Megumi Hirose
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- Neuropeptides and Animal Physiology 9
- Behavioral Neuroscience top 10%
- Reproductive Medicine top 5%
- Hypothalamic control of reproductive hormones 4
- Endocrine and Autonomic Systems top 10%
- Developmental Neuroscience top 10%
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- Neuroendocrine regulation and behavior 5
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- Receptor Mechanisms and Signaling 5
- CRISPR and Genetic Engineering 4
- Pluripotent Stem Cells Research 3
- Viral Infectious Diseases and Gene Expression in Insects 3
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- Virus-based gene therapy research 4
- Co-authors
- Norihito ShintaniHitoshi HashimotoAkemichi BabaKazuhiro TanakaShuhei TomimotoWakaba MoriKazumi KogaToshio Matsuda
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Biochemical and Biophysical Research Communications (3 papers)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- JapanUnited StatesIsrael
In The Last Decade
Megumi Hirose
21 papers receiving 704 citations
Peers
Comparison fields: 5 of 73
- Cellular and Molecular Neuroscience 495
- Behavioral Neuroscience 60
- Reproductive Medicine 109
- Endocrine and Autonomic Systems 66
- Developmental Neuroscience 38
Countries citing papers authored by Megumi Hirose
This map shows the geographic impact of Megumi Hirose'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 Megumi Hirose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megumi Hirose more than expected).
Fields of papers citing papers by Megumi Hirose
This network shows the impact of papers produced by Megumi Hirose. 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 Megumi Hirose. The network helps show where Megumi Hirose may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Megumi Hirose, 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 | 2020 | 4 | |
| 2 | 2017 | 16 | |
| 3 | 2016 | 1 | |
| 4 | 2016 | 15 | |
| 5 | 2013 | 3 | |
| 6 | 2011 | 5 | |
| 7 | 2010 | 13 | |
| 8 | 2010 | 4 | |
| 9 | 2008 | 46 | |
| 10 | 2006 | 15 | |
| 11 | 2005 | 3 | |
| 12 | 2005 | 28 | |
| 13 | 2004 | 16 | |
| 14 | 2004 | 46 | |
| 15 | 2004 | 9 | |
| 16 | 2003 | 34 | |
| 17 | 2002 | 23 | |
| 18 | 2002 | 69 | |
| 19 | 2001 | 33 | |
| 20 | 2001 | 318 |
About Megumi Hirose
Megumi Hirose is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Reproductive Medicine, having authored 21 papers that have together received 713 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (9 papers), Neuroendocrine regulation and behavior (5 papers), Receptor Mechanisms and Signaling (5 papers), Virus-based gene therapy research (4 papers), Hypothalamic control of reproductive hormones (4 papers), CRISPR and Genetic Engineering (4 papers), Pluripotent Stem Cells Research (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (495 citations), Behavioral Neuroscience (60 citations) and Reproductive Medicine (109 citations). Megumi Hirose has collaborated with scholars based in Japan, United States and Israel. Frequent co-authors include Norihito Shintani, Hitoshi Hashimoto, Akemichi Baba, Kazuhiro Tanaka, Shuhei Tomimoto, Wakaba Mori, Kazumi Koga, Toshio Matsuda, Akiyoshi Kunugi and Jun‐ichi Miyazaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Annals of the New York Academy of Sciences.
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.