Hajime Nawata
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- Hormonal and reproductive studies 42
- Hormonal Regulation and Hypertension 35
- Pituitary Gland Disorders and Treatments 26
- Adrenal Hormones and Disorders 23
- Behavioral Neuroscience top 1%
- Hepatology top 1%
- Physiology top 0.5%
- Nitric Oxide and Endothelin Effects 26
- Clinical Biochemistry top 0.5%
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- Estrogen and related hormone effects 41
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- Neuropeptides and Animal Physiology 32
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- Sexual Differentiation and Disorders 27
- Co-authors
- Toshihiko YanaseRyoichi TakayanagiToyoshi InoguchiFumio UmedaKiminobu GotoTaijiro OkabeHiroshi IbayashiJunji Nishimura
- Journals
- Biochemical and Biophysical Research Communications (21 papers)The Journal of Clinical Endocrinology & Metabolism (15 papers)Endocrinology (14 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Hajime Nawata
488 papers receiving 14.4k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Endocrinology, Diabetes and Metabolism 2.9k
- Behavioral Neuroscience 357
- Hepatology 758
- Physiology 2.3k
- Clinical Biochemistry 574
Countries citing papers authored by Hajime Nawata
This map shows the geographic impact of Hajime Nawata'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 Hajime Nawata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hajime Nawata more than expected).
Fields of papers citing papers by Hajime Nawata
This network shows the impact of papers produced by Hajime Nawata. 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 Hajime Nawata. The network helps show where Hajime Nawata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hajime Nawata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 7 | |
| 2 | 2005 | 23 | |
| 3 | 2004 | 1 | |
| 4 | 2004 | 8 | |
| 5 | 2002 | 64 | |
| 6 | Androgen Insensitivity by Coactivator Abnormality | 2002 | 1 |
| 7 | 2001 | 48 | |
| 8 | 2000 | 24 | |
| 9 | 1997 | 47 | |
| 10 | 1996 | 3 | |
| 11 | 1995 | 1 | |
| 12 | 1995 | 25 | |
| 13 | 1994 | 8 | |
| 14 | 1994 | 17 | |
| 15 | 1993 | 10 | |
| 16 | 1991 | 11 | |
| 17 | 1990 | 2 | |
| 18 | 1989 | 1 | |
| 19 | 1989 | 11 | |
| 20 | 1988 | 1 |
About Hajime Nawata
Hajime Nawata is a scholar working on Endocrinology, Diabetes and Metabolism, Hepatology and Behavioral Neuroscience, having authored 494 papers that have together received 14.9k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (42 papers), Estrogen and related hormone effects (41 papers), Hormonal Regulation and Hypertension (35 papers), Neuropeptides and Animal Physiology (32 papers), Sexual Differentiation and Disorders (27 papers), Nitric Oxide and Endothelin Effects (26 papers), Pituitary Gland Disorders and Treatments (26 papers) and Adrenal Hormones and Disorders (23 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.9k citations), Behavioral Neuroscience (357 citations) and Hepatology (758 citations). Hajime Nawata has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Toshihiko Yanase, Ryoichi Takayanagi, Toyoshi Inoguchi, Fumio Umeda, Kiminobu Goto, Taijiro Okabe, Hiroshi Ibayashi, Junji Nishimura, Keizo Ohnaka and Kenichi Kato. Their work appears in journals such as Biochemical and Biophysical Research Communications, The Journal of Clinical Endocrinology & Metabolism, Endocrinology, Life Sciences and Diabetes.
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.