Satoshi Sugimura

2.1k citations
58 papers · 1.7k · h-index 24

Impact in

Papers in

Satoshi Sugimura

57 papers receiving 1.7k citations

Peers

Satoshi Sugimura
Comparison fields: 5 of 91
  • Reproductive Medicine 533
  • Public Health, Environmental and Occupational Health 1.2k
  • Agronomy and Crop Science 208
  • Genetics 366
  • Molecular Biology 745
Replace Yoshiaki IZAIKE with:
Yoshiaki IZAIKE Japan
Michiko Nakai Japan
Federica Franciosi Italy
Tong Qin China
Tod C. McCauley United States
Anne R. O’Connell New Zealand
Michael Hölker Germany
Michael K. Dyck Canada
Xiomara Lucas Spain
Elaine M. Carnevale United States
Satoshi Sugimura relative to Yoshiaki IZAIKE Japan Yoshiaki IZAIKE's profile →
Citations per field
00.5×7.1×
Yoshiaki IZAIKE · 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 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016177
2 2015132
3 2012101
4 201791
5 201086
6 201685
7 200976
8 201469
9 201564
10 201552
11 201743
12 201240
13 201839
14 202138
15 200936
16 200535
17 201530
18 201729
19 201829
20 200728

About Satoshi Sugimura

Satoshi Sugimura is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Genetics, Reproductive Medicine and Agronomy and Crop Science, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (44 papers), Pluripotent Stem Cells Research (22 papers), Animal Genetics and Reproduction (14 papers), Renal and related cancers (14 papers), Ovarian function and disorders (8 papers), Sperm and Testicular Function (7 papers), CRISPR and Genetic Engineering (4 papers) and Prenatal Screening and Diagnostics (3 papers). The work is most often cited by research in Reproductive Medicine (533 citations), Public Health, Environmental and Occupational Health (1.2k citations), Agronomy and Crop Science (208 citations), Genetics (366 citations) and Molecular Biology (745 citations). Satoshi Sugimura has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Robert B. Gilchrist, Jeremy G. Thompson, Eimei Sato, K. Imai, Lesley J. Ritter, Takuya Wakai, Ken‐ichi Yamanaka, Manabu Kawahara, Y. Hashiyada and Tomonori Akai. 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.

Explore authors with similar magnitude of impact