Lior Pachter
Impact in
- Cancer Research top 0.05%
- Cancer-related molecular mechanisms research
- Molecular Biology top 0.02%
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
Papers in
-
- Genomics and Phylogenetic Studies 69
- Single-cell and spatial transcriptomics 38
- RNA and protein synthesis mechanisms 36
- RNA Research and Splicing 27
- RNA modifications and cancer 26
- Gene expression and cancer classification 25
- Genomics and Chromatin Dynamics 21
- Gene Regulatory Network Analysis 17
- Genetics 25
- Co-authors
- Cole Trapnell (11 shared papers)Steven L. Salzberg (3 shared papers)Harold Pimentel (10 shared papers)Geo Pertea (2 shared papers)Adam Roberts (10 shared papers)Nicolas Bray (11 shared papers)John L. Rinn (3 shared papers)Páll Melsted (8 shared papers)
- Journals
- Bioinformatics (17 papers)Genome Research (14 papers)PLoS Computational Biology (10 papers)PLoS ONE (8 papers)Nature Biotechnology (7 papers)
- Partner nations
- United StatesIcelandUnited Kingdom
In The Last Decade
Lior Pachter
172 papers receiving 54.6k citations
Lior Pachter's Hit Papers
Peers
Comparison fields: 5 of 212
- Cancer Research 8.1k
- Molecular Biology 36.2k
- Aging 668
- Plant Science 12.4k
- Genetics 7.7k
Countries citing papers authored by Lior Pachter
This map shows the geographic impact of Lior Pachter'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 Lior Pachter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lior Pachter more than expected).
Fields of papers citing papers by Lior Pachter
This network shows the impact of papers produced by Lior Pachter. 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 Lior Pachter. The network helps show where Lior Pachter may publish in the future.
Co-authors
The 25 scholars most cited alongside Lior Pachter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 175 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation Hit paper breakdown → | 2010 | 11696 |
| 2 | Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks Hit paper breakdown → | 2012 | 9164 |
| 3 | TopHat: discovering splice junctions with RNA-Seq Hit paper breakdown → | 2009 | 9102 |
| 4 | Near-optimal probabilistic RNA-seq quantification Hit paper breakdown → | 2016 | 5454 |
| 5 | Differential analysis of gene regulation at transcript resolution with RNA-seq Hit paper breakdown → | 2012 | 2628 |
| 6 | VISTA: computational tools for comparative genomics Hit paper breakdown → | 2004 | 2068 |
| 7 | Disordered Microbial Communities in Asthmatic Airways Hit paper breakdown → | 2010 | 1284 |
| 8 | Improving RNA-Seq expression estimates by correcting for fragment bias Hit paper breakdown → | 2011 | 1183 |
| 9 | Differential analysis of RNA-seq incorporating quantification uncertainty Hit paper breakdown → | 2017 | 901 |
| 10 | VISTA : visualizing global DNA sequence alignments of arbitrary length Hit paper breakdown → | 2000 | 830 |
| 11 | Streaming fragment assignment for real-time analysis of sequencing experiments Hit paper breakdown → | 2012 | 750 |
| 12 | Identification of novel transcripts in annotated genomes using RNA-Seq Hit paper breakdown → | 2011 | 750 |
| 13 | Museum of spatial transcriptomics Hit paper breakdown → | 2022 | 544 |
| 14 | Population Genomics: Whole-Genome Analysis of Polymorphism and Divergence in Drosophila simulans Hit paper breakdown → | 2007 | 514 |
| 15 | 2003 | 397 | |
| 16 | 2002 | 365 | |
| 17 | 2002 | 353 | |
| 18 | 2006 | 345 | |
| 19 | Multiplexed RNA structure characterization with selective 2′-hydroxyl acylation analyzed by primer extension sequencing (SHAPE-Seq) Hit paper breakdown → | 2011 | 312 |
| 20 | 2000 | 267 |
About Lior Pachter
Lior Pachter is a scholar working on Molecular Biology, Genetics, Cancer Research, Plant Science and Artificial Intelligence, having authored 175 papers that have together received 55.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (69 papers), Single-cell and spatial transcriptomics (38 papers), RNA and protein synthesis mechanisms (36 papers), RNA Research and Splicing (27 papers), RNA modifications and cancer (26 papers), Gene expression and cancer classification (25 papers), Genomics and Chromatin Dynamics (21 papers) and Gene Regulatory Network Analysis (17 papers). The work is most often cited by research in Cancer Research (8.1k citations), Molecular Biology (36.2k citations), Aging (668 citations), Plant Science (12.4k citations) and Genetics (7.7k citations). Lior Pachter has collaborated with scholars based in United States, Iceland and United Kingdom. Frequent co-authors include Cole Trapnell, Steven L. Salzberg, Harold Pimentel, Geo Pertea, Adam Roberts, Nicolas Bray, John L. Rinn, Páll Melsted, Loyal A. Goff and B Wold. Their work appears in journals such as Bioinformatics, Genome Research, PLoS Computational Biology, PLoS ONE and Nature Biotechnology.
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.