Yusuke Kobayashi

5.4k total citations
232 papers, 3.4k citations indexed

About

Yusuke Kobayashi is a scholar working on Molecular Biology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Yusuke Kobayashi has authored 232 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 45 papers in Surgery and 42 papers in Pathology and Forensic Medicine. Recurrent topics in Yusuke Kobayashi's work include Genetic factors in colorectal cancer (26 papers), Endometrial and Cervical Cancer Treatments (24 papers) and Ovarian cancer diagnosis and treatment (21 papers). Yusuke Kobayashi is often cited by papers focused on Genetic factors in colorectal cancer (26 papers), Endometrial and Cervical Cancer Treatments (24 papers) and Ovarian cancer diagnosis and treatment (21 papers). Yusuke Kobayashi collaborates with scholars based in Japan, United States and United Kingdom. Yusuke Kobayashi's co-authors include Kouji Banno, Daisuke Aoki, Eiichiro Tominaga, Megumi Yanokura, Kenta Masuda, N. IKEKAWA, Arisa Ueki, Iori Kisu, DeLuca Hf and Thomas Amatruda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yusuke Kobayashi

214 papers receiving 3.3k citations

Peers

Yusuke Kobayashi
J. Engel Germany
Bo Chen China
Jian-Guo Geng United States
Anja van de Stolpe Netherlands
Jeffrey R. Bender United States
Yusuke Kobayashi
Citations per year, relative to Yusuke Kobayashi Yusuke Kobayashi (= 1×) peers Tilman T. Rau

Countries citing papers authored by Yusuke Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusuke Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Yusuke Kobayashi. A scholar is included among the top collaborators of Yusuke Kobayashi 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 Yusuke Kobayashi. Yusuke Kobayashi 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.
Yanazume, Shintaro, et al.. (2025). Validation of objective performance metrics via an intelligent medical network in gynecological oncology robotic surgery. Japanese Journal of Clinical Oncology. 55(6). 588–593.
2.
Tanioka, Daisuke, et al.. (2025). Early Postoperative Predictors of Remission After Transsphenoidal Surgery in Acromegaly: Introduction of the PARS. Journal of the Endocrine Society. 10(1). bvaf207–bvaf207. 1 indexed citations
3.
Sakaue, Tomohisa, Miho Kawaida, Nobuyuki Onishi, et al.. (2024). Schlafen 11 further sensitizes BRCA-deficient cells to PARP inhibitors through single-strand DNA gap accumulation behind replication forks. Oncogene. 43(32). 2475–2489. 8 indexed citations
4.
Fujita, Kyohei, Keigo Shigeta, Kenji Yamada, et al.. (2024). Postoperative Time-of-Flight Magnetic Resonance Angiography Classification is a Predictor of Postoperative Recanalization of Unruptured Cerebral Aneurysms. World Neurosurgery. 194. 123496–123496.
5.
Fujita, Daisuke, Yusuke Kobayashi, Tsuyoshi Sukenari, et al.. (2024). Deep learning-based osteochondritis dissecans detection in ultrasound images with humeral capitellum localization. International Journal of Computer Assisted Radiology and Surgery. 19(11). 2143–2152. 6 indexed citations
6.
Tanabe, Yuki, et al.. (2024). Coronary computed tomography angiography for clinical practice. Japanese Journal of Radiology. 42(6). 555–580. 6 indexed citations
8.
Chiyoda, Tatsuyuki, Kohei Nakamura, Kensuke Sakai, et al.. (2023). Clinical availability and characteristics of multigene panel testing for recurrent/advanced gynecologic cancer. International Journal of Clinical Oncology. 28(11). 1554–1562. 1 indexed citations
9.
Chiyoda, Tatsuyuki, Mio Takahashi, Kensuke Sakai, et al.. (2022). Efficacy and safety of olaparib maintenance monotherapy for Japanese patients with platinum-sensitive relapsed ovarian, fallopian tube, and primary peritoneal cancer. International Journal of Clinical Oncology. 27(10). 1644–1650. 5 indexed citations
10.
Yamagami, Wataru, Miho Kawaida, Kensuke Sakai, et al.. (2022). Evaluation of the role of intraoperative frozen section and magnetic resonance imaging in endometrial cancer. International Journal of Gynecology & Obstetrics. 160(2). 554–562. 2 indexed citations
11.
Kobayashi, Yusuke, Kenta Masuda, Kazuhiro Takehara, et al.. (2022). Current status of hereditary breast and ovarian cancer practice among gynecologic oncologists in Japan: a nationwide survey by the Japan Society of Gynecologic Oncology (JSGO). Journal of Gynecologic Oncology. 33(5). e61–e61. 3 indexed citations
12.
Iijima, Moito, Noriyuki Okonogi, Nakako Izumi Nakajima, et al.. (2019). Significance of PD-L1 expression in carbon-ion radiotherapy for uterine cervical adeno/adenosquamous carcinoma. Journal of Gynecologic Oncology. 31(2). e19–e19. 28 indexed citations
13.
Kunitomi, Haruko, Yusuke Kobayashi, Ren‐Chin Wu, et al.. (2019). LAMC1 is a prognostic factor and a potential therapeutic target in endometrial cancer. Journal of Gynecologic Oncology. 31(2). e11–e11. 40 indexed citations
14.
Kobayashi, Yusuke, Kouji Banno, Haruko Kunitomi, Eiichiro Tominaga, & Daisuke Aoki. (2018). Current state and outlook for drug repositioning anticipated in the field of ovarian cancer. Journal of Gynecologic Oncology. 30(1). e10–e10. 30 indexed citations
15.
Kobayashi, Yusuke, et al.. (2017). Medical School Hotline: University of Hawai'i John A. Burns School of Medicine Medical Students Assist in Tuberculosis Control in Micronesia.. PubMed. 76(5). 133–134. 1 indexed citations
16.
Kobayashi, Yusuke, Hiroyasu Kashima, Ren‐Chin Wu, et al.. (2015). Mevalonate Pathway Antagonist Suppresses Formation of Serous Tubal Intraepithelial Carcinoma and Ovarian Carcinoma in Mouse Models. Clinical Cancer Research. 21(20). 4652–4662. 49 indexed citations
17.
Ueki, Arisa, Iori Kisu, Kouji Banno, et al.. (2011). Gynecological tumors in patients with Peutz-Jeghers syndrome (PJS). 1(3). 65–69. 8 indexed citations
18.
Kobayashi, Yusuke, Takatsune Shimizu, Hideaki Naoe, et al.. (2011). Establishment of a Choriocarcinoma Model from Immortalized Normal Extravillous Trophoblast Cells Transduced with HRASV12. American Journal Of Pathology. 179(3). 1471–1482. 15 indexed citations
19.
Hirose, Kunitaka, Yusuke Kobayashi, Kazuyuki Matsushita, et al.. (1995). Chemokine gene transfection into tumour cells reduced tumorigenicity in nude mice in association with neutrophilic infiltration. British Journal of Cancer. 72(3). 708–714. 89 indexed citations
20.
Hp, Koeffler, Thomas Amatruda, N. IKEKAWA, Yusuke Kobayashi, & DeLuca Hf. (1984). Induction of macrophage differentiation of human normal and leukemic myeloid stem cells by 1,25-dihydroxyvitamin D3 and its fluorinated analogues.. PubMed. 44(12 Pt 1). 5624–8. 193 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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