Rose Oughtred
- Molecular Biology top 1%
- Bioinformatics and Genomic Networks 15
- Biomedical Text Mining and Ontologies 7
- Ubiquitin and proteasome pathways 5
- Fungal and yeast genetics research 4
- Genomics and Phylogenetic Studies 4
- Microbial Metabolic Engineering and Bioproduction 4
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 3
- Aging top 5%
- Cell Biology top 5%
- Cancer Research top 5%
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- Genomics and Rare Diseases 3
- Co-authors
- Kara DolinskiMike TyersLorrie BoucherBobby‐Joe BreitkreutzJennifer RustAndrew Chatr‐aryamontriChris StarkChristie Chang
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Rose Oughtred
24 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 4.8k
- Computational Theory and Mathematics 884
- Aging 86
- Cell Biology 401
- Cancer Research 350
Countries citing papers authored by Rose Oughtred
This map shows the geographic impact of Rose Oughtred'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 Rose Oughtred with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rose Oughtred more than expected).
Fields of papers citing papers by Rose Oughtred
This network shows the impact of papers produced by Rose Oughtred. 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 Rose Oughtred. The network helps show where Rose Oughtred may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rose Oughtred, 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 | 2023 | 17 | |
| 2 | The | 2020 | 949 |
| 3 | 2019 | 35 | |
| 4 | 2019 | 19 | |
| 5 | The BioGRID interaction database: 2019 updatebreakdown → | 2018 | 934 |
| 6 | 2016 | 68 | |
| 7 | The BioGRID interaction database: 2017 updatebreakdown → | 2016 | 705 |
| 8 | 2016 | 23 | |
| 9 | 2016 | 1 | |
| 10 | 2014 | 19 | |
| 11 | 2013 | 83 | |
| 12 | The BioGRID interaction database: 2013 updatebreakdown → | 2012 | 728 |
| 13 | 2011 | 3 | |
| 14 | The BioGRID Interaction Database: 2011 updatebreakdown → | 2010 | 681 |
| 15 | The BioGRID Interaction Database: 2008 updatebreakdown → | 2007 | 540 |
| 16 | 2007 | 66 | |
| 17 | 2006 | 235 | |
| 18 | 2005 | 112 | |
| 19 | 2003 | 1 | |
| 20 | 1998 | 15 |
About Rose Oughtred
Rose Oughtred is a scholar working on Molecular Biology, Computational Theory and Mathematics, Information Systems and Management, Genetics and Neurology, having authored 24 papers that have together received 5.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (15 papers), Biomedical Text Mining and Ontologies (7 papers), Ubiquitin and proteasome pathways (5 papers), Fungal and yeast genetics research (4 papers), Genomics and Phylogenetic Studies (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Genomics and Rare Diseases (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Molecular Biology (4.8k citations), Computational Theory and Mathematics (884 citations), Aging (86 citations), Cell Biology (401 citations) and Cancer Research (350 citations). Rose Oughtred has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Kara Dolinski, Mike Tyers, Lorrie Boucher, Bobby‐Joe Breitkreutz, Jennifer Rust, Andrew Chatr‐aryamontri, Chris Stark, Christie Chang, Nadine K. Kolas and Lara O’Donnell. Their work appears in journals such as Nucleic Acids Research, Database, Bioinformatics, PLANT PHYSIOLOGY and Endocrinology.
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.