Naka Hattori
- Molecular Biology top 5%
- Genetics top 5%
- Public Health, Environmental and Occupational Health top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Oncology
- Co-authors
- Kunio ShiotaSatoshi TanakaJun OhganeKoichiro NishinoNaoko HattoriShintaro YagiTakuya ImamuraYasushi Kogo
- Topics
- Epigenetics and DNA Methylation (25 papers)Cancer-related gene regulation (9 papers)Genetic Syndromes and Imprinting (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryCurrent Biology
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Naka Hattori
55 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 2.2k
- Genetics 707
- Public Health, Environmental and Occupational Health 484
- Pediatrics, Perinatology and Child Health 346
- Oncology 199
Countries citing papers authored by Naka Hattori
This map shows the geographic impact of Naka Hattori'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 Naka Hattori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naka Hattori more than expected).
Fields of papers citing papers by Naka Hattori
This network shows the impact of papers produced by Naka Hattori. 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 Naka Hattori. The network helps show where Naka Hattori may publish in the future.
Co-authorship network of co-authors of Naka Hattori
This figure shows the co-authorship network connecting the top 25 collaborators of Naka Hattori. A scholar is included among the top collaborators of Naka Hattori 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 Naka Hattori. Naka Hattori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 61 | |
| 2 | 14 | |
| 3 | 24 | |
| 4 | 22 | |
| 5 | 1 | |
| 6 | 76 | |
| 7 | 70 | |
| 8 | 24 | |
| 9 | 326 | |
| 10 | 51 | |
| 11 | 9 | |
| 12 | 170 | |
| 13 | 100 | |
| 14 | 6 | |
| 15 | 33 | |
| 16 | 1 | |
| 17 | 64 | |
| 18 | PRODUCTION OF RECOMBINANT PLACENTAL LACTOGEN-I MOSAIC (RPL-IM) BY A BACULOVIRUS SYSTEM | 2 |
| 19 | 1 | |
| 20 | 13 |
About Naka Hattori
Naka Hattori is a scholar working on Molecular Biology, Genetics and Obstetrics and Gynecology, having authored 55 papers that have together received 2.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (25 papers), Cancer-related gene regulation (9 papers) and Genetic Syndromes and Imprinting (7 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Genetics (707 citations) and Obstetrics and Gynecology (168 citations). Naka Hattori has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Kunio Shiota, Satoshi Tanaka, Jun Ohgane, Koichiro Nishino, Naoko Hattori, Shintaro Yagi, Takuya Imamura, Yasushi Kogo, Ryuzo Yanagimachi and Teruhiko Wakayama. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Current Biology.
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.