Takato Kunitake

1.5k citations
44 papers · 1.2k · h-index 20

Impact in

Papers in

Takato Kunitake

44 papers receiving 1.2k citations

Peers

Takato Kunitake
Comparison fields: 5 of 77
  • Endocrine and Autonomic Systems 433
  • Behavioral Neuroscience 173
  • Cellular and Molecular Neuroscience 397
  • Sensory Systems 91
  • Cognitive Neuroscience 274
Replace Elena Krstew with:
Elena Krstew Australia
Pamela J. Davern Australia
Timothy W. Bailey United States
James R. Haselton United States
Suzanne M. Appleyard United States
Maria V. Zaretskaia United States
Shoichiro Nosaka Japan
Hiroshi Kannan Japan
Daniel L. Voisin France
Neil C. Owens Australia
Takato Kunitake relative to Elena Krstew Australia Elena Krstew's profile →
Citations per field
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Elena Krstew · 1×
Citations per year

Countries citing papers authored by Takato Kunitake

Since Specialization
Citations

This map shows the geographic impact of Takato Kunitake'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 Takato Kunitake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takato Kunitake more than expected).

Fields of papers citing papers by Takato Kunitake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Takato Kunitake. 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 Takato Kunitake. The network helps show where Takato Kunitake may publish in the future.

Co-authors

The 25 scholars most cited alongside Takato Kunitake, 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 Takato Kunitake Line = papers co-authored together Takato Kunitake links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998160
2 1998144
3 199875
4 200168
5 200265
6 199664
7 200258
8 199840
9 199739
10 200333
11 200032
12 200529
13 200029
14 199927
15 200426
16 199425
17 200423
18 200922
19 200621
20 200120

About Takato Kunitake

Takato Kunitake is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Social Psychology, Cardiology and Cardiovascular Medicine and Physiology, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (15 papers), Neuroscience of respiration and sleep (14 papers), Neuropeptides and Animal Physiology (9 papers), Stress Responses and Cortisol (9 papers), Receptor Mechanisms and Signaling (8 papers), Heart Rate Variability and Autonomic Control (8 papers), Neuroscience and Neuropharmacology Research (6 papers) and Regulation of Appetite and Obesity (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (433 citations), Behavioral Neuroscience (173 citations), Cellular and Molecular Neuroscience (397 citations), Sensory Systems (91 citations) and Cognitive Neuroscience (274 citations). Takato Kunitake has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hiroshi Kannan, Kazuo Kato, Takamitsu Hanamori, Mayumi Takasaki, Tetsuro Shirasaka, Qinghua Jin, Yuta Ishizuka, Masamitsu Nakazato, Yoshiaki Hayashida and H. Kannan. Their work appears in journals such as Brain Research, Regulatory Peptides, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Journal of Neurophysiology and Autonomic 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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