Satoshi Sugimura

59 papers receiving 1.7k citations

Peers

Satoshi Sugimura
Comparison fields: 5 of 67
  • Public Health, Environmental and Occupational Health 1.1k
  • Agronomy and Crop Science 227
  • Reproductive Medicine 135
  • Genetics 335
  • Microbiology 69
Replace Hanne Gervi Pedersen with:
Hanne Gervi Pedersen Denmark
Vicente José de Figueirêdo Freitas Brazil
Alain Fontbonne France
Luís Lopes-da-Costa Portugal
M. Thibier France
Grégoire Harichaux France
Gilbert Reed Holyoak United States
Christian Grøndahl Denmark
Kaywalee Chatdarong Thailand
Fredi Janett Switzerland
Satoshi Sugimura relative to Hanne Gervi Pedersen Denmark Hanne Gervi Pedersen's profile →
Citations per field
00.5×2×3×3.9×
Hanne Gervi Pedersen · 1×
Citations per year

Countries citing papers authored by Satoshi Sugimura

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Sugimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016179
2 2015135
3 2012106
4 201798
5 201689
6 201085
7 200977
8 201469
9 201568
10 201554
11 201744
12 201243
13 202143
14 201838
15 200936
16 200535
17 201531
18 201831
19 201729
20 200728

About Satoshi Sugimura

Satoshi Sugimura is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Agronomy and Crop Science, Reproductive Medicine and Animal Science and Zoology, having authored 60 papers that have together received 1.8k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (35 papers), Animal Genetics and Reproduction (19 papers), Reproductive Physiology in Livestock (6 papers), Sperm and Testicular Function (5 papers), Pluripotent Stem Cells Research (2 papers), Microtubule and mitosis dynamics (2 papers), Animal Nutrition and Physiology (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.1k citations), Agronomy and Crop Science (227 citations), Reproductive Medicine (135 citations), Genetics (335 citations) and Microbiology (69 citations). Satoshi Sugimura has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Robert Bruce Gilchrist, Jeremy G. Thompson, Lesley J. Ritter, Kei Imai, Eimei Sato, Takuya Wakai, Manabu Kawahara, Y. Hashiyada, Tomonori Akai and David G. Mottershead. Their work appears in journals such as Journal of Reproduction and Development, Reproduction Fertility and Development, Theriogenology, Animal Reproduction Science and Scientific Reports.

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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