Hitoo Nakano
- Obstetrics and Gynecology top 0.5%
- Molecular Biology top 10%
- Pediatrics, Perinatology and Child Health top 1%
- Oncology top 5%
- Reproductive Medicine top 0.5%
- Co-authors
- Toshio HirakawaTsunehisa KakuKiyomi TsukimoriKenzo SonodaNaoki TsukamotoToshiharu KamuraShoji SatohTakashi Koyanagi
- Topics
- Pregnancy and preeclampsia studies (25 papers)Ovarian cancer diagnosis and treatment (22 papers)Neonatal Respiratory Health Research (20 papers)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Hitoo Nakano
200 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 135
- Obstetrics and Gynecology 1.2k
- Molecular Biology 1.0k
- Pediatrics, Perinatology and Child Health 901
- Oncology 882
- Reproductive Medicine 846
Countries citing papers authored by Hitoo Nakano
This map shows the geographic impact of Hitoo Nakano'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 Hitoo Nakano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoo Nakano more than expected).
Fields of papers citing papers by Hitoo Nakano
This network shows the impact of papers produced by Hitoo Nakano. 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 Hitoo Nakano. The network helps show where Hitoo Nakano may publish in the future.
Co-authorship network of co-authors of Hitoo Nakano
This figure shows the co-authorship network connecting the top 25 collaborators of Hitoo Nakano. A scholar is included among the top collaborators of Hitoo Nakano 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 Hitoo Nakano. Hitoo Nakano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | 29 | |
| 6 | 155 | |
| 7 | 4 | |
| 8 | 32 | |
| 9 | 21 | |
| 10 | ATP-binding cassette superfamily transporter gene expression in human primary ovarian carcinoma. | 66 |
| 11 | 8 | |
| 12 | 18 | |
| 13 | 11 | |
| 14 | Fetal Cardiac Isovolumetric Contraction Time : Detection Using Doppler Ultrasound Cardiography | 1 |
| 15 | 22 | |
| 16 | Successful HLA-type Compatible Platelet Transfusion Treatment in Pregnancy Complicated with Myelodysplastic Syndrome : A Case Report | 1 |
| 17 | 26 | |
| 18 | [Two cases of atypical polypoid adenomyoma of the uterus]. | 2 |
| 19 | 13 | |
| 20 | 0 |
About Hitoo Nakano
Hitoo Nakano is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Pediatrics, Perinatology and Child Health, having authored 205 papers that have together received 4.6k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (25 papers), Ovarian cancer diagnosis and treatment (22 papers) and Neonatal Respiratory Health Research (20 papers). The work is most often cited by research in Obstetrics and Gynecology (1.2k citations), Reproductive Medicine (846 citations) and Pediatrics, Perinatology and Child Health (901 citations). Hitoo Nakano has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Toshio Hirakawa, Tsunehisa Kaku, Kiyomi Tsukimori, Kenzo Sonoda, Naoki Tsukamoto, Toshiharu Kamura, Shoji Satoh, Takashi Koyanagi, Satoshi Amada and Hiroaki Kobayashi. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Cancer and Cancer Research.
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.