Keisuke Kanato

728 total citations
16 papers, 259 citations indexed

About

Keisuke Kanato is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Keisuke Kanato has authored 16 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Oncology. Recurrent topics in Keisuke Kanato's work include Renal and related cancers (4 papers), Cancer Genomics and Diagnostics (4 papers) and Gastric Cancer Management and Outcomes (3 papers). Keisuke Kanato is often cited by papers focused on Renal and related cancers (4 papers), Cancer Genomics and Diagnostics (4 papers) and Gastric Cancer Management and Outcomes (3 papers). Keisuke Kanato collaborates with scholars based in Japan, United States and United Kingdom. Keisuke Kanato's co-authors include Haruo Sugiyama, Naoki Hosen, Akihiro Tsuboi, Manabu Kawakami, Yusuke Oji, Yoshitaka Oka, Toshiaki Shirakata, Tomoki Masuda, Yoshihiko Hoshida and Shin‐ichi Nakatsuka and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Biochemical and Biophysical Research Communications.

In The Last Decade

Keisuke Kanato

14 papers receiving 256 citations

Peers

Keisuke Kanato

HEMAT

PHEOH

ONCOL

PRM

Rossana Putzulu Italy

Mariacarla De Simone Italy

Fiona Quinn Ireland

Mark Willette Belgium

Richy Agajanian United States

AC Homans United States

Jinsong Jia China

Ahmad Antar Lebanon

Rosa Coll Spain

Ebru İnci Çoşkun Türkiye

Rossana Putzulu Italy

Keisuke Kanato

157 ×0.9

133 ×1.5

HEMAT

55 ×0.7

PHEOH

51 ×1.1

ONCOL

13 ×0.3

PRM

Citations per year, relative to Keisuke Kanato Keisuke Kanato (= 1×) peers Rossana Putzulu

Countries citing papers authored by Keisuke Kanato

Since Specialization

Citations

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

Fields of papers citing papers by Keisuke Kanato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keisuke Kanato

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

All Works

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16 of 16 papers shown

Yamada, Yasuhide, Kengo Nagashima, Mizutomo Azuma, et al.. (2024). Predictive and prognostic value of excision repair cross-complementing group 1 in patients with advanced gastric cancer. PubMed. 2(1). 18–18.

Naito, Yoichi, Yukinori Ozaki, Hitoshi Tsuda, et al.. (2024). ctDNA monitoring for breast cancer at high risk of recurrence: Interim analysis of JCOG1204A1.. Journal of Clinical Oncology. 42(16_suppl). 518–518. 1 indexed citations

Hirano, Hidekazu, Yasuhide Yamada, Kengo Nagashima, et al.. (2024). Impact of PD-L1 expression on survival in patients with unresectable/recurrent gastric cancer receiving first-line chemotherapy without immune checkpoint inhibitors.. Journal of Clinical Oncology. 42(3_suppl). 391–391.

Shida, Dai, Aya Kuchiba, Tatsuhiro Shibata, et al.. (2023). Genomic landscape and its prognostic significance in stage III colorectal cancer: JCOG1506A1, an ancillary of JCOG0910. Cancer Science. 114(8). 3352–3363. 3 indexed citations

Hashimoto, Tadayoshi, Yuichiro Tsukada, Masaaki Ito, et al.. (2023). Utility of circulating tumour DNA for prognosis and prediction of therapeutic effect in locally recurrent rectal cancer: study protocol for a multi-institutional, prospective observational study (JCOG1801A1, CAP-LR study). BMJ Open. 13(8). e073217–e073217. 1 indexed citations

Aokage, Keiju, Masahiro Tsuboi, Yoshitaka Zenke, et al.. (2022). Study protocol for JCOG1807C (DEEP OCEAN): a interventional prospective trial to evaluate the efficacy and safety of durvalumab before and after operation or durvalumab as maintenance therapy after chemoradiotherapy against superior sulcus non-small cell lung cancer. Japanese Journal of Clinical Oncology. 52(4). 383–387. 5 indexed citations

Satoh, Toyomi, Hitoshi Tsuda, Keisuke Kanato, et al.. (2015). A non-randomized confirmatory study regarding selection of fertility-sparing surgery for patients with epithelial ovarian cancer: Japan Clinical Oncology Group Study (JCOG1203). Japanese Journal of Clinical Oncology. 45(6). 595–599. 15 indexed citations

Tahara, Makoto, Nozomu Fuse, Junki Mizusawa, et al.. (2015). Phase I/II trial of chemoradiotherapy with concurrent S‐1 and cisplatin for clinical stage II/III esophageal carcinoma (JCOG 0604). Cancer Science. 106(10). 1414–1420. 26 indexed citations

Kitagawa, Ryo, Noriyuki Katsumata, T. Shibata, et al.. (2012). A Randomized Phase III Trial of Paclitaxel Plus Carboplatin (TC) Versus Paclitaxel Plus Cisplatin (TP) in Stage IVB or Recurrent Cervical Cancer: Japan Clinical Oncology Group Study (JCOG0505). Annals of Oncology. 23. xi126–xi126. 2 indexed citations

10.

Nakamura, Keiko, Haruhiko Fukuda, Hideto Kaba, et al.. (2012). Current Status and Challenges in Jcog Data Center (DC) And Operations Office (OPS). Annals of Oncology. 23. xi69–xi69. 1 indexed citations

11.

Katayama, Hokahiro, Keiko Nakamura, Junki Mizusawa, et al.. (2011). Time to publication of the results of clinical trials conducted by Japan Clinical Oncology Group (JCOG).. Journal of Clinical Oncology. 29(15_suppl). e16640–e16640. 1 indexed citations

12.

Kanato, Keisuke, Keiko Nakamura, I. Saito, et al.. (2009). Treatment-related deaths (TRD) in investigator-initiated cancer cooperative group trials: From the datasets of 44 studies (4,964 patients) by the Japan Clinical Oncology Group (JCOG). Journal of Clinical Oncology. 27(15_suppl). 6632–6632. 2 indexed citations

13.

Nishida, Sumiyuki, Naoki Hosen, Toshiaki Shirakata, et al.. (2005). AML1-ETO rapidly induces acute myeloblastic leukemia in cooperation with the Wilms tumor gene, WT1. Blood. 107(8). 3303–3312. 95 indexed citations

14.

Hosen, Naoki, Masashi Yanagihara, Tsutomu Nakazawa, et al.. (2004). Identification of a gene element essential for leukemia-specific expression of transgenes. Leukemia. 18(3). 415–419. 2 indexed citations

15.

Kanato, Keisuke, Naoki Hosen, Masashi Yanagihara, et al.. (2004). The Wilms’ tumor gene WT1 is a common marker of progenitor cells in fetal liver. Biochemical and Biophysical Research Communications. 326(4). 836–843. 10 indexed citations

16.

Hosen, Naoki, Yoshiaki Sonoda, Yusuke Oji, et al.. (2002). Very low frequencies of human normal CD34⁺ haematopoietic progenitor cells express the Wilms' tumour gene WT1 at levels similar to those in leukaemia cells. British Journal of Haematology. 116(2). 409–420. 95 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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