Jonathan Scheiman
Impact in
- Aging top 2%
- Molecular Biology top 2%
- CRISPR and Genetic Engineering
- Single-cell and spatial transcriptomics
- Gut microbiota and health
- RNA and protein synthesis mechanisms
- Advanced biosensing and bioanalysis techniques
- Pluripotent Stem Cells Research
Papers in
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- RNA Research and Splicing 3
- Gut microbiota and health 2
- Molecular Biology Techniques and Applications 2
- RNA and protein synthesis mechanisms 1
- Pluripotent Stem Cells Research 1
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- Cell Adhesion Molecules Research 2
- Co-authors
- George M. Church (4 shared papers)John Aach (3 shared papers)Joyce Yang (2 shared papers)Brian M. Turczyk (2 shared papers)Reza Kalhor (2 shared papers)Evan R Daugharthy (2 shared papers)Je Hyuk Lee (2 shared papers)Thomas C. Ferrante (2 shared papers)
- Journals
- Nature Medicine (1 paper)iScience (1 paper)Microbiome (1 paper)Nature Methods (1 paper)Nature Protocols (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Jonathan Scheiman
8 papers receiving 3.0k citations
Jonathan Scheiman's Hit Papers
Peers
Comparison fields: 5 of 124
- Aging 128
- Molecular Biology 2.6k
- Biophysics 215
- Business and International Management 74
- Cancer Research 300
Countries citing papers authored by Jonathan Scheiman
This map shows the geographic impact of Jonathan Scheiman'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 Jonathan Scheiman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Scheiman more than expected).
Fields of papers citing papers by Jonathan Scheiman
This network shows the impact of papers produced by Jonathan Scheiman. 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 Jonathan Scheiman. The network helps show where Jonathan Scheiman may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Scheiman, 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 | Highly efficient Cas9-mediated transcriptional programming Hit paper breakdown → | 2015 | 1208 |
| 2 | Highly Multiplexed Subcellular RNA Sequencing in Situ Hit paper breakdown → | 2014 | 705 |
| 3 | Meta-omics analysis of elite athletes identifies a performance-enhancing microbe that functions via lactate metabolism Hit paper breakdown → | 2019 | 603 |
| 4 | 2015 | 395 | |
| 5 | 2009 | 62 | |
| 6 | 2010 | 34 | |
| 7 | 2023 | 18 | |
| 8 | 2025 | 6 |
About Jonathan Scheiman
Jonathan Scheiman is a scholar working on Molecular Biology, Immunology and Allergy, Radiology, Nuclear Medicine and Imaging, Physiology and Nutrition and Dietetics, having authored 8 papers that have together received 3.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Gut microbiota and health (2 papers), Cell Adhesion Molecules Research (2 papers), Molecular Biology Techniques and Applications (2 papers), RNA and protein synthesis mechanisms (1 paper), Microbial Metabolites in Food Biotechnology (1 paper), Immunotherapy and Immune Responses (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Aging (128 citations), Molecular Biology (2.6k citations), Biophysics (215 citations), Business and International Management (74 citations) and Cancer Research (300 citations). Jonathan Scheiman has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include George M. Church, John Aach, Joyce Yang, Brian M. Turczyk, Reza Kalhor, Evan R Daugharthy, Je Hyuk Lee, Thomas C. Ferrante, Samira Kiani and Christopher D. Guzman. Their work appears in journals such as Nature Medicine, iScience, Microbiome, Nature Methods and Nature Protocols.
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.