Rob Patro
- Molecular Biology top 1%
- Genomics and Phylogenetic Studies 31
- Gene expression and cancer classification 15
- Single-cell and spatial transcriptomics 13
- Molecular Biology Techniques and Applications 10
- RNA modifications and cancer 8
- Bioinformatics and Genomic Networks 7
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 7
- Aging top 2%
- Immunology top 2%
- Plant Science top 1%
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- Algorithms and Data Compression 12
- Co-authors
- Carl KingsfordMichael I. LoveGeet DuggalRafael A. IrizarryStephen M. MountRichard Smith-UnnaChris BoursnellJulian M. Hibberd
- Journals
- Bioinformatics (24 papers)Genome biology (5 papers)Algorithms for Molecular Biology (4 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Rob Patro
57 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Molecular Biology 5.7k
- Cancer Research 1.1k
- Aging 110
- Immunology 1.0k
- 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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 10 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 22 | |
| 8 | 2022 | 43 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 16 | |
| 11 | 2021 | 1 | |
| 12 | 2021 | 15 | |
| 13 | 2020 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2019 | 58 | |
| 16 | 2018 | 38 | |
| 17 | 2017 | 47 | |
| 18 | 2017 | 4 | |
| 19 | 2016 | 70 | |
| 20 | 2015 | 28 |
About Rob Patro
Rob Patro is a scholar working on Molecular Biology, Cancer Research, Artificial Intelligence, Computer Graphics and Computer-Aided Design and Computer Networks and Communications, having authored 62 papers that have together received 9.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (31 papers), Gene expression and cancer classification (15 papers), Single-cell and spatial transcriptomics (13 papers), Algorithms and Data Compression (12 papers), Molecular Biology Techniques and Applications (10 papers), RNA modifications and cancer (8 papers), Bioinformatics and Genomic Networks (7 papers) and Cancer-related molecular mechanisms research (7 papers). The work is most often cited by research in Molecular Biology (5.7k citations), Cancer Research (1.1k citations), Aging (110 citations), Immunology (1.0k citations) and Plant Science (1.4k citations). Rob Patro has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Carl Kingsford, Michael I. Love, Geet Duggal, Rafael A. Irizarry, Stephen M. Mount, Richard Smith-Unna, Chris Boursnell, Julian M. Hibberd, Steven Kelly and Avi Srivastava. Their work appears in journals such as Bioinformatics, Genome biology, Algorithms for Molecular 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.