Mitsutake Yano

705 total citations
54 papers, 455 citations indexed

About

Mitsutake Yano is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Oncology. According to data from OpenAlex, Mitsutake Yano has authored 54 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Reproductive Medicine, 16 papers in Obstetrics and Gynecology and 15 papers in Oncology. Recurrent topics in Mitsutake Yano's work include Ovarian cancer diagnosis and treatment (11 papers), Endometrial and Cervical Cancer Treatments (10 papers) and Uterine Myomas and Treatments (9 papers). Mitsutake Yano is often cited by papers focused on Ovarian cancer diagnosis and treatment (11 papers), Endometrial and Cervical Cancer Treatments (10 papers) and Uterine Myomas and Treatments (9 papers). Mitsutake Yano collaborates with scholars based in Japan, Taiwan and United States. Mitsutake Yano's co-authors include Masanori Yasuda, Kosei Hasegawa, Hisashi Narahara, Naoki Ogane, Masaki Miyazawa, Eito Kozawa, Kaei Nasu, Koji Nagata, Daisuke Shintani and Yasuhiro Ebihara and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Mitsutake Yano

45 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitsutake Yano Japan 13 174 154 152 148 91 54 455
Christopher McCann United Kingdom 11 187 1.1× 117 0.8× 136 0.9× 80 0.5× 71 0.8× 20 395
Boer Shan China 12 81 0.5× 105 0.7× 149 1.0× 145 1.0× 84 0.9× 36 358
Jeroen Depreeuw Belgium 9 129 0.7× 116 0.8× 199 1.3× 289 2.0× 151 1.7× 13 491
Daisuke Shintani Japan 10 84 0.5× 82 0.5× 129 0.8× 77 0.5× 76 0.8× 34 293
Lingfang Xia China 15 118 0.7× 172 1.1× 170 1.1× 205 1.4× 64 0.7× 35 485
Hualei Bu China 11 173 1.0× 118 0.8× 102 0.7× 38 0.3× 91 1.0× 24 354
Maria M. Rubinstein United States 10 82 0.5× 105 0.7× 107 0.7× 124 0.8× 50 0.5× 26 304
Giuseppa Maltese Italy 11 65 0.4× 115 0.7× 215 1.4× 203 1.4× 43 0.5× 25 394
Liudmila Velikokhatnaya United States 6 113 0.6× 95 0.6× 166 1.1× 83 0.6× 76 0.8× 7 359
K. Oliva Australia 8 120 0.7× 164 1.1× 46 0.3× 80 0.5× 67 0.7× 13 431

Countries citing papers authored by Mitsutake Yano

Since Specialization
Citations

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

Fields of papers citing papers by Mitsutake Yano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsutake Yano

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsutake Yano. A scholar is included among the top collaborators of Mitsutake Yano 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 Mitsutake Yano. Mitsutake Yano 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
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2.
Sato, Sho, Daisuke Shintani, Ryuichi Nakamura, et al.. (2025). Human epidermal growth factor receptor 3 expression in patients with epithelial ovarian cancer: a potential target for ovarian mucinous and clear cell carcinoma. International Journal of Clinical Oncology. 30(4). 805–813.
3.
Yasuda, Masanori, et al.. (2025). Histological classification of uterine cervical adenocarcinomas: Its alteration and current status. Journal of obstetrics and gynaecology research. 51(4). e16287–e16287.
4.
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Yano, Mitsutake, et al.. (2024). Usage of nivolumab and ipilimumab for recurrent or advanced malignant vaginal melanoma: a two-case series. Medical Molecular Morphology. 57(2). 83–90. 2 indexed citations
6.
Aoyagi, Yoko, et al.. (2024). Genetic Profiling of Sebaceous Carcinoma Arising from an Ovarian Mature Teratoma: A Case Report. International Journal of Molecular Sciences. 25(12). 6351–6351. 1 indexed citations
7.
Yano, Mitsutake, et al.. (2023). Novel use of immune checkpoint inhibitors for vaginal melanoma: A retrospective study. Journal of Reproductive Immunology. 156. 103888–103888.
8.
Sato, Yusuke, et al.. (2023). Metastasis from follicular lymphoma to an ovarian mature teratoma: a case report of tumor-to-tumor metastasis. Journal of Ovarian Research. 16(1). 106–106. 3 indexed citations
9.
Yano, Mitsutake, et al.. (2023). Lymphocyte-activation gene 3 protein expression in tumor-infiltrating lymphocytes is associated with a poor prognosis of ovarian clear cell carcinoma. Journal of Ovarian Research. 16(1). 93–93. 3 indexed citations
10.
Nishida, Masakazu, et al.. (2022). Robot-assisted surgery for early uterine corpus cancer: assessing the learning curve. European Journal of Gynaecological Oncology.
11.
Yano, Mitsutake, et al.. (2022). Immunohistochemical and molecular analysis of an α-fetoprotein-producing cervical adenocarcinoma with clear cell morphology. Medical Molecular Morphology. 56(1). 20–27. 1 indexed citations
12.
Matsumoto, Harunobu, Kaei Nasu, Ayumi Shikama, et al.. (2021). Pathological processes and pretreatment cytologic diagnosis of neuroendocrine carcinoma of the endometrium: addendum report of the Kansai Clinical Oncology Group/Intergroup study in Japan. Medical Molecular Morphology. 54(3). 237–244. 1 indexed citations
13.
Yano, Mitsutake, et al.. (2020). Uterine intravenous leiomyomatosis with an isolated large metastasis to the right atrium: a case report. Diagnostic Pathology. 15(1). 4–4. 15 indexed citations
14.
Yano, Mitsutake, et al.. (2019). Coexistence of endometrial mesonephric-like adenocarcinoma and endometrioid carcinoma suggests a Müllerian duct lineage: a case report. Diagnostic Pathology. 14(1). 54–54. 44 indexed citations
15.
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Yano, Mitsutake, et al.. (2019). A unique uterine cervical “teratocarcinosarcoma”: a case report. Diagnostic Pathology. 14(1). 122–122. 5 indexed citations
17.
Suzuki, Hiroyuki, Mitsutake Yano, Masaki Miyazawa, et al.. (2019). Association of the hypoxia-inducible factor-1α (HIF-1α) gene polymorphisms with prognosis in ovarian clear cell carcinoma. Journal of Ovarian Research. 12(1). 7–7. 3 indexed citations
18.
Kai, Kentaro, et al.. (2018). Two cesarean deliveries after hemi-hysterectomy due to gestational trophoblastic neoplasia. Taiwanese Journal of Obstetrics and Gynecology. 57(2). 315–318. 1 indexed citations
19.
Yano, Mitsutake, Kaei Nasu, Harunobu Matsumoto, et al.. (2017). Ruptured external iliac artery pseudoaneurysm following surgery for ovarian cancer: A case report and literature review. Journal of obstetrics and gynaecology research. 44(1). 184–186. 3 indexed citations
20.
Hirakawa, Tomoko, Kaei Nasu, Kentaro Kai, et al.. (2014). Wisteria floribunda agglutinin-binding glycan expression is decreased in endometriomata. Reproductive Biology and Endocrinology. 12(1). 100–100. 4 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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