Cole Trapnell is a scholar working on Molecular Biology, Cancer Research and Cell Biology.
According to data from OpenAlex, Cole Trapnell has authored 102 papers receiving a total of 85.0k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Molecular Biology, 13 papers in Cancer Research and 12 papers in Cell Biology. Recurrent topics in Cole Trapnell's work include Single-cell and spatial transcriptomics (54 papers), RNA Research and Splicing (26 papers) and RNA modifications and cancer (14 papers). Cole Trapnell is often cited by papers focused on Single-cell and spatial transcriptomics (54 papers), RNA Research and Splicing (26 papers) and RNA modifications and cancer (14 papers). Cole Trapnell collaborates with scholars based in United States, Germany and South Africa. Cole Trapnell's co-authors include Steven L. Salzberg, Lior Pachter, Mihai Pop, Ben Langmead, Geo Pertea, Harold Pimentel, John L. Rinn, Daehwan Kim, Loyal A. Goff and Ryan Kelley and has published in prestigious journals such as Nature, Science and Cell.
In The Last Decade
Cole Trapnell
98 papers
receiving
84.4k citations
Hit Papers
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome
200916.3k citationsCole Trapnell, Steven L. Salzberg et al.Genome biologyprofile →
Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation
201011.7k citationsCole Trapnell, Geo Pertea et al.Nature Biotechnologyprofile →
TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions
20139.4k citationsDaehwan Kim, Geo Pertea et al.Genome biologyprofile →
Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks
20129.2k citationsCole Trapnell, Geo Pertea et al.profile →
TopHat: discovering splice junctions with RNA-Seq
20099.1k citationsCole Trapnell, Lior Pachter et al.profile →
The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
20144.0k citationsCole Trapnell et al.Nature Biotechnologyprofile →
Integrative annotation of human large intergenic noncoding RNAs reveals global properties and specific subclasses
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).
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 of co-authors of Cole Trapnell
This figure shows the co-authorship network connecting the top 25 collaborators of Cole Trapnell.
A scholar is included among the top collaborators of Cole Trapnell based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Cole Trapnell. Cole Trapnell is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lotfollahi, Mohammad, Carlo De Donno, Leon Hetzel, et al.. (2023). Predicting cellular responses to complex perturbations in high‐throughput screens. Molecular Systems Biology. 19(6). e11517–e11517.97 indexed citations breakdown →
Cao, Junyue, Diana R. O’Day, Hannah A. Pliner, et al.. (2020). A human cell atlas of fetal gene expression. Science. 370(6518).383 indexed citations breakdown →
Packer, Jonathan S., Qin Zhu, Chau Huynh, et al.. (2019). A lineage-resolved molecular atlas of C. elegans embryogenesis at single-cell resolution. Science. 365(6459).301 indexed citations breakdown →
Cao, Junyue, Darren A. Cusanovich, Vijay Ramani, et al.. (2018). Joint profiling of chromatin accessibility and gene expression in thousands of single cells. Science. 361(6409). 1380–1385.585 indexed citations breakdown →
17.
Cao, Junyue, Jonathan S. Packer, Vijay Ramani, et al.. (2017). Comprehensive single-cell transcriptional profiling of a multicellular organism. Science. 357(6352). 661–667.896 indexed citations breakdown →
Kim, Daehwan, Geo Pertea, Cole Trapnell, et al.. (2013). TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions. Genome biology. 14(4). R36–R36.9419 indexed citations breakdown →
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
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