Peter Suzuki

948 citations
12 papers · 474 · h-index 9

Impact in

  • Biophysics top 10%
    • Genomics and Chromatin Dynamics
    • RNA and protein synthesis mechanisms
    • CRISPR and Genetic Engineering
    • RNA Research and Splicing
    • Single-cell and spatial transcriptomics
    • Muscle Physiology and Disorders
    • Genomics and Phylogenetic Studies

Papers in

Peter Suzuki

10 papers receiving 464 citations

Peers

Peter Suzuki
Comparison fields: 5 of 95
  • Biophysics 31
  • Molecular Biology 307
  • Aging 5
  • Genetics 47
  • Complementary and alternative medicine 12
Replace Frédéric Guèrin with:
Frédéric Guèrin France
Ruian Yang China
Deepak Khuperkar India
Yuko Yamanaka Japan
Miklós Képiró Hungary
Nicolas Dénervaud Switzerland
Kenneth Lyon United States
Amanda Haupt United States
Gurpreet Kaur Australia
Boxun Li United States
Peter Suzuki relative to Frédéric Guèrin France Frédéric Guèrin's profile →
Citations per field
00.5×
Frédéric Guèrin · 1×
Citations per year

Countries citing papers authored by Peter Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Peter Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2023107
2 202090
3 202378
4 202056
5 201843
6 202042
7 200629
8 195815
9 196411
10 20252
11 19961
12 20260

About Peter Suzuki

Peter Suzuki is a scholar working on Molecular Biology, Political Science and International Relations, Urban Studies, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 474 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Single-cell and spatial transcriptomics (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers), Cardiovascular and exercise physiology (1 paper), Ubiquitin and proteasome pathways (1 paper), Muscle Physiology and Disorders (1 paper) and Turkey's Politics and Society (1 paper). The work is most often cited by research in Biophysics (31 citations), Molecular Biology (307 citations), Aging (5 citations), Genetics (47 citations) and Complementary and alternative medicine (12 citations). Peter Suzuki has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Polly M. Fordyce, Kaitlyn Spees, Michael C. Bassik, Adi Mukund, Nicole DelRosso, Anshul Kundaje, Josh Tycko, Aradhana, Lacramioara Bintu and Arjun K. Aditham. Their work appears in journals such as Nature, Molecular Therapy, International Journal of Comparative Sociology, Brazilian Journal of Medical and Biological Research and Analytical Chemistry.

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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