Kunihiko Hanew
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Behavioral Neuroscience top 2%
- Pediatrics, Perinatology and Child Health top 10%
- Epidemiology
- Co-authors
- KAORU YOSHINAGAAtsushi SasakiYASUYUKI SHIMIZUOsamu MurakamiShuichi SatoOsamu ShinkawaAndrew N. MargiorisAnthony S. Liotta
- Topics
- Growth Hormone and Insulin-like Growth Factors (50 papers)Pituitary Gland Disorders and Treatments (30 papers)Thyroid Disorders and Treatments (13 papers)
- Cited by
- Behavioral NeuroscienceEndocrinology, Diabetes and MetabolismPediatrics, Perinatology and Child Health
- Journals
- PLoS ONEThe Journal of Clinical Endocrinology & MetabolismExperimental Biology and Medicine
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Kunihiko Hanew
76 papers receiving 1000 citations
Peers
Comparison fields: 5 of 86
- Endocrinology, Diabetes and Metabolism 540
- Molecular Biology 224
- Behavioral Neuroscience 216
- Pediatrics, Perinatology and Child Health 177
- Epidemiology 154
Countries citing papers authored by Kunihiko Hanew
This map shows the geographic impact of Kunihiko Hanew'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 Kunihiko Hanew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunihiko Hanew more than expected).
Fields of papers citing papers by Kunihiko Hanew
This network shows the impact of papers produced by Kunihiko Hanew. 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 Kunihiko Hanew. The network helps show where Kunihiko Hanew may publish in the future.
Co-authorship network of co-authors of Kunihiko Hanew
This figure shows the co-authorship network connecting the top 25 collaborators of Kunihiko Hanew. A scholar is included among the top collaborators of Kunihiko Hanew 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 Kunihiko Hanew. Kunihiko Hanew is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 29 | |
| 3 | 28 | |
| 4 | 6 | |
| 5 | 8 | |
| 6 | 10 | |
| 7 | 79 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | 16 | |
| 12 | 9 | |
| 13 | 6 | |
| 14 | 4 | |
| 15 | 21 | |
| 16 | 15 | |
| 17 | 14 | |
| 18 | 3 | |
| 19 | [Case of somatostatinoma syndrome]. | 1 |
| 20 | 2 |
About Kunihiko Hanew
Kunihiko Hanew is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Genetics, having authored 78 papers that have together received 1.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (50 papers), Pituitary Gland Disorders and Treatments (30 papers) and Thyroid Disorders and Treatments (13 papers). The work is most often cited by research in Behavioral Neuroscience (216 citations), Endocrinology, Diabetes and Metabolism (540 citations) and Pediatrics, Perinatology and Child Health (177 citations). Kunihiko Hanew has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include KAORU YOSHINAGA, Atsushi Sasaki, YASUYUKI SHIMIZU, Osamu Murakami, Shuichi Sato, Osamu Shinkawa, Andrew N. Margioris, Anthony S. Liotta, Susumu Yokoya and Toshiaki Tanaka. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Experimental Biology and Medicine.
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.