Tara Chari
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
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- Single-cell and spatial transcriptomics
- RNA Research and Splicing
- Gene Regulatory Network Analysis
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Gene expression and cancer classification
Papers in
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- Single-cell and spatial transcriptomics 7
- Gene Regulatory Network Analysis 5
- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 1
- Gene expression and cancer classification 1
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- Cell Image Analysis Techniques 2
- Co-authors
- Lior Pachter (8 shared papers)Gennady Gorin (5 shared papers)Brandon Weissbourd (1 shared paper)Jase Gehring (1 shared paper)Lucas Leclère (1 shared paper)Sandra Chevalier (1 shared paper)Richard R. Copley (1 shared paper)Evelyn Houliston (1 shared paper)
- Journals
- Nature Methods (2 papers)PLoS Computational Biology (2 papers)Nature Biotechnology (1 paper)Science Advances (1 paper)Nature Computational Science (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Tara Chari
9 papers receiving 412 citations
Tara Chari's Hit Papers
Peers
Comparison fields: 5 of 76
- Biophysics 56
- Molecular Biology 298
- Paleontology 32
- Cancer Research 33
- Immunology 30
Countries citing papers authored by Tara Chari
This map shows the geographic impact of Tara Chari'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 Tara Chari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tara Chari more than expected).
Fields of papers citing papers by Tara Chari
This network shows the impact of papers produced by Tara Chari. 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 Tara Chari. The network helps show where Tara Chari may publish in the future.
Co-authors
The 24 scholars most cited alongside Tara Chari, 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 | The specious art of single-cell genomics Hit paper breakdown → | 2023 | 160 |
| 2 | 2022 | 86 | |
| 3 | Genome organization around nuclear speckles drives mRNA splicing efficiency Hit paper breakdown → | 2024 | 70 |
| 4 | 2021 | 63 | |
| 5 | 2024 | 16 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 6 | |
| 8 | 2025 | 4 | |
| 9 | 2025 | 3 |
About Tara Chari
Tara Chari is a scholar working on Molecular Biology, Biophysics, Infectious Diseases, Ecology and Neurology, having authored 9 papers that have together received 415 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Gene Regulatory Network Analysis (5 papers), RNA Research and Splicing (3 papers), Cell Image Analysis Techniques (2 papers), Genomics and Chromatin Dynamics (1 paper), Viral gastroenteritis research and epidemiology (1 paper), Barrier Structure and Function Studies (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Biophysics (56 citations), Molecular Biology (298 citations), Paleontology (32 citations), Cancer Research (33 citations) and Immunology (30 citations). Tara Chari has collaborated with scholars based in United States and France. Frequent co-authors include Lior Pachter, Gennady Gorin, Brandon Weissbourd, Jase Gehring, Lucas Leclère, Sandra Chevalier, Richard R. Copley, Evelyn Houliston, David J. Anderson and Fan Gao. Their work appears in journals such as Nature Methods, PLoS Computational Biology, Nature Biotechnology, Science Advances and Nature Computational Science.
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.