Fukuko Kimura

5.2k citations
223 papers · 4.0k · h-index 34

Impact in

Papers in

Fukuko Kimura

215 papers receiving 3.8k citations

Peers

Fukuko Kimura
Comparison fields: 5 of 118
  • Behavioral Neuroscience 901
  • Endocrine and Autonomic Systems 1.2k
  • Reproductive Medicine 1.1k
  • Cellular and Molecular Neuroscience 967
  • Social Psychology 1.0k
Replace Imre Kalló with:
Imre Kalló Hungary
Toshiya Funabashi Japan
Richard E. Harlan United States
Erik Hrabovszky Hungary
Clive W. Coen United Kingdom
Marya Shanabrough United States
Gary P. Dohanich United States
Simon M. Luckman United Kingdom
Robert L. Eskay United States
Anders Härfstrand Sweden
Fukuko Kimura relative to Imre Kalló Hungary Imre Kalló's profile →
Citations per field
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Imre Kalló · 1×
Citations per year

Countries citing papers authored by Fukuko Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Fukuko Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 223 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001205
2 2008113
3 200699
4 199189
5 200371
6 200367
7 200064
8 200057
9 199657
10 200057
11 198453
12 200253
13 200253
14 198752
15 199850
16 199950
17 200948
18 197848
19 200047
20 199946

About Fukuko Kimura

Fukuko Kimura is a scholar working on Behavioral Neuroscience, Reproductive Medicine, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Social Psychology, having authored 223 papers that have together received 4.0k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (79 papers), Stress Responses and Cortisol (78 papers), Neuroendocrine regulation and behavior (60 papers), Circadian rhythm and melatonin (29 papers), Regulation of Appetite and Obesity (25 papers), Growth Hormone and Insulin-like Growth Factors (22 papers), Neuroscience and Neuropharmacology Research (22 papers) and Neuropeptides and Animal Physiology (22 papers). The work is most often cited by research in Behavioral Neuroscience (901 citations), Endocrine and Autonomic Systems (1.2k citations), Reproductive Medicine (1.1k citations), Cellular and Molecular Neuroscience (967 citations) and Social Psychology (1.0k citations). Fukuko Kimura has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Toshiya Funabashi, Dai Mitsushima, Jun Arita, Kazuyuki Shinohara, Miyako Furuta, MASAZUMI KAWAKAMI, Tooru M. Mizuno, Tatsuo Akema, Akane Sano and Kenkichi Takase. Their work appears in journals such as Neuroendocrinology, Brain Research, Journal of Neuroendocrinology, Endocrinology and 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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