Hunter Nisonoff
Impact in
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- Single-cell and spatial transcriptomics
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- CRISPR and Genetic Engineering
Papers in
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- RNA and protein synthesis mechanisms 5
- Protein Structure and Dynamics 3
- Genomics and Phylogenetic Studies 2
- Single-cell and spatial transcriptomics 1
- Co-authors
- Pablo Gaínza (2 shared papers)Bruce R. Donald (2 shared papers)Jennifer Listgarten (3 shared papers)Eric D. Chow (1 shared paper)Cody T. Mowery (1 shared paper)James Lee (1 shared paper)Jonathan M. Woo (1 shared paper)Yun S. Song (1 shared paper)
- Journals
- Nature Communications (2 papers)Bioinformatics (1 paper)Journal of Computational Chemistry (1 paper)Global Public Health (1 paper)Current Opinion in Structural Biology (1 paper)
- Partner nations
- United States
In The Last Decade
Hunter Nisonoff
9 papers receiving 268 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 215
- Biophysics 18
- Cancer Research 25
- Business and International Management 3
- Computational Theory and Mathematics 24
Countries citing papers authored by Hunter Nisonoff
This map shows the geographic impact of Hunter Nisonoff'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 Hunter Nisonoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hunter Nisonoff more than expected).
Fields of papers citing papers by Hunter Nisonoff
This network shows the impact of papers produced by Hunter Nisonoff. 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 Hunter Nisonoff. The network helps show where Hunter Nisonoff may publish in the future.
Co-authors
The 25 scholars most cited alongside Hunter Nisonoff, 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 | 2021 | 85 | |
| 2 | 2016 | 56 | |
| 3 | 2018 | 48 | |
| 4 | 2023 | 23 | |
| 5 | 2021 | 23 | |
| 6 | 2016 | 15 | |
| 7 | 2024 | 11 | |
| 8 | 2023 | 7 | |
| 9 | 2024 | 1 |
About Hunter Nisonoff
Hunter Nisonoff is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Anthropology, Finance and Computational Theory and Mathematics, having authored 9 papers that have together received 269 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Protein Structure and Dynamics (3 papers), Genomics and Phylogenetic Studies (2 papers), Healthcare Systems and Reforms (1 paper), Cancer Genomics and Diagnostics (1 paper), Enzyme Structure and Function (1 paper), Single-cell and spatial transcriptomics (1 paper) and Anthropological Studies and Insights (1 paper). The work is most often cited by research in Molecular Biology (215 citations), Biophysics (18 citations), Cancer Research (25 citations), Business and International Management (3 citations) and Computational Theory and Mathematics (24 citations). Hunter Nisonoff has collaborated with scholars based in United States. Frequent co-authors include Pablo Gaínza, Bruce R. Donald, Jennifer Listgarten, Eric D. Chow, Cody T. Mowery, James Lee, Jonathan M. Woo, Yun S. Song, Joshua Cantlon and Derek Bogdanoff. Their work appears in journals such as Nature Communications, Bioinformatics, Journal of Computational Chemistry, Global Public Health and Current Opinion in Structural 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.