Cole Trapnell
- Cancer Research top 0.01%
- Molecular Biology top 0.01%
- Single-cell and spatial transcriptomics 54
- RNA Research and Splicing 26
- RNA modifications and cancer 14
- Genomics and Phylogenetic Studies 11
- RNA and protein synthesis mechanisms 11
- Genomics and Chromatin Dynamics 11
- CRISPR and Genetic Engineering 9
- Aging top 0.1%
- Immunology top 0.05%
- Plant Science top 0.01%
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- Zebrafish Biomedical Research Applications 10
- Co-authors
- Steven L. SalzbergLior PachterBen LangmeadMihai PopGeo PerteaHarold PimentelJohn L. RinnDaehwan Kim
- Partner nations
- United StatesGermanySouth Africa
In The Last Decade
Cole Trapnell
98 papers receiving 84.4k citations
Hit Papers
Peers
Comparison fields: 5 of 206
- Cancer Research 16.6k
- Molecular Biology 58.9k
- Aging 1.2k
- Immunology 9.6k
- Plant Science 16.3k
Countries citing papers authored by Cole Trapnell
This map shows the geographic impact of Cole Trapnell'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 Cole Trapnell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cole Trapnell more than expected).
Fields of papers citing papers by Cole Trapnell
This network shows the impact of papers produced by Cole Trapnell. 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 Cole Trapnell. The network helps show where Cole Trapnell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cole Trapnell, 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 | 2025 | 0 | |
| 2 | 2024 | 13 | |
| 3 | Predicting cellular responses to complex perturbations in high‐throughput screensbreakdown → | 2023 | 97 |
| 4 | 2022 | 45 | |
| 5 | 2022 | 61 | |
| 6 | 2022 | 28 | |
| 7 | 2022 | 33 | |
| 8 | 2022 | 85 | |
| 9 | 2021 | 16 | |
| 10 | 2021 | 170 | |
| 11 | 2020 | 26 | |
| 12 | 2020 | 30 | |
| 13 | 2020 | 105 | |
| 14 | 2020 | 230 | |
| 15 | 2019 | 198 | |
| 16 | A lineage-resolved molecular atlas of C. elegans embryogenesis at single-cell resolutionbreakdown → | 2019 | 301 |
| 17 | 2019 | 107 | |
| 18 | Joint profiling of chromatin accessibility and gene expression in thousands of single cellsbreakdown → | 2018 | 585 |
| 19 | Multiplex single-cell profiling of chromatin accessibility by combinatorial cellular indexingbreakdown → | 2015 | 829 |
| 20 | Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiationbreakdown → | 2010 | 11696 |
About Cole Trapnell
Cole Trapnell is a scholar working on Aging, Biophysics and Molecular Biology, having authored 102 papers that have together received 85.0k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (54 papers), RNA Research and Splicing (26 papers), RNA modifications and cancer (14 papers), Genomics and Phylogenetic Studies (11 papers), RNA and protein synthesis mechanisms (11 papers), Genomics and Chromatin Dynamics (11 papers), Zebrafish Biomedical Research Applications (10 papers) and CRISPR and Genetic Engineering (9 papers). The work is most often cited by research in Cancer Research (16.6k citations), Molecular Biology (58.9k citations) and Aging (1.2k citations). Cole Trapnell has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Steven L. Salzberg, Lior Pachter, Ben Langmead, Mihai Pop, Geo Pertea, Harold Pimentel, John L. Rinn, Daehwan Kim, Loyal A. Goff and Ryan Kelley. Their work appears in journals such as Science, Nature Biotechnology, eLife, Nature Methods and Cell.
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.