Shingo Usuki

750 citations
24 papers · 403 · h-index 10

Impact in

    • Sperm and Testicular Function
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • DNA Repair Mechanisms
    • RNA modifications and cancer
    • CRISPR and Genetic Engineering

Papers in

Shingo Usuki

21 papers receiving 400 citations

Peers

Shingo Usuki
Comparison fields: 5 of 61
  • Reproductive Medicine 37
  • Molecular Biology 284
  • Aging 5
  • Public Health, Environmental and Occupational Health 65
  • Genetics 57
Replace Mariko Yamane with:
Mariko Yamane Japan
Michael A. Charles United States
Anthony P. Popkie United States
Kenryo Furushima Japan
Jennifer L. Smedberg United States
Catherine Rhéaume United States
Nicholes R. Candelaria United States
Wolfram H. Gruhn United Kingdom
Michaela Mark France
Aalia Batool China
Shingo Usuki relative to Mariko Yamane Japan Mariko Yamane's profile →
Citations per field
00.5×3.5×
Mariko Yamane · 1×
Citations per year

Countries citing papers authored by Shingo Usuki

Since Specialization
Citations

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

Fields of papers citing papers by Shingo Usuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020127
2 202168
3 202436
4 202228
5 201828
6 202127
7 202321
8 202013
9 202312
10 20249
11 20236
12 20206
13 20244
14 20244
15 20243
16 20233
17 20242
18 20232
19 20252
20 20241

About Shingo Usuki

Shingo Usuki is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Hematology and Cell Biology, having authored 24 papers that have together received 403 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (3 papers), RNA Research and Splicing (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Pluripotent Stem Cells Research (2 papers), RNA Interference and Gene Delivery (2 papers), Single-cell and spatial transcriptomics (2 papers), Immune cells in cancer (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Reproductive Medicine (37 citations), Molecular Biology (284 citations), Aging (5 citations), Public Health, Environmental and Occupational Health (65 citations) and Genetics (57 citations). Shingo Usuki has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Hitoshi Niwa, Kimi Araki, Kei‐ichiro Ishiguro, Kumi Matsuura, Sayoko Fujimura, Naoki Tani, Mariko Yamane, Naoki Takeda, Shinichiro Chuma and Michihiko Sugimoto. Their work appears in journals such as Nature Communications, iScience, The EMBO Journal, Science Advances and Nature Metabolism.

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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