Rob Patro
Impact in
- Molecular Biology top 1%
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- RNA modifications and cancer
- Single-cell and spatial transcriptomics
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics and Phylogenetic Studies 26
- Single-cell and spatial transcriptomics 16
- Gene expression and cancer classification 8
- Molecular Biology Techniques and Applications 8
- Genomics and Chromatin Dynamics 7
- RNA Research and Splicing 6
- Bioinformatics and Genomic Networks 6
-
- Algorithms and Data Compression 11
- Co-authors
- Carl Kingsford (17 shared papers)Michael I. Love (12 shared papers)Geet Duggal (6 shared papers)Rafael A. Irizarry (1 shared paper)Stephen M. Mount (1 shared paper)Julian M. Hibberd (1 shared paper)Chris Boursnell (1 shared paper)Steven Kelly (1 shared paper)
- Journals
- Bioinformatics (24 papers)Algorithms for Molecular Biology (5 papers)Genome biology (5 papers)Nature Methods (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Rob Patro
66 papers receiving 9.8k citations
Rob Patro's Hit Papers
Peers
Comparison fields: 5 of 173
- Molecular Biology 5.5k
- Cancer Research 913
- Aging 112
- Immunology 948
- Plant Science 1.4k
Countries citing papers authored by Rob Patro
This map shows the geographic impact of Rob Patro'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 Rob Patro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob Patro more than expected).
Fields of papers citing papers by Rob Patro
This network shows the impact of papers produced by Rob Patro. 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 Rob Patro. The network helps show where Rob Patro may publish in the future.
Co-authors
The 25 scholars most cited alongside Rob Patro, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Salmon provides fast and bias-aware quantification of transcript expression Hit paper breakdown → | 2017 | 7065 |
| 2 | TransRate: reference-free quality assessment of de novo transcriptome assemblies Hit paper breakdown → | 2016 | 577 |
| 3 | 2014 | 421 | |
| 4 | 2020 | 185 | |
| 5 | 2019 | 150 | |
| 6 | 2014 | 148 | |
| 7 | 2012 | 144 | |
| 8 | 2017 | 95 | |
| 9 | 2019 | 94 | |
| 10 | 2020 | 89 | |
| 11 | 2016 | 75 | |
| 12 | 2019 | 66 | |
| 13 | 2018 | 59 | |
| 14 | 2017 | 54 | |
| 15 | 2022 | 48 | |
| 16 | 2018 | 43 | |
| 17 | 2015 | 39 | |
| 18 | 2015 | 35 | |
| 19 | 2021 | 32 | |
| 20 | 2015 | 31 |
About Rob Patro
Rob Patro is a scholar working on Molecular Biology, Artificial Intelligence, Cancer Research, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 72 papers that have together received 9.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (26 papers), Single-cell and spatial transcriptomics (16 papers), Algorithms and Data Compression (11 papers), Gene expression and cancer classification (8 papers), Molecular Biology Techniques and Applications (8 papers), Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (6 papers) and Bioinformatics and Genomic Networks (6 papers). The work is most often cited by research in Molecular Biology (5.5k citations), Cancer Research (913 citations), Aging (112 citations), Immunology (948 citations) and Plant Science (1.4k citations). Rob Patro has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Carl Kingsford, Michael I. Love, Geet Duggal, Rafael A. Irizarry, Stephen M. Mount, Julian M. Hibberd, Chris Boursnell, Steven Kelly, Richard Smith-Unna and Avi Srivastava. Their work appears in journals such as Bioinformatics, Algorithms for Molecular Biology, Genome biology, Nature Methods and PLoS Computational Biology.
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.