Yo Suzuki

4.4k citations
49 papers · 1.7k · h-index 19

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
    • Antibiotic Resistance in Bacteria

Papers in

    • CRISPR and Genetic Engineering 10
    • RNA and protein synthesis mechanisms 7
    • Fungal and yeast genetics research 5
    • Animal Genetics and Reproduction 6
    • Bacterial Genetics and Biotechnology 5

Yo Suzuki

47 papers receiving 1.6k citations

Peers

Yo Suzuki
Comparison fields: 5 of 132
  • Aging 250
  • Molecular Medicine 197
  • Molecular Biology 912
  • Endocrine and Autonomic Systems 87
  • Endocrinology 60
Replace Natalia V. Kirienko with:
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Citations per field
00.5×1.5×
Natalia V. Kirienko · 1×
Citations per year

Countries citing papers authored by Yo Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Yo Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011253
2 2017229
3 1999205
4 2014171
5 2015103
6 200563
7 201254
8 200352
9 201150
10 201344
11 202141
12 200937
13 201434
14 200634
15 200231
16 200527
17 200623
18 201123
19 201522
20 201617

About Yo Suzuki

Yo Suzuki is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Physiology and Surgery, having authored 49 papers that have together received 1.7k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), Reproductive Biology and Fertility (8 papers), RNA and protein synthesis mechanisms (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Animal Genetics and Reproduction (6 papers), Fungal and yeast genetics research (5 papers), Bacterial Genetics and Biotechnology (5 papers) and Obstructive Sleep Apnea Research (4 papers). The work is most often cited by research in Aging (250 citations), Molecular Medicine (197 citations), Molecular Biology (912 citations), Endocrine and Autonomic Systems (87 citations) and Endocrinology (60 citations). Yo Suzuki has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include J. Craig Venter, William B. Wood, Sanjay Vashee, Lauren M. Oldfield, Amalio Telenti, William Nelson, Seesandra V. Rajagopala, Maxim Kostylev, Frederick P. Roth and Robert M. Ross. Their work appears in journals such as Journal of Reproduction and Development, Journal of Biological Chemistry, Nucleic Acids Research, Nature Methods and ACS Synthetic Biology.

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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