka

This figure shows the co-authorship network connecting the top 25 collaborators of Yoïchi Tanaka. A scholar is included among the top collaborators of Yoïchi Tanaka 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 Yoïchi Tanaka. Yoïchi Tanaka 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.
Ushiki, Atsuhito, Koichiro Tatsumi, Akihiko Gemma, et al.. (2025). Clinical characteristics of drug-induced interstitial pneumonia in Japan. Respiratory Investigation. 63(4). 524–531. 1 indexed citations
2.
Tanaka, Yoïchi, Yoshio Shibagaki, Emi Mishiro‐Sato, et al.. (2024). Measurement of the intracellular active metabolites of thiopurine drugs to evaluate the enzymatic activity of nudix hydrolase 15 in human blood samples. Journal of Chromatography B. 1234. 123993–123993. 1 indexed citations
3.
Nguyen, Thao, Yoïchi Tanaka, Masashi Sanada, et al.. (2023). CRISPR/Cas9-Mediated Induction of Relapse-Specific NT5C2 and PRPS1 Mutations Confers Thiopurine Resistance as a Relapsed Lymphoid Leukemia Model. Molecular Pharmacology. 103(4). 199–210. 1 indexed citations
5.
Sun, Yuchen, Takahiro Nakamura, Yoshiaki Ohtsu, et al.. (2023). Development and Validation of qPCR Methods for Nucleic Acid Biomarkers as a Drug Development Tool: Points to Consider. Bioanalysis. 15(17). 1069–1081.
6.
Nakamura, Ryosuke, Noriaki Arakawa, Yoïchi Tanaka, et al.. (2022). Significant association between HLA‐B*35:01 and onset of drug‐induced liver injury caused by Kampo medicines in Japanese patients. Hepatology Research. 53(5). 440–449. 5 indexed citations
8.
Yang, Jun J., Michelle Whirl‐Carrillo, Stuart A. Scott, et al.. (2018). Pharmacogene Variation Consortium Gene Introduction: NUDT15. Clinical Pharmacology & Therapeutics. 105(5). 1091–1094. 40 indexed citations
9.
Tanaka, Yoïchi, Hisaya Nakadate, Kensuke Kondoh, et al.. (2017). Interaction between NUDT15 and ABCC4 variants enhances intolerability of 6-mercaptopurine in Japanese patients with childhood acute lymphoblastic leukemia. The Pharmacogenomics Journal. 18(2). 275–280. 40 indexed citations
10.
Nishi, Takayuki, et al.. (2011). A DIFFICULT-TO-DIAGNOSE CASE OF SUBMUCOSALLY INVASIVE, CA19-9-PRODUCING, WELL-DIFFERENTIATED GASTRIC CANCER. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 72(8). 2014–2018. 1 indexed citations
11.
Shibahara, Takahiko & Yoïchi Tanaka. (2010). . Journal of Japanese Society of Oral Oncology. 22(1). 2–9. 1 indexed citations
12.
Tanaka, Yoïchi, et al.. (2005). Experience of treatment by high-dose MTX therapy for five patients with osteosarcoma of the jaw. 54(2). 237–246. 1 indexed citations
13.
Ogawa, Kohei, T. Utsunomiya, Koshi Mimori, et al.. (2004). Clinical significance of elongation factor-1 delta mRNA expression in oesophageal carcinoma. British Journal of Cancer. 91(2). 282–286. 62 indexed citations
14.
Mimori, Koshi, Yoïchi Tanaka, Keiji Yoshinaga, et al.. (2004). Clinical significance of the overexpression of the candidate oncogene CYP24 in esophageal cancer. Annals of Oncology. 15(2). 236–241. 85 indexed citations
15.
Mori, Masaki, Koshi Mimori, Takuya Shiraishi, et al.. (2000). Altered expression of Fhit in carcinoma and precarcinomatous lesions of the esophagus.. PubMed. 60(5). 1177–82. 113 indexed citations
16.
Takahashi, Akiyoshi, et al.. (1996). Development of the JARE deep ice coring system (III). SHILAP Revista de lepidopterología. 2 indexed citations
17.
Takahashi, Akiyoshi, et al.. (1995). Development of the JARE deep ice coring system (II). SHILAP Revista de lepidopterología. 2 indexed citations
18.
Hirose, Ryoji, et al.. (1994). A Case of Merkel Cell Carcinoma, Successfully Treated with Radiotherapy.. The Nishinihon Journal of Dermatology. 56(1). 67–74. 1 indexed citations
19.
Muto, Terukazu, Otsuo Tanaka, Tsutomu Suzuki, et al.. (1991). Study on esophageal cancer associated with other primary cancers.. The Japanese Journal of Gastroenterological Surgery. 24(4). 968–976. 1 indexed citations
20.
Tanaka, Yoïchi, et al.. (1981). METASTATIC URETHRAL TUMOR FROM CARCINOMA OF THE BREAST: A CASE REPORT. Kyoto University Research Information Repository (Kyoto University). 27(11). 1393–1397.

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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