Kazuaki Tanabe

6.6k total citations · 1 hit paper
153 papers, 5.2k citations indexed

About

Kazuaki Tanabe is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, Kazuaki Tanabe has authored 153 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Pulmonary and Respiratory Medicine, 52 papers in Surgery and 51 papers in Oncology. Recurrent topics in Kazuaki Tanabe's work include Gastric Cancer Management and Outcomes (63 papers), Gastrointestinal Tumor Research and Treatment (31 papers) and Metastasis and carcinoma case studies (28 papers). Kazuaki Tanabe is often cited by papers focused on Gastric Cancer Management and Outcomes (63 papers), Gastrointestinal Tumor Research and Treatment (31 papers) and Metastasis and carcinoma case studies (28 papers). Kazuaki Tanabe collaborates with scholars based in Japan, United States and Belgium. Kazuaki Tanabe's co-authors include Ryungsa Kim, Manabu Emi, Emi Murniati, Koji Arihiro, Tetsuya Toge, R. Kim, Syozo Murakami, Yoko Uchida, Hideki Ohdan and Hideki Inoue and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kazuaki Tanabe

143 papers receiving 5.1k citations

Hit Papers

Cancer immunoediting from immune surveillance to immune e... 2007 2026 2013 2019 2007 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kazuaki Tanabe Japan 35 1.8k 1.6k 1.4k 1.3k 828 153 5.2k
Junichi Nishimura Japan 37 2.2k 1.2× 1.3k 0.8× 872 0.6× 901 0.7× 1.3k 1.6× 207 5.4k
Woo Sung Moon South Korea 37 1.7k 0.9× 1.5k 0.9× 840 0.6× 601 0.5× 794 1.0× 157 4.6k
Shingo Tsuji Japan 39 2.4k 1.3× 920 0.6× 799 0.6× 1.0k 0.8× 1.9k 2.3× 154 6.9k
Yan Li China 31 1.5k 0.8× 1.5k 0.9× 1.0k 0.7× 520 0.4× 976 1.2× 207 4.4k
Marc G. Denis France 40 2.1k 1.1× 1.4k 0.9× 970 0.7× 811 0.6× 409 0.5× 176 4.9k
Joji Kitayama Japan 49 2.9k 1.6× 2.7k 1.6× 1.1k 0.8× 857 0.7× 1.5k 1.8× 195 7.4k
Masahiko Tsujii Japan 45 2.8k 1.5× 2.0k 1.2× 1.8k 1.3× 1.0k 0.8× 2.9k 3.5× 198 11.6k
Tetsuji Takayama Japan 37 2.3k 1.2× 1.7k 1.0× 1.1k 0.8× 328 0.3× 1.3k 1.5× 268 6.2k
Yutaka Aoyagi Japan 36 1.3k 0.7× 811 0.5× 810 0.6× 772 0.6× 1.2k 1.4× 220 4.6k
Zsolt Tulassay Hungary 42 2.1k 1.1× 1.6k 1.0× 847 0.6× 575 0.4× 1.8k 2.1× 302 5.9k

Countries citing papers authored by Kazuaki Tanabe

Since Specialization
Citations

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

Fields of papers citing papers by Kazuaki Tanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuaki Tanabe

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuaki Tanabe. A scholar is included among the top collaborators of Kazuaki Tanabe 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 Kazuaki Tanabe. Kazuaki Tanabe 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.
Sakamoto, Naoya, Yuka Nakamura, Hiroko Hashimoto, et al.. (2025). PI3 expression predicts recurrence after chemotherapy with DNA‐damaging drugs in gastric cancer. The Journal of Pathology. 265(4). 472–485.
2.
Ueno, Keiko, Chie Teramoto, Daisuke Nishioka, et al.. (2024). Factors associated with prolonged on-scene time in ambulance transportation among patients with minor diseases or injuries in Japan: a population-based observational study. BMC Emergency Medicine. 24(1). 10–10. 2 indexed citations
3.
Tanabe, Kazuaki, et al.. (2024). P28-3 Clinical application of portable fNIRS to measure cognitive impairment after chemotherapy in a colorectal cancer patient. Annals of Oncology. 35. S1374–S1375. 1 indexed citations
4.
Tanabe, Kazuaki, et al.. (2024). Clinicopathological features of hepatoid adenocarcinoma of the stomach: A multicenter retrospective study. Cancer Reports. 7(6). e2101–e2101. 2 indexed citations
6.
Teramoto, Chie, et al.. (2023). Identifying subgroup characteristics of adult ambulance users with nonurgent medical conditions in Japan: A population‐based observational study. SHILAP Revista de lepidopterología. 10(1). e911–e911. 1 indexed citations
7.
Takashima, Atsuo, Kengo Nagashima, Koshi Kumagai, et al.. (2023). Evaluating the efficacy of post-operative chemotherapy after curative resection of stage IV gastric cancer with synchronous oligo metastasis: a multicenter retrospective study. Gastric Cancer. 26(2). 307–316. 5 indexed citations
8.
Nakada, Koji, Kazuhiro Yoshida, Nobue Futawatari, et al.. (2023). Effect of Four Main Gastrectomy Procedures for Proximal Gastric Cancer on Patient Quality of Life: A Nationwide Multi-Institutional Study. Journal of the Korean Gastric Cancer Association. 23(2). 275–275. 8 indexed citations
9.
Takashima, Tsuyoshi, Daiki Taniyama, Naoya Sakamoto, et al.. (2021). Schlafen 11 predicts response to platinum-based chemotherapy in gastric cancers. British Journal of Cancer. 125(1). 65–77. 37 indexed citations
10.
Nakamura, Koki, Yuji Urabe, Ryo Yuge, et al.. (2020). Genomic Characterization of Non-Invasive Differentiated-Type Gastric Cancer in the Japanese Population. Cancers. 12(2). 510–510. 8 indexed citations
11.
Honma, Ririno, Naoya Sakamoto, Yusuke Yamamoto, et al.. (2020). Molecular biological analysis of 5-FU-resistant gastric cancer organoids; KHDRBS3 contributes to the attainment of features of cancer stem cell. Oncogene. 39(50). 7265–7278. 51 indexed citations
12.
Mukai, Shoichiro, Naohide Oue, Takashi Oshima, et al.. (2016). Overexpression of Transmembrane Protein BST2 is Associated with Poor Survival of Patients with Esophageal, Gastric, or Colorectal Cancer. Annals of Surgical Oncology. 24(2). 594–602. 44 indexed citations
14.
Tanabe, Kazuaki, et al.. (2014). A large esophageal gastrointestinal stromal tumor that was successfully resected after neoadjuvant imatinib treatment: case report. World Journal of Surgical Oncology. 12(1). 47–47. 12 indexed citations
16.
Kim, Ryungsa, Koji Arihiro, Manabu Emi, Kazuaki Tanabe, & Akihiko Osaki. (2006). Potential role of HER-2; in primary breast tumor with bone metastasis. Oncology Reports. 15(6). 1477–84. 11 indexed citations
17.
Tanabe, Kazuaki, Ryungsa Kim, Hideki Inoue, et al.. (2003). Antisense Bcl-2 and HER-2 oligonucleotide treatment of breast cancer cells enhances their sensitivity to anticancer drugs. International Journal of Oncology. 22(4). 875–81. 34 indexed citations
18.
Kim, Ryungsa, Kazuaki Tanabe, Yoko Uchida, et al.. (2002). Current status of the molecular mechanisms of anticancer drug-induced apoptosis. Cancer Chemotherapy and Pharmacology. 50(5). 343–352. 221 indexed citations
20.
Kim, R., Hideki Inoue, Kazuaki Tanabe, & T Toge. (2001). Effect of inhibitors of cysteine and serine proteases in anticancer drug-induced apoptosis in gastric cancer cells. International Journal of Oncology. 18(6). 1227–32. 17 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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