Jun Arita
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol 15
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- Regulation of Appetite and Obesity 10
- Reproductive Medicine top 2%
- Hypothalamic control of reproductive hormones 25
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- Neuroscience and Neuropharmacology Research 12
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- Growth Hormone and Insulin-like Growth Factors 24
- Pituitary Gland Disorders and Treatments 9
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- Estrogen and related hormone effects 13
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- Neuroendocrine regulation and behavior 11
- Co-authors
- Fukuko KimuraMASAZUMI KAWAKAMIShigenobu KanbaJohn C. PorterTooru M. MizunoYasuhiro KojimaTetsuo MitsuiNobuhiro Sugiyama
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Jun Arita
91 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 95
- Behavioral Neuroscience 302
- Endocrine and Autonomic Systems 328
- Reproductive Medicine 361
- Cellular and Molecular Neuroscience 459
- Endocrinology, Diabetes and Metabolism 416
Countries citing papers authored by Jun Arita
This map shows the geographic impact of Jun Arita'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 Jun Arita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Arita more than expected).
Fields of papers citing papers by Jun Arita
This network shows the impact of papers produced by Jun Arita. 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 Jun Arita. The network helps show where Jun Arita may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Arita, 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 | 2023 | 1 | |
| 2 | 2020 | 25 | |
| 3 | 2020 | 20 | |
| 4 | 2019 | 41 | |
| 5 | 2011 | 12 | |
| 6 | 2008 | 6 | |
| 7 | 2006 | 22 | |
| 8 | 2006 | 6 | |
| 9 | 2005 | 60 | |
| 10 | 2003 | 28 | |
| 11 | 2002 | 35 | |
| 12 | 2002 | 22 | |
| 13 | 1999 | 4 | |
| 14 | 1996 | 20 | |
| 15 | 1994 | 14 | |
| 16 | 1991 | 36 | |
| 17 | 1991 | 2 | |
| 18 | 1990 | 5 | |
| 19 | 1989 | 5 | |
| 20 | 1989 | 69 |
About Jun Arita
Jun Arita is a scholar working on Behavioral Neuroscience, Reproductive Medicine, Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 91 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (25 papers), Growth Hormone and Insulin-like Growth Factors (24 papers), Stress Responses and Cortisol (15 papers), Estrogen and related hormone effects (13 papers), Neuroscience and Neuropharmacology Research (12 papers), Neuroendocrine regulation and behavior (11 papers), Regulation of Appetite and Obesity (10 papers) and Pituitary Gland Disorders and Treatments (9 papers). The work is most often cited by research in Behavioral Neuroscience (302 citations), Endocrine and Autonomic Systems (328 citations), Reproductive Medicine (361 citations), Cellular and Molecular Neuroscience (459 citations) and Endocrinology, Diabetes and Metabolism (416 citations). Jun Arita has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Fukuko Kimura, MASAZUMI KAWAKAMI, Shigenobu Kanba, John C. Porter, Tooru M. Mizuno, Yasuhiro Kojima, Tetsuo Mitsui, Nobuhiro Sugiyama, Ping Yin and Takashi Higuchi. Their work appears in journals such as Endocrinology, Brain Research, Neuroendocrinology, Journal of Endocrinology and Cancers.
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.