Tatsuya Arakaki
- Pediatrics, Perinatology and Child Health top 5%
- Obstetrics and Gynecology top 5%
- Radiology, Nuclear Medicine and Imaging
- Epidemiology
- Public Health, Environmental and Occupational Health
- Co-authors
- Akihiko SekizawaJunichi HasegawaRyu MatsuokaHiroko TakitaMasamitsu NakamuraTomohiro ObaRyuji HamamotoSuguru Yasutomi
- Topics
- Maternal and fetal healthcare (19 papers)Pregnancy and preeclampsia studies (15 papers)Maternal and Perinatal Health Interventions (10 papers)
- Partner nations
- JapanUnited KingdomAustralia
In The Last Decade
Tatsuya Arakaki
50 papers receiving 560 citations
Peers
Comparison fields: 5 of 88
- Pediatrics, Perinatology and Child Health 295
- Obstetrics and Gynecology 192
- Radiology, Nuclear Medicine and Imaging 111
- Epidemiology 88
- Public Health, Environmental and Occupational Health 79
Countries citing papers authored by Tatsuya Arakaki
This map shows the geographic impact of Tatsuya Arakaki'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 Tatsuya Arakaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuya Arakaki more than expected).
Fields of papers citing papers by Tatsuya Arakaki
This network shows the impact of papers produced by Tatsuya Arakaki. 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 Tatsuya Arakaki. The network helps show where Tatsuya Arakaki may publish in the future.
Co-authorship network of co-authors of Tatsuya Arakaki
This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya Arakaki. A scholar is included among the top collaborators of Tatsuya Arakaki 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 Tatsuya Arakaki. Tatsuya Arakaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 22 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | Unsupervised Shadow Detection for Ultrasound Images by Deep Learning | 1 |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 9 | |
| 16 | 9 | |
| 17 | 6 | |
| 18 | 9 | |
| 19 | 11 | |
| 20 | 3 |
About Tatsuya Arakaki
Tatsuya Arakaki is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Health Informatics, having authored 52 papers that have together received 575 indexed citations. Recurring topics across this work include Maternal and fetal healthcare (19 papers), Pregnancy and preeclampsia studies (15 papers) and Maternal and Perinatal Health Interventions (10 papers). The work is most often cited by research in Health Informatics (66 citations), Obstetrics and Gynecology (192 citations) and Pediatrics, Perinatology and Child Health (295 citations). Tatsuya Arakaki has collaborated with scholars based in Japan, United Kingdom and Australia. Frequent co-authors include Akihiko Sekizawa, Junichi Hasegawa, Ryu Matsuoka, Hiroko Takita, Masamitsu Nakamura, Tomohiro Oba, Ryuji Hamamoto, Suguru Yasutomi, Masaaki Komatsu and Akira Sakai. Their work appears in journals such as PLoS ONE, Scientific Reports and American Journal of Obstetrics and Gynecology.
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.