Kazutaka Mogi

6.0k citations
111 papers · 4.0k indexed · 2 hit papers · h-index 32

Kazutaka Mogi

109 papers receiving 3.9k citations

Hit Papers

Oxytocin-gaze positive loop and the coevolution of human-...4792010202620152020100200300400

Peers

Kazutaka Mogi
Comparison fields: 5 of 133
  • Developmental Biology 337
  • Pharmacy 628
  • Reproductive Medicine 917
  • Social Psychology 1.8k
  • Endocrine and Autonomic Systems 589
Replace Simone Meddle with:
Simone Meddle United Kingdom
Toni E. Ziegler United States
Joseph Terkel Israel
Yuji Mori Japan
Takefumi Kikusui Japan
Ronald J. Barfield United States
Elena Choleris Canada
E.B. Keverne United Kingdom
James Winslow United States
James G. Pfaus Canada
Kazutaka Mogi relative to Simone Meddle United Kingdom Simone Meddle's profile →
Citations per field
00.5×3.5×
Simone Meddle · 1×
Citations per year

Countries citing papers authored by Kazutaka Mogi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Kazutaka Mogi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kazutaka Mogi Line = papers co-authored together Kazutaka Mogi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20245
4 20247
5 20232
6 20224
7 202110
8 202011
9 20203
10 201921
11 20168
12
The Frequency Variations of the Oxytocin Receptor Gene Polymorphisms among Dog Breeds
20153
13 201546
14 201455
15 201317
16 2011116
17 2011107
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 →
2010470
19 2009170
20 200716

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), Infant Health and Development (28 papers), Evolutionary Psychology and Human Behavior (16 papers), Stress Responses and Cortisol (15 papers), Hypothalamic control of reproductive hormones (14 papers), Olfactory and Sensory Function Studies (12 papers) and Animal Vocal Communication and Behavior (9 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.

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