Hiroaki Inomata
- Endocrinology, Diabetes and Metabolism top 5%
- Pulmonary and Respiratory Medicine
- Surgery
- Molecular Biology
- Pediatrics, Perinatology and Child Health
- Co-authors
- Nozomu SasakiHirokazu SatoShigetaka SugiharaHisashi OhnishiHiroo NiimiMikiya FujiedaShohei HaradaShigeki Miyamoto
- Topics
- Thyroid Disorders and Treatments (19 papers)Growth Hormone and Insulin-like Growth Factors (8 papers)Congenital heart defects research (4 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismEndocrine and Autonomic SystemsPediatrics, Perinatology and Child Health
- Journals
- The Journal of Clinical Endocrinology & MetabolismThe Journal of PediatricsIEEE Transactions on Electron Devices
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Hiroaki Inomata
25 papers receiving 441 citations
Peers
Comparison fields: 5 of 55
- Endocrinology, Diabetes and Metabolism 273
- Pulmonary and Respiratory Medicine 136
- Surgery 120
- Molecular Biology 99
- Pediatrics, Perinatology and Child Health 84
Countries citing papers authored by Hiroaki Inomata
This map shows the geographic impact of Hiroaki Inomata'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 Hiroaki Inomata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroaki Inomata more than expected).
Fields of papers citing papers by Hiroaki Inomata
This network shows the impact of papers produced by Hiroaki Inomata. 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 Hiroaki Inomata. The network helps show where Hiroaki Inomata may publish in the future.
Co-authorship network of co-authors of Hiroaki Inomata
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroaki Inomata. A scholar is included among the top collaborators of Hiroaki Inomata 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 Hiroaki Inomata. Hiroaki Inomata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 14 | |
| 3 | Neonatal screening for congenital hypothyroidism in Japan. | 10 |
| 4 | 28 | |
| 5 | 11 | |
| 6 | 10 | |
| 7 | 27 | |
| 8 | 29 | |
| 9 | 43 | |
| 10 | 56 | |
| 11 | 3 | |
| 12 | 25 | |
| 13 | 13 | |
| 14 | 52 | |
| 15 | 5 | |
| 16 | 7 | |
| 17 | 5 | |
| 18 | 3 | |
| 19 | 15 | |
| 20 | 2 |
About Hiroaki Inomata
Hiroaki Inomata is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Genetics, having authored 25 papers that have together received 459 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (19 papers), Growth Hormone and Insulin-like Growth Factors (8 papers) and Congenital heart defects research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (273 citations), Endocrine and Autonomic Systems (43 citations) and Pediatrics, Perinatology and Child Health (84 citations). Hiroaki Inomata has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Nozomu Sasaki, Hirokazu Sato, Shigetaka Sugihara, Hisashi Ohnishi, Hiroo Niimi, Mikiya Fujieda, Shohei Harada, Hirokazu Sato, Shigeki Miyamoto and Yan‐Hong Gu. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The Journal of Pediatrics and IEEE Transactions on Electron Devices.
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.