Kei-ichiro Maeda
- Reproductive Medicine top 1%
- Molecular Biology
- Endocrine and Autonomic Systems top 2%
- Genetics top 10%
- Social Psychology top 10%
- Co-authors
- Hiroko TsukamuraSatoshi OhkuraHiroaki OkamuraYuji MoriVíctor M. NavarroKen T. MurataYoshihiro WakabayashiRobert A. Steiner
- Topics
- Hypothalamic control of reproductive hormones (10 papers)Regulation of Appetite and Obesity (7 papers)Plant Reproductive Biology (5 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Kei-ichiro Maeda
15 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Reproductive Medicine 716
- Molecular Biology 398
- Endocrine and Autonomic Systems 282
- Genetics 191
- Social Psychology 155
Countries citing papers authored by Kei-ichiro Maeda
This map shows the geographic impact of Kei-ichiro Maeda'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 Kei-ichiro Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kei-ichiro Maeda more than expected).
Fields of papers citing papers by Kei-ichiro Maeda
This network shows the impact of papers produced by Kei-ichiro Maeda. 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 Kei-ichiro Maeda. The network helps show where Kei-ichiro Maeda may publish in the future.
Co-authorship network of co-authors of Kei-ichiro Maeda
This figure shows the co-authorship network connecting the top 25 collaborators of Kei-ichiro Maeda. A scholar is included among the top collaborators of Kei-ichiro Maeda 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 Kei-ichiro Maeda. Kei-ichiro Maeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 22 | |
| 3 | 65 | |
| 4 | 45 | |
| 5 | 17 | |
| 6 | 30 | |
| 7 | 20 | |
| 8 | Neurokinin B and Dynorphin A in Kisspeptin Neurons of the Arcuate Nucleus Participate in Generation of Periodic Oscillation of Neural Activity Driving Pulsatile Gonadotropin-Releasing Hormone Secretion in the Goatbreakdown → | 470 |
| 9 | 76 | |
| 10 | 22 | |
| 11 | 82 | |
| 12 | 70 | |
| 13 | 99 | |
| 14 | 15 | |
| 15 | 28 |
About Kei-ichiro Maeda
Kei-ichiro Maeda is a scholar working on Reproductive Medicine, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (10 papers), Regulation of Appetite and Obesity (7 papers) and Plant Reproductive Biology (5 papers). The work is most often cited by research in Reproductive Medicine (716 citations), Endocrine and Autonomic Systems (282 citations) and Behavioral Neuroscience (36 citations). Kei-ichiro Maeda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hiroko Tsukamura, Satoshi Ohkura, Hiroaki Okamura, Yuji Mori, Víctor M. Navarro, Ken T. Murata, Yoshihiro Wakabayashi, Robert A. Steiner, Kazutaka Mogi and Donald K. Clifton. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and Endocrinology.
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.