Kohei Shitara

35.3k total citations · 12 hit papers
504 papers, 14.2k citations indexed

About

Kohei Shitara is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Kohei Shitara has authored 504 papers receiving a total of 14.2k indexed citations (citations by other indexed papers that have themselves been cited), including 369 papers in Oncology, 356 papers in Pulmonary and Respiratory Medicine and 127 papers in Surgery. Recurrent topics in Kohei Shitara's work include Gastric Cancer Management and Outcomes (310 papers), Colorectal Cancer Treatments and Studies (185 papers) and Gastrointestinal Tumor Research and Treatment (97 papers). Kohei Shitara is often cited by papers focused on Gastric Cancer Management and Outcomes (310 papers), Colorectal Cancer Treatments and Studies (185 papers) and Gastrointestinal Tumor Research and Treatment (97 papers). Kohei Shitara collaborates with scholars based in Japan, United States and South Korea. Kohei Shitara's co-authors include Hiroyoshi Nishikawa, Yosuke Togashi, Akihito Kawazoe, Kei Muro, Toshihiko Doi, Hyun Cheol Chung, Yoshiaki Nakamura, Eric Van Cutsem, Atsushi Ohtsu and Takeshi Kuwata and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Kohei Shitara

480 papers receiving 14.1k citations

Hit Papers

Regulatory T cells in cancer immunosuppression — implicat... 2017 2026 2020 2023 2019 2020 2019 2020 2021 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kohei Shitara Japan 55 9.3k 6.9k 3.3k 2.3k 2.2k 504 14.2k
Toshihiko Doi Japan 62 9.3k 1.0× 6.4k 0.9× 3.6k 1.1× 2.0k 0.9× 2.6k 1.2× 424 14.4k
Jayesh Desai Australia 45 7.7k 0.8× 4.9k 0.7× 2.0k 0.6× 1.1k 0.5× 3.5k 1.5× 325 13.4k
Josef Rüschoff Germany 51 8.9k 1.0× 6.2k 0.9× 3.4k 1.0× 712 0.3× 4.1k 1.8× 223 15.3k
Kosei Hirakawa Japan 63 7.6k 0.8× 3.3k 0.5× 3.2k 1.0× 1.7k 0.7× 4.6k 2.1× 590 14.2k
Sara Lonardi Italy 50 10.9k 1.2× 4.0k 0.6× 3.2k 1.0× 1.3k 0.6× 2.0k 0.9× 473 13.9k
Akira Sawaki Japan 44 6.3k 0.7× 7.4k 1.1× 4.7k 1.4× 409 0.2× 1.9k 0.9× 150 11.8k
Huamin Wang United States 74 11.5k 1.2× 4.0k 0.6× 4.3k 1.3× 2.0k 0.9× 5.6k 2.5× 256 17.9k
Hans Prenen Belgium 41 4.0k 0.4× 2.6k 0.4× 1.3k 0.4× 1.3k 0.6× 2.6k 1.2× 207 8.6k
Ho Yeong Lim South Korea 58 6.6k 0.7× 5.7k 0.8× 3.6k 1.1× 1.0k 0.5× 3.5k 1.6× 369 15.0k
Andrew M. Lowy United States 58 7.5k 0.8× 2.6k 0.4× 4.3k 1.3× 1.3k 0.6× 4.1k 1.8× 248 12.6k

Countries citing papers authored by Kohei Shitara

Since Specialization
Citations

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

Fields of papers citing papers by Kohei Shitara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kohei Shitara

This figure shows the co-authorship network connecting the top 25 collaborators of Kohei Shitara. A scholar is included among the top collaborators of Kohei Shitara 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 Kohei Shitara. Kohei Shitara 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
2.
Klempner, Samuel J., Roberto Pazo-Cid, Sara Lonardi, et al.. (2025). Consensus guidance for prevention and management of nausea and vomiting in patients treated with zolbetuximab + chemotherapy: a RAND/UCLA modified Delphi panel study. PubMed. 7. 100131–100131. 4 indexed citations
4.
Shitara, Kohei, Yung‐Jue Bang, Lucjan Wyrwicz, et al.. (2024). Neoadjuvant/adjuvant pembrolizumab (pembro) + chemotherapy (chemo) vs placebo (pbo) + chemo for gastric/gastroesophageal junction (G/GEJ) adenocarcinoma: Major pathologic response (mPR) in KEYNOTE-585.. Journal of Clinical Oncology. 42(16_suppl). 4073–4073. 2 indexed citations
5.
6.
Shen, Lin, Kohei Shitara, Jen‐Shi Chen, et al.. (2024). GEMINI-Gastric: A phase 2 study of novel treatment combinations in patients with locally advanced unresectable or metastatic gastric cancers.. Journal of Clinical Oncology. 42(16_suppl). TPS4182–TPS4182. 1 indexed citations
8.
Raufi, Alexander G., Lipika Goyal, Elizabeth Smyth, et al.. (2024). CLARITY-PanTumor01: A phase 2 trial of the claudin 18.2-specific antibody-drug conjugate AZD0901 (CMG901) in patients with CLDN18.2-expressing advanced solid tumors.. Journal of Clinical Oncology. 42(16_suppl). TPS3163–TPS3163. 3 indexed citations
9.
Uetake, Hiroyuki, Kohei Shitara, Takayuki Yoshino, et al.. (2024). Acquired gene alteration patterns and post-progression survival: PARADIGM study analysis.. Journal of Clinical Oncology. 42(16_suppl). 3507–3507. 2 indexed citations
10.
Wainberg, Zev A., Jipan Xie, Adriana Valderrama, et al.. (2023). Event-Free Survival as a Surrogate for Overall Survival in Gastric and Gastroesophageal Junction Adenocarcinoma: A Meta-analysis in the Neoadjuvant ± Adjuvant Setting. Clinical Cancer Research. 29(7). 1360–1367. 2 indexed citations
13.
Lee, Keun‐Wook, Eric Van Cutsem, Yung‐Jue Bang, et al.. (2022). Association of Tumor Mutational Burden with Efficacy of Pembrolizumab±Chemotherapy as First-Line Therapy for Gastric Cancer in the Phase III KEYNOTE-062 Study. Clinical Cancer Research. 28(16). 3489–3498. 55 indexed citations
14.
Aoki, Hiroyasu, Satoshi Ueha, Shigeyuki Shichino, et al.. (2021). Transient Depletion of CD4+ Cells Induces Remodeling of the TCR Repertoire in Gastrointestinal Cancer. Cancer Immunology Research. 9(6). 624–636. 13 indexed citations
16.
Kawazoe, Akihito, Kota Itahashi, Noboru Yamamoto, et al.. (2021). TAS-116 (Pimitespib), an Oral HSP90 Inhibitor, in Combination with Nivolumab in Patients with Colorectal Cancer and Other Solid Tumors: An Open-Label, Dose-Finding, and Expansion Phase Ib Trial (EPOC1704). Clinical Cancer Research. 27(24). 6709–6715. 41 indexed citations
17.
Kanemitsu, Yukihide, Kohei Shitara, Junki Mizusawa, et al.. (2021). Primary Tumor Resection Plus Chemotherapy Versus Chemotherapy Alone for Colorectal Cancer Patients With Asymptomatic, Synchronous Unresectable Metastases (JCOG1007; iPACS): A Randomized Clinical Trial. Journal of Clinical Oncology. 39(10). 1098–1107. 115 indexed citations
18.
Sasaki, Akinori, Akihito Kawazoe, Saori Mishima, et al.. (2020). Improved efficacy of taxanes and ramucirumab combination chemotherapy after exposure to anti-PD-1 therapy in advanced gastric cancer. ESMO Open. 5(4). e000775–e000775. 30 indexed citations
19.
Nakao, Makoto, Keitaro Matsuo, Hidemi Ito, et al.. (2011). ABO Genotype and the Risk of Gastric Cancer, Atrophic Gastritis, and Helicobacter pylori Infection. Cancer Epidemiology Biomarkers & Prevention. 20(8). 1665–1672. 54 indexed citations
20.
Shitara, Kohei, Kei Muro, Seiji Ito, et al.. (2010). Folate Intake along with Genetic Polymorphisms in Methylenetetrahydrofolate Reductase and Thymidylate Synthase in Patients with Advanced Gastric Cancer. Cancer Epidemiology Biomarkers & Prevention. 19(5). 1311–1319. 31 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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