Jun Fukuda

4.1k citations
115 papers · 3.3k · h-index 32

Impact in

Papers in

Jun Fukuda

114 papers receiving 3.1k citations

Peers

Jun Fukuda
Comparison fields: 5 of 135
  • Cellular and Molecular Neuroscience 1.0k
  • Reproductive Medicine 401
  • Endocrine and Autonomic Systems 282
  • Obstetrics and Gynecology 276
  • Neurology 208
Replace Amy Christensen with:
Amy Christensen United States
Joseph E. Mazurkiewicz United States
T. Takeda Japan
James T. Stull United States
Anders Arner Sweden
Ernest W. Page United States
Dale W. Laird Canada
Kazushi Kimura Japan
R. E. Coupland United Kingdom
Luc Leybaert Belgium
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Citations per field
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Citations per year

Countries citing papers authored by Jun Fukuda

Since Specialization
Citations

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

Fields of papers citing papers by Jun Fukuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995231
2 1974199
3 1987159
4 2003128
5 2000126
6 2002121
7 2009110
8 1972108
9 197792
10 200891
11 200789
12 197081
13 200368
14 199561
15 198061
16 198859
17 198659
18 200357
19 199657
20 200456

About Jun Fukuda

Jun Fukuda is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Reproductive Medicine, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 115 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (15 papers), Ion channel regulation and function (13 papers), Nerve injury and regeneration (10 papers), Reproductive Biology and Fertility (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Ovarian function and disorders (7 papers), Reproductive System and Pregnancy (7 papers) and Cell death mechanisms and regulation (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Reproductive Medicine (401 citations), Endocrine and Autonomic Systems (282 citations), Obstetrics and Gynecology (276 citations) and Neurology (208 citations). Jun Fukuda has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Toshinobu Tanaka, H. Kodama, Kazuhiro Kawamura, Atsushi Momose, Jin Kumagai, Masaki Kameyama, Haruo Kasai, Susumu Hagiwara, Douglas C. Eaton and Yasushi Shimizu. Their work appears in journals such as Brain Research, Fertility and Sterility, Acta Obstetricia Et Gynecologica Scandinavica, Developmental Biology and Neuroscience Research.

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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