Akira Hata
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Genetics top 1%
- Surgery top 5%
- Co-authors
- Jean-Marc LalouelXavier Jeunemaı̂treMisuzu FujitaYoshihiro OnouchiYasuyuki SuzukiM. EmiIchiro MatsuiYoshikazu Kuroki
- Topics
- Birth, Development, and Health (13 papers)Renin-Angiotensin System Studies (13 papers)Pregnancy and preeclampsia studies (12 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicineObstetrics and Gynecology
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Akira Hata
162 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Cardiology and Cardiovascular Medicine 1.8k
- Molecular Biology 1.5k
- Endocrinology, Diabetes and Metabolism 1.5k
- Genetics 1.5k
- Surgery 908
Countries citing papers authored by Akira Hata
This map shows the geographic impact of Akira Hata'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 Akira Hata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Hata more than expected).
Fields of papers citing papers by Akira Hata
This network shows the impact of papers produced by Akira Hata. 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 Akira Hata. The network helps show where Akira Hata may publish in the future.
Co-authorship network of co-authors of Akira Hata
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Hata. A scholar is included among the top collaborators of Akira Hata 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 Akira Hata. Akira Hata 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 | 7 | |
| 4 | 8 | |
| 5 | 17 | |
| 6 | 34 | |
| 7 | 22 | |
| 8 | 25 | |
| 9 | 14 | |
| 10 | 42 | |
| 11 | 34 | |
| 12 | 94 | |
| 13 | A genome wide search for Kawasaki disease susceptibility genes | 1 |
| 14 | 19 | |
| 15 | 27 | |
| 16 | 0 | |
| 17 | 12 | |
| 18 | 63 | |
| 19 | 1 | |
| 20 | 316 |
About Akira Hata
Akira Hata is a scholar working on Obstetrics and Gynecology, Clinical Biochemistry and Biochemistry, having authored 164 papers that have together received 6.6k indexed citations. Recurring topics across this work include Birth, Development, and Health (13 papers), Renin-Angiotensin System Studies (13 papers) and Pregnancy and preeclampsia studies (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Cardiology and Cardiovascular Medicine (1.8k citations) and Obstetrics and Gynecology (532 citations). Akira Hata has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Jean-Marc Lalouel, Xavier Jeunemaı̂tre, Misuzu Fujita, Yoshihiro Onouchi, Yasuyuki Suzuki, M. Emi, Ichiro Matsui, Yoshikazu Kuroki, J.-M. Lalouel and Arya M. Sharma. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.