Kazuko Itoh
Impact in
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
- Nephrology top 5%
Papers in
- Nephrology 14
- Parathyroid Disorders and Treatments 12
- Co-authors
- Atsuo TakanishiMark Barton FrankMassimiliano ZeccaYasuhiko ItohHiroyasu MiwaIkuo KonishiHideaki TAKANOBUPaolo Dario
- Journals
- International Journal of Gynecological Cancer (5 papers)Nephron Experimental Nephrology (3 papers)Breast Cancer (3 papers)American Journal of Kidney Diseases (3 papers)International Journal of Gynecological Pathology (2 papers)
- Partner nations
- JapanItalyUnited States
In The Last Decade
Kazuko Itoh
99 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 126
- Reproductive Medicine 191
- Nephrology 155
- Social Psychology 416
- Obstetrics and Gynecology 136
- Human-Computer Interaction 91
Countries citing papers authored by Kazuko Itoh
This map shows the geographic impact of Kazuko Itoh'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 Kazuko Itoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuko Itoh more than expected).
Fields of papers citing papers by Kazuko Itoh
This network shows the impact of papers produced by Kazuko Itoh. 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 Kazuko Itoh. The network helps show where Kazuko Itoh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kazuko Itoh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 1 | |
| 2 | 2013 | 1 | |
| 3 | 2007 | 5 | |
| 4 | 2006 | 4 | |
| 5 | 2006 | 2 | |
| 6 | 2006 | 9 | |
| 7 | Behavior generation of humanoid robots depending on mood | 2006 | 4 |
| 8 | 2005 | 10 | |
| 9 | 2005 | 31 | |
| 10 | 2005 | 6 | |
| 11 | 2004 | 3 | |
| 12 | 2004 | 29 | |
| 13 | 2004 | 36 | |
| 14 | 2003 | 76 | |
| 15 | 2003 | 18 | |
| 16 | 2000 | 6 | |
| 17 | 2000 | 3 | |
| 18 | 1998 | 1 | |
| 19 | The mapping of the human 52-kD Ro/SSA autoantigen gene to human chromosome 11, and its polymorphisms. | 1993 | 59 |
| 20 | 1993 | 33 |
About Kazuko Itoh
Kazuko Itoh is a scholar working on Nephrology, Human-Computer Interaction, Reproductive Medicine, Social Psychology and Obstetrics and Gynecology, having authored 102 papers that have together received 1.9k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (17 papers), Parathyroid Disorders and Treatments (12 papers), Augmented Reality Applications (7 papers), Surgical Simulation and Training (7 papers), Ovarian cancer diagnosis and treatment (6 papers), Robotics and Automated Systems (6 papers), Endometrial and Cervical Cancer Treatments (6 papers) and Robotic Locomotion and Control (6 papers). The work is most often cited by research in Reproductive Medicine (191 citations), Nephrology (155 citations), Social Psychology (416 citations), Obstetrics and Gynecology (136 citations) and Human-Computer Interaction (91 citations). Kazuko Itoh has collaborated with scholars based in Japan, Italy and United States. Frequent co-authors include Atsuo Takanishi, Mark Barton Frank, Massimiliano Zecca, Yasuhiko Itoh, Hiroyasu Miwa, Ikuo Konishi, Hideaki TAKANOBU, Paolo Dario, Stefano Roccella and Akiko Horiuchi. Their work appears in journals such as International Journal of Gynecological Cancer, Nephron Experimental Nephrology, Breast Cancer, American Journal of Kidney Diseases and International Journal of Gynecological Pathology.
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.