R. Kudo

1.2k total citations
70 papers, 908 citations indexed

About

R. Kudo is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Electrical and Electronic Engineering. According to data from OpenAlex, R. Kudo has authored 70 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Obstetrics and Gynecology, 10 papers in Reproductive Medicine and 10 papers in Electrical and Electronic Engineering. Recurrent topics in R. Kudo's work include Endometrial and Cervical Cancer Treatments (9 papers), Optical measurement and interference techniques (5 papers) and Near-Field Optical Microscopy (5 papers). R. Kudo is often cited by papers focused on Endometrial and Cervical Cancer Treatments (9 papers), Optical measurement and interference techniques (5 papers) and Near-Field Optical Microscopy (5 papers). R. Kudo collaborates with scholars based in Japan, Finland and United States. R. Kudo's co-authors include Satoru Sagae, Junko Saito, Hirohisa Saito, A Nishikawa, Kari Punnonen, R. Punnonen, Markku Ahotupa, Kazuaki Asaishi, Hiroko Saito and J. Inazawa and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and Cancer.

In The Last Decade

R. Kudo

63 papers receiving 875 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Kudo Japan 15 289 179 148 124 120 70 908
Yoshiharu Saito Japan 19 302 1.0× 350 2.0× 72 0.5× 90 0.7× 105 0.9× 60 1.1k
Dongyong Yang China 19 327 1.1× 147 0.8× 47 0.3× 222 1.8× 111 0.9× 61 941
Matthew Simms United Kingdom 17 409 1.4× 60 0.3× 84 0.6× 184 1.5× 271 2.3× 41 1.2k
Masashi Fujii Japan 18 349 1.2× 35 0.2× 258 1.7× 96 0.8× 187 1.6× 98 1.3k
Lingyun Tang China 16 304 1.1× 112 0.6× 53 0.4× 81 0.7× 123 1.0× 47 925
Jiang Wang China 17 311 1.1× 29 0.2× 65 0.4× 70 0.6× 279 2.3× 74 1.0k
Yue Zhou China 20 477 1.7× 35 0.2× 80 0.5× 236 1.9× 83 0.7× 60 1.0k
Roza Motavalli Iran 15 374 1.3× 41 0.2× 25 0.2× 76 0.6× 539 4.5× 44 1.2k
Takayuki Kamei Japan 15 404 1.4× 37 0.2× 24 0.2× 56 0.5× 57 0.5× 49 845
Tianfu Li China 15 469 1.6× 65 0.4× 33 0.2× 209 1.7× 109 0.9× 44 853

Countries citing papers authored by R. Kudo

Since Specialization
Citations

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

Fields of papers citing papers by R. Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Kudo

This figure shows the co-authorship network connecting the top 25 collaborators of R. Kudo. A scholar is included among the top collaborators of R. 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 R. Kudo. R. 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.
Katashima, Takuya, R. Kudo, Mitsuru Naito, et al.. (2022). Experimental Comparison of Bond Lifetime and Viscoelastic Relaxation in Transient Networks with Well-Controlled Structures. ACS Macro Letters. 11(6). 753–759. 13 indexed citations
2.
Manaka, Dai, R. Kudo, Naoya Sasaki, et al.. (2020). P-125 Radiomic prediction model for pathological responses of neoadjuvant chemotherapy with S-1 plus oxaliplatin (G-SOX) in clinical stage III gastric cancer. Annals of Oncology. 31. S130–S130. 1 indexed citations
3.
4.
Kudo, R., Shin Usuki, Satoru Takahashi, & Kiyoshi Takamasu. (2011). Simulation-Based Analysis of Influence of Error on Super-Resolution Optical Inspection. International Journal of Automation Technology. 5(2). 167–172.
5.
Nishimori, Kentaro, et al.. (2006). Channel Capacity Measurement of 8<formula formulatype="inline"><tex>$\,\times\,$</tex> </formula>2 MIMO Transmission by Antenna Configurations in an Actual Cellular Environment. IEEE Transactions on Antennas and Propagation. 54(11). 3285–3291. 34 indexed citations
6.
Endo, Toshiaki, Kengo Manase, Kunihiko Nagasawa, et al.. (2005). Elevation of Both Cyclooxygenase-2 and Prostaglandin E2 Receptor EP3 Expressions in Rat Placenta after Uterine Artery Ischemia–Reperfusion. Placenta. 27(4-5). 395–401. 20 indexed citations
7.
Saito, Tsuyoshi, et al.. (2004). Neoadjuvant chemotherapy with cisplatin, aclacinomycin A, and mitomycin C for cervical adenocarcinoma - a preliminary study. International Journal of Gynecological Cancer. 14(3). 483–490. 7 indexed citations
8.
Saito, Tsuyoshi, Hisanobu Mizumoto, Tsuyoshi Baba, et al.. (2002). Imaging studies in patients with malignant melanoma in the female genital tract. International Journal of Gynecological Cancer. 12(5). 506–509. 6 indexed citations
9.
Satō, Fumio, Hideaki Miyake, Motoi Nishi, Mitsuru Mori, & R. Kudo. (2000). Early Normal Menstrual Cycle Pattern and the Development of Uterine Leiomyomas. Journal of Women s Health & Gender-Based Medicine. 9(3). 299–302. 13 indexed citations
10.
Nishikawa, A, Toshio Fujimoto, Masanori Iwasaki, et al.. (2000). p53 Polymorphism (codon-72) has no correlation with the development and the clinical features of cervical cancer. International Journal of Gynecological Cancer. 10(5). 402–407. 36 indexed citations
11.
Kobayashi, Ko, et al.. (1999). Genetic analysis of familial and multiple malignancies of endometrial cancer. International Journal of Gynecology & Obstetrics. 66(2). 149–153. 1 indexed citations
12.
13.
Endo, Toshiaki, Tomohide Goto, Tamotsu Kiya, et al.. (1998). Effects of estradiol and an aromatase inhibitor on progesterone production in human cultured luteal cells. Gynecological Endocrinology. 12(1). 29–34. 18 indexed citations
14.
Kiya, Tamotsu, Toshiaki Endo, Tomohide Goto, et al.. (1998). Apoptosis and PCNA expression induced by prolactin in structural involution of the rat corpus luteum. Journal of Endocrinological Investigation. 21(5). 276–283. 23 indexed citations
15.
Nishikawa, A, et al.. (1998). Full-term interstitial pregnancy with live birth. International Journal of Gynecology & Obstetrics. 63(1). 57–58. 7 indexed citations
16.
Punnonen, Kari, et al.. (1994). Antioxidant enzyme activities and oxidative stress in human breast cancer. Journal of Cancer Research and Clinical Oncology. 120(6). 374–377. 99 indexed citations
17.
Kudo, R.. (1992). Cervical Adenocarcinoma. Current topics in pathology. 85. 81–111. 3 indexed citations
18.
Sagae, Satoru, R. Kudo, Noboru Kuzumaki, et al.. (1990). Ras oncogene expression and progression in intraepithelial neoplasia of the uterine cervix. Cancer. 66(2). 295–301. 32 indexed citations
19.
Punnonen, R., Harri Jokela, R. Kudo, et al.. (1987). Serum lipids in Finnish and Japanese postmenopausal women. Atherosclerosis. 68(3). 241–247. 8 indexed citations
20.
Kudo, R., et al.. (1970). [Administration of Bleomycin in cancer of the female sex organs and the follow-up results].. PubMed. 19(11). 1115–28. 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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