Satoshi Sugimura

2.1k citations
58 papers · 1.6k · h-index 23

Impact in

Papers in

Satoshi Sugimura

55 papers receiving 1.6k citations

Peers

Satoshi Sugimura
Comparison fields: 5 of 87
  • Reproductive Medicine 589
  • Public Health, Environmental and Occupational Health 1.2k
  • Agronomy and Crop Science 216
  • Genetics 377
  • Molecular Biology 785
Replace Tirtha Kumar Datta with:
Tirtha Kumar Datta India
Yoshiaki IZAIKE Japan
Michiko Nakai Japan
Federica Franciosi Italy
Michael Hölker Germany
Anne R. O’Connell New Zealand
K.F. Miller United States
Tod C. McCauley United States
Marcos Roberto Chiaratti Brazil
Christophe Staub France
Satoshi Sugimura relative to Tirtha Kumar Datta India Tirtha Kumar Datta's profile →
Citations per field
00.5×1.5×1.9×
Tirtha Kumar Datta · 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 2016167
2 2015122
3 201298
4 201786
5 201685
6 201081
7 200974
8 201467
9 201561
10 201549
11 201742
12 201239
13 201839
14 202135
15 200935
16 200534
17 201828
18 200728
19 201528
20 200827

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 1.6k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (44 papers), Pluripotent Stem Cells Research (23 papers), Renal and related cancers (15 papers), Animal Genetics and Reproduction (14 papers), Sperm and Testicular Function (8 papers), Ovarian function and disorders (8 papers), CRISPR and Genetic Engineering (4 papers) and Ruminant Nutrition and Digestive Physiology (3 papers). The work is most often cited by research in Reproductive Medicine (589 citations), Public Health, Environmental and Occupational Health (1.2k citations), Agronomy and Crop Science (216 citations), Genetics (377 citations) and Molecular Biology (785 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 Cellular Reprogramming.

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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