Ryuichi Kudo

3.4k total citations
98 papers, 2.8k citations indexed

About

Ryuichi Kudo is a scholar working on Molecular Biology, Reproductive Medicine and Obstetrics and Gynecology. According to data from OpenAlex, Ryuichi Kudo has authored 98 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 28 papers in Reproductive Medicine and 23 papers in Obstetrics and Gynecology. Recurrent topics in Ryuichi Kudo's work include Ovarian cancer diagnosis and treatment (20 papers), Endometrial and Cervical Cancer Treatments (14 papers) and Uterine Myomas and Treatments (10 papers). Ryuichi Kudo is often cited by papers focused on Ovarian cancer diagnosis and treatment (20 papers), Endometrial and Cervical Cancer Treatments (14 papers) and Uterine Myomas and Treatments (10 papers). Ryuichi Kudo collaborates with scholars based in Japan, United States and France. Ryuichi Kudo's co-authors include Satoru Sagae, Tsuyoshi Saito, Kanji Kobayashi, Yoshihiro Nishioka, Hisanobu Mizumoto, Eiki Ito, Takashi Tokino, Shinichi Ishioka, Akira Nishikawa and Yasuhiro Udagawa and has published in prestigious journals such as Cancer, Oncogene and Clinical Cancer Research.

In The Last Decade

Ryuichi Kudo

97 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryuichi Kudo Japan 29 1.1k 962 845 600 483 98 2.8k
Masaki Inoue Japan 27 934 0.9× 394 0.4× 515 0.6× 301 0.5× 503 1.0× 91 2.4k
Eliana Bignotti Italy 27 754 0.7× 397 0.4× 650 0.8× 456 0.8× 578 1.2× 67 2.3k
Elke A. Jarboe United States 27 635 0.6× 815 0.8× 1.3k 1.5× 283 0.5× 537 1.1× 70 2.5k
Massimo Mascolo Italy 35 996 0.9× 858 0.9× 655 0.8× 353 0.6× 695 1.4× 161 3.1k
Janice M. Lage United States 39 622 0.6× 778 0.8× 760 0.9× 223 0.4× 394 0.8× 98 3.5k
Randall K. Gibb United States 31 600 0.6× 1.0k 1.1× 899 1.1× 467 0.8× 732 1.5× 64 2.7k
Ami Fishman Israel 27 529 0.5× 729 0.8× 1.1k 1.3× 320 0.5× 485 1.0× 121 2.5k
Nilsa C. Ramirez United States 20 802 0.8× 517 0.5× 547 0.6× 615 1.0× 899 1.9× 45 2.4k
Ivo Meinhold‐Heerlein Germany 27 800 0.8× 589 0.6× 956 1.1× 407 0.7× 528 1.1× 133 2.5k
Kimio Ushijima Japan 28 756 0.7× 1.2k 1.3× 1.4k 1.7× 313 0.5× 850 1.8× 159 3.2k

Countries citing papers authored by Ryuichi Kudo

Since Specialization
Citations

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

Fields of papers citing papers by Ryuichi Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryuichi Kudo

This figure shows the co-authorship network connecting the top 25 collaborators of Ryuichi Kudo. A scholar is included among the top collaborators of Ryuichi Kudo 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 Ryuichi Kudo. Ryuichi Kudo 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.
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Toyota, Minoru, Yasushi Sasaki, Toshiharu Yamashita, et al.. (2004). Identification of SCN3B as a novel p53-inducible proapoptotic gene. Oncogene. 23(47). 7791–7798. 58 indexed citations
3.
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Saito, Tsuyoshi, et al.. (2004). Overexpression of estrogen receptor-α gene suppresses gap junctional intercellular communication in endometrial carcinoma cells. Oncogene. 23(5). 1109–1116. 21 indexed citations
5.
Numazaki, Kei, et al.. (2003). Frequency of human cytomegalovirus‐specific T cells during pregnancy determined by intracellular cytokine staining. Journal of Medical Virology. 71(4). 527–531. 11 indexed citations
6.
Nishikawa, Akira, et al.. (2001). Conservative vaginal surgery for cervical pregnancy. BJOG An International Journal of Obstetrics & Gynaecology. 108(8). 888–889. 2 indexed citations
7.
Yamamoto, Hiroyuki, Satoshi Nishikawa, Takuhiro Hayashi, Satoru Sagae, & Ryuichi Kudo. (2001). Antenatal Diagnosis of Prune Belly Syndrome at 11 Weeks of Gestation. Journal of obstetrics and gynaecology research. 27(1). 37–40. 6 indexed citations
8.
Kiya, Tamotsu, Toshiaki Endo, Yoshimitsu Kitajima, et al.. (1999). The Effects of Growth Hormone on Corpus Luteum of Superovulated Rats. Endocrine Research. 25(2). 179–193. 10 indexed citations
9.
Sagae, Satoru, Kanji Kobayashi, Yoshihiro Nishioka, et al.. (1999). Mutational Analysis of β‐Catenin Gene in Japanese Ovarian Carcinomas: Frequent Mutations in Endometrioid Carcinomas. Japanese Journal of Cancer Research. 90(5). 510–515. 63 indexed citations
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Sagae, Satoru, et al.. (1998). Effects of Granisetron and Its Combination with Dexamethasone on Cisplatin-Induced Delayed Emesis in the Ferret. General Pharmacology The Vascular System. 31(5). 775–781. 23 indexed citations
12.
Saito, Tsuyoshi, Achim Schneider, N. Martel, et al.. (1997). Proliferation-Associated Regulation of Telomerase Activity in Human Endometrium and Its Potential Implication in Early Cancer Diagnosis. Biochemical and Biophysical Research Communications. 231(3). 610–614. 66 indexed citations
13.
Kobayashi, Kanji, Mieko Matsushima, S. Koi, et al.. (1996). Mutational Analysis of Mismatch Repair Genes, hMLH1 and hMSH2, in Sporadic Endometrial Carcinomas with Microsatellite Instability. Japanese Journal of Cancer Research. 87(2). 141–145. 59 indexed citations
14.
Kobayashi, Kanji, Satoru Sagae, Ryuichi Kudo, et al.. (1995). Microsatellite instability in endometrial carcinomas: Frequent replication errors in tumors of early onset and/or of poorly differentiated type. Genes Chromosomes and Cancer. 14(2). 128–132. 86 indexed citations
15.
Kudo, Ryuichi, et al.. (1992). 5-Lipoxygenase Inhibitors Isolated from the Mushroom Boletopsis leucomelas (Pers.) Fayod.. Chemical and Pharmaceutical Bulletin. 40(12). 3194–3196. 34 indexed citations
16.
Kudo, Ryuichi, et al.. (1987). Morphologic changes of cancerous ascitic cells induced by anticancer drug therapy. Five cases reports of ovarian and endometrial cancers.. The Journal of the Japanese Society of Clinical Cytology. 26(1). 134–140. 1 indexed citations
17.
Kanda, Yuji, et al.. (1987). The mechanism of the appearance of ovarian cancer cells in cervicovaginal and endometrial smear.. The Journal of the Japanese Society of Clinical Cytology. 26(6). 1027–1029. 1 indexed citations
18.
Ohno, Mitsuharu, Hiroyuki Yamamoto, Yuji Kanda, et al.. (1986). Cervicovaginal and endometrial smear of ovarial cancer.. The Journal of the Japanese Society of Clinical Cytology. 25(1). 87–93.
19.
Sakai, Kiyoshi, et al.. (1986). A case report of so called "carcinoid tumor of the uterine cervix".. The Journal of the Japanese Society of Clinical Cytology. 25(4). 808–815. 5 indexed citations
20.
Kudo, Ryuichi, et al.. (1973). The electron microscopic and cytological study on the mixed mesodermal tumor of the corpus uteri. The Journal of the Japanese Society of Clinical Cytology. 12(1). 1–11. 1 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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