Jonathan S. Packer
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Biophysics top 0.5%
- Cell Image Analysis Techniques
Papers in
-
- Single-cell and spatial transcriptomics 8
- Advanced biosensing and bioanalysis techniques 3
- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 2
- Gene Regulatory Network Analysis 2
- CRISPR and Genetic Engineering 2
- Muscle Physiology and Disorders 1
- Aging 2
- Genetics, Aging, and Longevity in Model Organisms 2
- Co-authors
- Cole Trapnell (11 shared papers)Xiaojie Qiu (4 shared papers)Andrew J. Hill (3 shared papers)Yi-An Ma (1 shared paper)Dejun Lin (1 shared paper)Jay Shendure (6 shared papers)Frank J. Steemers (4 shared papers)Riza M. Daza (4 shared papers)
- Journals
- Science (5 papers)Nature Methods (2 papers)Bioinformatics (1 paper)iScience (1 paper)eLife (1 paper)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Jonathan S. Packer
12 papers receiving 4.2k citations
Jonathan S. Packer's Hit Papers
Peers
Comparison fields: 5 of 121
- Aging 353
- Biophysics 388
- Cancer Research 666
- Molecular Biology 3.1k
- Immunology 614
Countries citing papers authored by Jonathan S. Packer
This map shows the geographic impact of Jonathan S. Packer'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 S. Packer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan S. Packer more than expected).
Fields of papers citing papers by Jonathan S. Packer
This network shows the impact of papers produced by Jonathan S. Packer. 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 S. Packer. The network helps show where Jonathan S. Packer may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan S. Packer, 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 | Single-cell mRNA quantification and differential analysis with Census Hit paper breakdown → | 2017 | 1139 |
| 2 | Comprehensive single-cell transcriptional profiling of a multicellular organism Hit paper breakdown → | 2017 | 929 |
| 3 | Joint profiling of chromatin accessibility and gene expression in thousands of single cells Hit paper breakdown → | 2018 | 621 |
| 4 | Cicero Predicts cis-Regulatory DNA Interactions from Single-Cell Chromatin Accessibility Data Hit paper breakdown → | 2018 | 439 |
| 5 | A lineage-resolved molecular atlas of C. elegans embryogenesis at single-cell resolution Hit paper breakdown → | 2019 | 320 |
| 6 | 2019 | 215 | |
| 7 | 2021 | 180 | |
| 8 | 2018 | 142 | |
| 9 | 2019 | 112 | |
| 10 | 2018 | 63 | |
| 11 | 2015 | 52 | |
| 12 | 2024 | 2 |
About Jonathan S. Packer
Jonathan S. Packer is a scholar working on Molecular Biology, Aging, Ecology, Cell Biology and Genetics, having authored 12 papers that have together received 4.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), Advanced biosensing and bioanalysis techniques (3 papers), RNA Research and Splicing (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Genomics and Chromatin Dynamics (2 papers), Gene Regulatory Network Analysis (2 papers), CRISPR and Genetic Engineering (2 papers) and Muscle Physiology and Disorders (1 paper). The work is most often cited by research in Aging (353 citations), Biophysics (388 citations), Cancer Research (666 citations), Molecular Biology (3.1k citations) and Immunology (614 citations). Jonathan S. Packer has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Cole Trapnell, Xiaojie Qiu, Andrew J. Hill, Yi-An Ma, Dejun Lin, Jay Shendure, Frank J. Steemers, Riza M. Daza, Darren A. Cusanovich and Andrew Adey. Their work appears in journals such as Science, Nature Methods, Bioinformatics, iScience and eLife.
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.