Jon Bezney
Impact in
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- Cell Image Analysis Techniques
Papers in
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- Single-cell and spatial transcriptomics 6
- CRISPR and Genetic Engineering 3
- RNA Research and Splicing 2
- Congenital heart defects research 1
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- Cell Image Analysis Techniques 2
- Advanced Fluorescence Microscopy Techniques 1
- Co-authors
- Brian Cleary (4 shared papers)Brooke Simonton (4 shared papers)Aviv Regev (3 shared papers)Loïc Binan (2 shared papers)Aiping Jiang (1 shared paper)Basak Eraslan (1 shared paper)Ralda Nehme (1 shared paper)Vera Valakh (1 shared paper)
- Journals
- Nature Biotechnology (2 papers)Nature (2 papers)Cell (1 paper)Science Translational Medicine (1 paper)Journal of the American College of Cardiology (1 paper)
- Partner nations
- United StatesGermanyGambia
In The Last Decade
Jon Bezney
8 papers receiving 153 citations
Jon Bezney's Hit Papers
Peers
Comparison fields: 5 of 51
- Biophysics 18
- Modeling and Simulation 8
- Infectious Diseases 26
- Molecular Biology 90
- Aging 2
Countries citing papers authored by Jon Bezney
This map shows the geographic impact of Jon Bezney'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 Jon Bezney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Bezney more than expected).
Fields of papers citing papers by Jon Bezney
This network shows the impact of papers produced by Jon Bezney. 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 Jon Bezney. The network helps show where Jon Bezney may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon Bezney, 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 | 2023 | 39 | |
| 2 | Simultaneous CRISPR screening and spatial transcriptomics reveal intracellular, intercellular, and functional transcriptional circuits Hit paper breakdown → | 2025 | 33 |
| 3 | 2021 | 32 | |
| 4 | 2021 | 27 | |
| 5 | 2025 | 10 | |
| 6 | 2024 | 8 | |
| 7 | 2025 | 4 | |
| 8 | 2023 | 1 |
About Jon Bezney
Jon Bezney is a scholar working on Molecular Biology, Biophysics, Infectious Diseases, Pediatrics, Perinatology and Child Health and Immunology, having authored 8 papers that have together received 154 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), CRISPR and Genetic Engineering (3 papers), Cell Image Analysis Techniques (2 papers), RNA Research and Splicing (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), Congenital heart defects research (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper) and Advanced Fluorescence Microscopy Techniques (1 paper). The work is most often cited by research in Biophysics (18 citations), Modeling and Simulation (8 citations), Infectious Diseases (26 citations), Molecular Biology (90 citations) and Aging (2 citations). Jon Bezney has collaborated with scholars based in United States, Germany and Gambia. Frequent co-authors include Brian Cleary, Brooke Simonton, Aviv Regev, Loïc Binan, Aiping Jiang, Basak Eraslan, Ralda Nehme, Vera Valakh, Douglas Yao and Alexander Gusev. Their work appears in journals such as Nature Biotechnology, Nature, Cell, Science Translational Medicine and Journal of the American College of Cardiology.
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.