Lara O’Donnell
Impact in
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks
- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
- Machine Learning in Bioinformatics
- Gene expression and cancer classification
- RNA modifications and cancer
- Aging top 10%
Papers in
-
- Bioinformatics and Genomic Networks 4
- DNA Repair Mechanisms 3
- Biomedical Text Mining and Ontologies 3
- Ubiquitin and proteasome pathways 2
- Microbial Metabolic Engineering and Bioproduction 1
- Oncology 2
- Co-authors
- Kara Dolinski (4 shared papers)Mike Tyers (4 shared papers)Nadine K. Kolas (4 shared papers)Jennifer Rust (4 shared papers)Chris Stark (4 shared papers)Christie Chang (4 shared papers)Rose Oughtred (4 shared papers)Lorrie Boucher (4 shared papers)
- Journals
- Nucleic Acids Research (3 papers)Molecular and Cellular Biology (1 paper)Nature (1 paper)DNA repair (1 paper)Faculty of 1000 Research Ltd (1 paper)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Lara O’Donnell
7 papers receiving 2.9k citations
Lara O’Donnell's Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 2.3k
- Aging 35
- Computational Theory and Mathematics 314
- Cancer Research 221
- Cell Biology 223
Countries citing papers authored by Lara O’Donnell
This map shows the geographic impact of Lara O’Donnell'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 Lara O’Donnell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lara O’Donnell more than expected).
Fields of papers citing papers by Lara O’Donnell
This network shows the impact of papers produced by Lara O’Donnell. 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 Lara O’Donnell. The network helps show where Lara O’Donnell may publish in the future.
Co-authors
The 25 scholars most cited alongside Lara O’Donnell, 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 | The BioGRID interaction database: 2019 update Hit paper breakdown → | 2018 | 958 |
| 2 | The BioGRID interaction database: 2013 update Hit paper breakdown → | 2012 | 730 |
| 3 | The BioGRID interaction database: 2017 update Hit paper breakdown → | 2016 | 709 |
| 4 | 2010 | 297 | |
| 5 | 2010 | 176 | |
| 6 | 2012 | 27 | |
| 7 | 2016 | 1 |
About Lara O’Donnell
Lara O’Donnell is a scholar working on Molecular Biology, Oncology, Genetics, Pharmacology and Computational Theory and Mathematics, having authored 7 papers that have together received 2.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), DNA Repair Mechanisms (3 papers), Biomedical Text Mining and Ontologies (3 papers), Ubiquitin and proteasome pathways (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Computational Drug Discovery Methods (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Molecular Biology (2.3k citations), Aging (35 citations), Computational Theory and Mathematics (314 citations), Cancer Research (221 citations) and Cell Biology (223 citations). Lara O’Donnell has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Kara Dolinski, Mike Tyers, Nadine K. Kolas, Jennifer Rust, Chris Stark, Christie Chang, Rose Oughtred, Lorrie Boucher, Andrew Chatr‐aryamontri and Bobby‐Joe Breitkreutz. Their work appears in journals such as Nucleic Acids Research, Molecular and Cellular Biology, Nature, DNA repair and Faculty of 1000 Research Ltd.
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.