Kazuto Nakamura
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 5%
- Reproductive Medicine top 1%
- Epidemiology top 5%
- Co-authors
- Kenneth WalshJosé J. FusterTakashi MinegishiMario AscoliYoshito IbukiKaoru MiyamotoMasao IgarashiMasataka Sata
- Topics
- Receptor Mechanisms and Signaling (15 papers)Endometrial and Cervical Cancer Treatments (12 papers)Hypothalamic control of reproductive hormones (12 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Kazuto Nakamura
135 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.8k
- Cardiology and Cardiovascular Medicine 1.1k
- Surgery 885
- Reproductive Medicine 728
- Epidemiology 697
Countries citing papers authored by Kazuto Nakamura
This map shows the geographic impact of Kazuto Nakamura'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 Kazuto Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuto Nakamura more than expected).
Fields of papers citing papers by Kazuto Nakamura
This network shows the impact of papers produced by Kazuto Nakamura. 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 Kazuto Nakamura. The network helps show where Kazuto Nakamura may publish in the future.
Co-authorship network of co-authors of Kazuto Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuto Nakamura. A scholar is included among the top collaborators of Kazuto Nakamura 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 Kazuto Nakamura. Kazuto Nakamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 7 | |
| 11 | 11 | |
| 12 | 150 | |
| 13 | 388 | |
| 14 | 6 | |
| 15 | 11 | |
| 16 | A case of acute pancreatitis caused by exfoliated cancer cells derived from gallbladder carcinomas | 1 |
| 17 | 50 | |
| 18 | 9 | |
| 19 | 11 | |
| 20 | A photogeologic method for determining the direction of horizontal dilation from patterns of en echelon fracturing | 5 |
About Kazuto Nakamura
Kazuto Nakamura is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Cardiology and Cardiovascular Medicine, having authored 145 papers that have together received 4.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (15 papers), Endometrial and Cervical Cancer Treatments (12 papers) and Hypothalamic control of reproductive hormones (12 papers). The work is most often cited by research in Reproductive Medicine (728 citations), Cardiology and Cardiovascular Medicine (1.1k citations) and Geriatrics and Gerontology (138 citations). Kazuto Nakamura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kenneth Walsh, José J. Fuster, Takashi Minegishi, Mario Ascoli, Yoshito Ibuki, Kaoru Miyamoto, Masao Igarashi, Masataka Sata, Xuebo Liu and Yoshihisa Hasegawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.