Takahiro Arima
- Molecular Biology top 5%
- Pediatrics, Perinatology and Child Health top 0.5%
- Genetics top 1%
- Obstetrics and Gynecology top 0.5%
- Public Health, Environmental and Occupational Health top 2%
- Co-authors
- Hiroaki OkaeHitoshi HiuraNobuo YaegashiAkiko SatôNorio WakeMikita SuyamaHiroyuki SasakiTakafumi Utsunomiya
- Topics
- Epigenetics and DNA Methylation (36 papers)Prenatal Screening and Diagnostics (34 papers)Genetic Syndromes and Imprinting (33 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Takahiro Arima
125 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 2.4k
- Pediatrics, Perinatology and Child Health 1.8k
- Genetics 1.2k
- Obstetrics and Gynecology 1.0k
- Public Health, Environmental and Occupational Health 847
Countries citing papers authored by Takahiro Arima
This map shows the geographic impact of Takahiro Arima'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 Takahiro Arima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takahiro Arima more than expected).
Fields of papers citing papers by Takahiro Arima
This network shows the impact of papers produced by Takahiro Arima. 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 Takahiro Arima. The network helps show where Takahiro Arima may publish in the future.
Co-authorship network of co-authors of Takahiro Arima
This figure shows the co-authorship network connecting the top 25 collaborators of Takahiro Arima. A scholar is included among the top collaborators of Takahiro Arima 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 Takahiro Arima. Takahiro Arima 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 | Modeling embryo-endometrial interface recapitulating human embryo implantationbreakdown → | 51 |
| 3 | 9 | |
| 4 | 18 | |
| 5 | 2 | |
| 6 | 17 | |
| 7 | 17 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 40 | |
| 11 | 10 | |
| 12 | 21 | |
| 13 | 12 | |
| 14 | 4 | |
| 15 | 16 | |
| 16 | 10 | |
| 17 | 14 | |
| 18 | 14 | |
| 19 | 23 | |
| 20 | 42 |
About Takahiro Arima
Takahiro Arima is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Genetics, having authored 137 papers that have together received 4.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (36 papers), Prenatal Screening and Diagnostics (34 papers) and Genetic Syndromes and Imprinting (33 papers). The work is most often cited by research in Obstetrics and Gynecology (1.0k citations), Pediatrics, Perinatology and Child Health (1.8k citations) and Reproductive Medicine (639 citations). Takahiro Arima has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hiroaki Okae, Hitoshi Hiura, Nobuo Yaegashi, Akiko Satô, Norio Wake, Mikita Suyama, Hiroyuki Sasaki, Takafumi Utsunomiya, Hidehiro Toh and Tetsuya Sato. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids 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.