Peter Suzuki
Impact in
- Biophysics top 10%
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- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- RNA Research and Splicing
- Single-cell and spatial transcriptomics
- Muscle Physiology and Disorders
- Genomics and Phylogenetic Studies
Papers in
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- RNA and protein synthesis mechanisms 3
- Single-cell and spatial transcriptomics 2
- Genomics and Chromatin Dynamics 2
- RNA Research and Splicing 2
- Protein Degradation and Inhibitors 1
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- Turkey's Politics and Society 1
- Co-authors
- Polly M. Fordyce (5 shared papers)Anshul Kundaje (2 shared papers)Nicole DelRosso (3 shared papers)Aradhana (2 shared papers)Josh Tycko (2 shared papers)Michael C. Bassik (2 shared papers)Adi Mukund (2 shared papers)Lacramioara Bintu (2 shared papers)
- Journals
- Nature (2 papers)Molecular Therapy (1 paper)European Planning Studies (1 paper)Science (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Peter Suzuki
10 papers receiving 421 citations
Peter Suzuki's Hit Papers
Peers
Comparison fields: 5 of 95
- Biophysics 29
- Molecular Biology 300
- Aging 5
- Genetics 48
- Complementary and alternative medicine 13
Countries citing papers authored by Peter Suzuki
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Short tandem repeats bind transcription factors to tune eukaryotic gene expression Hit paper breakdown → | 2023 | 98 |
| 2 | 2020 | 79 | |
| 3 | 2023 | 72 | |
| 4 | 2020 | 53 | |
| 5 | 2018 | 42 | |
| 6 | 2020 | 40 | |
| 7 | 2006 | 27 | |
| 8 | 1964 | 9 | |
| 9 | 1958 | 5 | |
| 10 | 2025 | 2 | |
| 11 | 1996 | 1 | |
| 12 | 2026 | 0 |
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 428 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), interferon and immune responses (1 paper), Cell Image Analysis Techniques (1 paper), Protein Degradation and Inhibitors (1 paper) and Turkey's Politics and Society (1 paper). The work is most often cited by research in Biophysics (29 citations), Molecular Biology (300 citations), Aging (5 citations), Genetics (48 citations) and Complementary and alternative medicine (13 citations). Peter Suzuki has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Polly M. Fordyce, Anshul Kundaje, Nicole DelRosso, Aradhana, Josh Tycko, Michael C. Bassik, Adi Mukund, Lacramioara Bintu, Kaitlyn Spees and William J. Greenleaf. Their work appears in journals such as Nature, Molecular Therapy, European Planning Studies, Science and Nature Communications.
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.