Fukuko Kimura

5.2k citations
218 papers · 3.7k · h-index 34

Impact in

Papers in

Fukuko Kimura

213 papers receiving 3.6k citations

Peers

Fukuko Kimura
Comparison fields: 5 of 116
  • Behavioral Neuroscience 864
  • Endocrine and Autonomic Systems 1.1k
  • Reproductive Medicine 1.0k
  • Cellular and Molecular Neuroscience 922
  • Social Psychology 970
Replace Imre Kalló with:
Imre Kalló Hungary
Toshiya Funabashi Japan
Lee‐Ming Kow United States
Richard E. Harlan United States
Erik Hrabovszky Hungary
Gary P. Dohanich United States
Clive W. Coen United Kingdom
Robert L. Eskay United States
Simon M. Luckman United Kingdom
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 218 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001194
2 2008107
3 200698
4 199188
5 200367
6 200364
7 199656
8 200053
9 200053
10 200252
11 200052
12 198450
13 200249
14 200948
15 199947
16 198747
17 199846
18 199945
19 201544
20 200944

About Fukuko Kimura

Fukuko Kimura is a scholar working on Reproductive Medicine, Behavioral Neuroscience, Social Psychology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 218 papers that have together received 3.7k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (78 papers), Stress Responses and Cortisol (78 papers), Neuroendocrine regulation and behavior (60 papers), Circadian rhythm and melatonin (28 papers), Regulation of Appetite and Obesity (24 papers), Neuroscience and Neuropharmacology Research (22 papers), Growth Hormone and Insulin-like Growth Factors (22 papers) and Neuropeptides and Animal Physiology (22 papers). The work is most often cited by research in Behavioral Neuroscience (864 citations), Endocrine and Autonomic Systems (1.1k citations), Reproductive Medicine (1.0k citations), Cellular and Molecular Neuroscience (922 citations) and Social Psychology (970 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, Kenkichi Takase and Akane Sano. 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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