Kazutaka Mogi
- Social Psychology top 0.5%
- Genetics top 1%
- Reproductive Medicine top 0.5%
- Pharmacy top 0.2%
- Endocrine and Autonomic Systems top 1%
- Co-authors
- Takefumi KikusuiMiho NagasawaShota OkabeMitsuaki OhtaHiroaki OkamuraNobuyo OhtaniSatoshi OhkuraYoshihiro Wakabayashi
- Topics
- Neuroendocrine regulation and behavior (68 papers)Human-Animal Interaction Studies (41 papers)Infant Health and Development (28 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Kazutaka Mogi
109 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Social Psychology 1.8k
- Genetics 1.6k
- Reproductive Medicine 917
- Pharmacy 628
- Endocrine and Autonomic Systems 589
Countries citing papers authored by Kazutaka Mogi
This map shows the geographic impact of Kazutaka Mogi'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 Kazutaka Mogi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazutaka Mogi more than expected).
Fields of papers citing papers by Kazutaka Mogi
This network shows the impact of papers produced by Kazutaka Mogi. 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 Kazutaka Mogi. The network helps show where Kazutaka Mogi may publish in the future.
Co-authorship network of co-authors of Kazutaka Mogi
This figure shows the co-authorship network connecting the top 25 collaborators of Kazutaka Mogi. A scholar is included among the top collaborators of Kazutaka Mogi 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 Kazutaka Mogi. Kazutaka Mogi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 11 | |
| 9 | 3 | |
| 10 | 21 | |
| 11 | 8 | |
| 12 | The Frequency Variations of the Oxytocin Receptor Gene Polymorphisms among Dog Breeds | 3 |
| 13 | 46 | |
| 14 | 55 | |
| 15 | 17 | |
| 16 | 116 | |
| 17 | 107 | |
| 18 | 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 |
| 19 | 170 | |
| 20 | 16 |
About Kazutaka Mogi
Kazutaka Mogi is a scholar working on Pharmacy, Behavioral Neuroscience and Developmental Biology, having authored 111 papers that have together received 4.0k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (68 papers), Human-Animal Interaction Studies (41 papers) and Infant Health and Development (28 papers). The work is most often cited by research in Developmental Biology (337 citations), Pharmacy (628 citations) and Reproductive Medicine (917 citations). Kazutaka Mogi has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Takefumi Kikusui, Miho Nagasawa, Shota Okabe, Mitsuaki Ohta, Hiroaki Okamura, Nobuyo Ohtani, Satoshi Ohkura, Yoshihiro Wakabayashi, Hiroko Tsukamura and Yuji Mori. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.
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.