Koji Ezumi

665 total citations
9 papers, 566 citations indexed

About

Koji Ezumi is a scholar working on Oncology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Koji Ezumi has authored 9 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 3 papers in Surgery and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Koji Ezumi's work include Colorectal Cancer Treatments and Studies (5 papers), Colorectal and Anal Carcinomas (3 papers) and Genetic factors in colorectal cancer (3 papers). Koji Ezumi is often cited by papers focused on Colorectal Cancer Treatments and Studies (5 papers), Colorectal and Anal Carcinomas (3 papers) and Genetic factors in colorectal cancer (3 papers). Koji Ezumi collaborates with scholars based in Japan and Ghana. Koji Ezumi's co-authors include Ichiro Takemasa, Hirofumi Yamamoto, Masataka Ikeda, Mitsugu Sekimoto, Morito Monden, Chew Yee Ngan, Nariaki Matsuura∥, Iwao Seshimo, Yujiro Fujie and Hiroshi Nojima and has published in prestigious journals such as Clinical Cancer Research, Cancer Letters and Journal of Surgical Oncology.

In The Last Decade

Koji Ezumi

9 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Koji Ezumi Japan	7	323	269	118	87	73	9	566
R. Donnellan South Africa	7	308 1.0×	302 1.1×	106 0.9×	92 1.1×	61 0.8×	12	576
Matthias Neid Germany	10	190 0.6×	281 1.0×	180 1.5×	84 1.0×	101 1.4×	30	599
S Hoffarth Germany	11	224 0.7×	306 1.1×	109 0.9×	73 0.8×	26 0.4×	12	565
Yanjie You China	15	196 0.6×	307 1.1×	144 1.2×	80 0.9×	40 0.5×	46	527
Fátima Solange Pasini Brazil	13	165 0.5×	223 0.8×	157 1.3×	50 0.6×	35 0.5×	31	444
Hemangini H. Vora India	13	260 0.8×	228 0.8×	100 0.8×	50 0.6×	69 0.9×	35	496
NR Lemoine United Kingdom	7	404 1.3×	360 1.3×	85 0.7×	81 0.9×	49 0.7×	9	709
Y. Doki Japan	8	239 0.7×	616 2.3×	94 0.8×	110 1.3×	185 2.5×	13	940
Janet I. Lee United States	8	191 0.6×	502 1.9×	104 0.9×	168 1.9×	53 0.7×	8	636
Dao Doan United States	7	179 0.6×	250 0.9×	67 0.6×	71 0.8×	26 0.4×	11	437

Countries citing papers authored by Koji Ezumi

Since Specialization

Citations

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

Fields of papers citing papers by Koji Ezumi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koji Ezumi

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

All Works

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9 of 9 papers shown

Hasuike, Yasunori, Takahiko Tanigawa, Masaharu Yamada, et al.. (2008). [A case report-advanced pancreas cancer with liver and lung metastases well controlled over one year by combination therapy with systemic chemotherapy, radiation and hepatic arterial infusion in an outpatient setting].. PubMed. 35(12). 2117–9. 1 indexed citations

Yamamoto, Hirofumi, Yutaka Takeda, Koji Ezumi, et al.. (2008). Overexpression of connexin 26 in carcinoma of the pancreas. Oncology Reports. 19(3). 627–31. 24 indexed citations

Ezumi, Koji, Hirofumi Yamamoto, Kohei Murata, et al.. (2008). Aberrant Expression of Connexin 26 Is Associated with Lung Metastasis of Colorectal Cancer. Clinical Cancer Research. 14(3). 677–684. 66 indexed citations

Seshimo, Iwao, Hirofumi Yamamoto, Chew Yee Ngan, et al.. (2007). Stromal Myofibroblasts Predict Disease Recurrence for Colorectal Cancer. Clinical Cancer Research. 13(7). 2082–2090. 294 indexed citations

Ngan, Chew Yee, Hirofumi Yamamoto, Iwao Seshimo, et al.. (2007). A multivariate analysis of adhesion molecules expression in assessment of colorectal cancer. Journal of Surgical Oncology. 95(8). 652–662. 65 indexed citations

Fujie, Yujiro, Masataka Ikeda, Iwao Seshimo, et al.. (2006). Complete Response of Highly Advanced Colon Cancer with Multiple Lymph Node Metastases to Irinotecan Combined with UFT: Report of a Case. Surgery Today. 36(12). 1133–1138. 6 indexed citations

Fujie, Yujiro, Hirofumi Yamamoto, Chew Yee Ngan, et al.. (2005). Oxaliplatin, a Potent Inhibitor of Survivin, Enhances Paclitaxel-induced Apoptosis and Mitotic Catastrophe in Colon Cancer Cells. Japanese Journal of Clinical Oncology. 35(8). 453–463. 64 indexed citations

Ishida, Hideyuki, Hideaki Miwa, Masayuki Tatsuta, et al.. (2003). Ki-67 and CEA expression as prognostic markers in Dukes' C colorectal cancer. Cancer Letters. 207(1). 109–115. 44 indexed citations

Ishida, Hideyuki, Hiroshi Furukawa, Masayuki Tatsuta, et al.. (2002). The Relationship between the Number of Metastatic Lymph Nodes and Prognosis of Patients with Dukes C Colon Cancer. The Japanese Journal of Gastroenterological Surgery. 35(4). 369–373. 2 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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