Tatsuya Kanuma

881 total citations
32 papers, 690 citations indexed

About

Tatsuya Kanuma is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Tatsuya Kanuma has authored 32 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Oncology and 9 papers in Epidemiology. Recurrent topics in Tatsuya Kanuma's work include Cervical Cancer and HPV Research (8 papers), Ovarian cancer diagnosis and treatment (6 papers) and Endometrial and Cervical Cancer Treatments (5 papers). Tatsuya Kanuma is often cited by papers focused on Cervical Cancer and HPV Research (8 papers), Ovarian cancer diagnosis and treatment (6 papers) and Endometrial and Cervical Cancer Treatments (5 papers). Tatsuya Kanuma collaborates with scholars based in Japan, Australia and United States. Tatsuya Kanuma's co-authors include Takaaki Sano, Toshio Fukuda, Takashi Minegishi, Tomomi Yoshida, Leri S. Faried, Hiroyuki Kuwano, Ahmad Faried, Norio Wake, Seiichi Takenoshita and Akira Mogi and has published in prestigious journals such as Cancer, British Journal of Cancer and Life Sciences.

In The Last Decade

Tatsuya Kanuma

28 papers receiving 668 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tatsuya Kanuma Japan 16 337 226 209 155 83 32 690
David Heinz United States 15 266 0.8× 286 1.3× 409 2.0× 173 1.1× 32 0.4× 20 973
Tjoung‐Won Park Germany 13 222 0.7× 265 1.2× 168 0.8× 149 1.0× 68 0.8× 21 719
Kouichiro Kawano Japan 17 337 1.0× 95 0.4× 292 1.4× 87 0.6× 67 0.8× 46 798
H Teshima Japan 11 157 0.5× 144 0.6× 97 0.5× 119 0.8× 46 0.6× 49 485
Jasper J.H. Eijsink Netherlands 13 345 1.0× 296 1.3× 125 0.6× 87 0.6× 32 0.4× 19 610
Cynthia Heffron Ireland 12 198 0.6× 220 1.0× 207 1.0× 205 1.3× 54 0.7× 34 619
Louise De Brot Brazil 17 138 0.4× 160 0.7× 174 0.8× 113 0.7× 68 0.8× 52 585
George Vlahos Greece 12 182 0.5× 74 0.3× 274 1.3× 124 0.8× 56 0.7× 22 663
So‐Fan Yim Hong Kong 17 372 1.1× 437 1.9× 125 0.6× 169 1.1× 55 0.7× 32 965
Alessandro Bovicelli Italy 18 165 0.5× 223 1.0× 221 1.1× 97 0.6× 42 0.5× 38 749

Countries citing papers authored by Tatsuya Kanuma

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuya Kanuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuya Kanuma

This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya Kanuma. A scholar is included among the top collaborators of Tatsuya Kanuma 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 Tatsuya Kanuma. Tatsuya Kanuma 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.
Nakamura, Kazuto, et al.. (2023). Utility of vaginal vault cytology in the local recurrence of cervical cancer. BMC Women s Health. 23(1). 186–186.
2.
Nakamura, Kazuto, et al.. (2022). Reassessment of intensive surveillance practices adopted for endometrial cancer survivors. BMC Women s Health. 22(1). 355–355. 2 indexed citations
3.
Nakamura, Kazuto, et al.. (2020). Nadir CA-125 serum levels during neoadjuvant chemotherapy and no residual tumor at interval debulking surgery predict prognosis in advanced stage ovarian cancer. World Journal of Surgical Oncology. 18(1). 200–200. 7 indexed citations
4.
Yoshida, Tomomi, et al.. (2011). Usefulness of CINtec® PLUS p16INK4a/Ki-67 Double-Staining in Cytological Screening of Cervical Cancer. Acta Cytologica. 55(5). 413–420. 20 indexed citations
5.
Yoshida, Tomomi, Takaaki Sano, Nami Takada, et al.. (2010). Comparison of Self-Collected and Clinician-Collected Materials for Cervical Cytology and Human Papillomavirus Genotyping: Analysis by Linear Array Assay. Acta Cytologica. 55(1). 106–112. 7 indexed citations
6.
Yoshida, Tomomi, Takaaki Sano, Tetsunari Oyama, Tatsuya Kanuma, & Toshio Fukuda. (2009). Prevalence, viral load, and physical status of HPV 16 and 18 in cervical adenosquamous carcinoma. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 455(3). 253–259. 22 indexed citations
8.
Nakamura, Kazuto, et al.. (2008). Compartment Syndrome With Thrombosis of Common Iliac Artery After Gynecologic Surgery. Obstetrics and Gynecology. 112(2). 486–488. 9 indexed citations
9.
Yoshida, Tomomi, Takaaki Sano, Tatsuya Kanuma, et al.. (2008). Immunochemical analysis of HPV L1 capsid protein and p16 protein in liquid-based cytology samples from uterine cervical lesions. Cancer. 114(2). 83–88. 46 indexed citations
10.
Yoshida, Tomomi, Takaaki Sano, Tatsuya Kanuma, et al.. (2007). Quantitative real-time polymerase chain reaction analysis of the type distribution, viral load, and physical status of human papillomavirus in liquid-based cytology samples from cervical lesions. International Journal of Gynecological Cancer. 18(1). 121–127. 24 indexed citations
11.
Faried, Leri S., Ahmad Faried, Tatsuya Kanuma, et al.. (2007). Expression of an activated mammalian target of rapamycin in adenocarcinoma of the cervix: A potential biomarker and molecular target therapy. Molecular Carcinogenesis. 47(6). 446–457. 50 indexed citations
12.
Khan, Nasim A., et al.. (2005). Diagnostic accuracy of FDG PET imaging for the detection of recurrent or metastatic gynecologic cancer. Annals of Nuclear Medicine. 19(2). 137–145. 14 indexed citations
13.
14.
Suzuki, Yoshiyuki, et al.. (2004). A case of rhabdomyosarcoma of the vagina in an elderly woman.. PubMed. 25(4). 509–11.
15.
Kanuma, Tatsuya, et al.. (2001). Oestrogen receptor β expression and depth of myometrial invasion in human endometrial cancer. British Journal of Cancer. 84(4). 545–549. 24 indexed citations
16.
Kanuma, Tatsuya, et al.. (2000). Mutation analysis of the hMTH1 gene in sporadic human ovarian cancer.. International Journal of Oncology. 17(3). 467–71. 7 indexed citations
17.
Wang, Dan, Tatsuya Kanuma, Yoshito Ibuki, et al.. (2000). Analysis of specific gene mutations in the transforming growth factor-beta signal transduction pathway in human ovarian cancer.. PubMed. 60(16). 4507–12. 97 indexed citations
18.
Ohsawa, Minoru, et al.. (2000). Effect of 1,25(OH)2D3 on expression of estrogen receptor-alpha mRNA on rat osteosarcoma cell line (ROS 17/2.8). Life Sciences. 66(25). 2465–2472. 1 indexed citations
19.
Kanuma, Tatsuya, Y Ibuki, Norio Wake, et al.. (1999). Mutation analysis of the Smad3 gene in human ovarian cancers.. International Journal of Oncology. 15(5). 949–53. 19 indexed citations
20.
Kanuma, Tatsuya, et al.. (1997). Alterations of the p16INK4A gene in human ovarian cancers. Molecular Carcinogenesis. 18(3). 134–141. 15 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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