Jennifer Rust
Impact in
- Molecular Biology top 2%
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Microbial Metabolic Engineering and Bioproduction
- Machine Learning in Bioinformatics
- RNA modifications and cancer
- Protein Structure and Dynamics
- Gene Regulatory Network Analysis
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in ⓘ
-
- Bioinformatics and Genomic Networks 7
- Biomedical Text Mining and Ontologies 5
- Gene expression and cancer classification 2
- Ubiquitin and proteasome pathways 2
- Genetics 3
- Genomics and Rare Diseases 2
- Co-authors
- Kara Dolinski (9 shared papers)Rose Oughtred (9 shared papers)Andrew Chatr‐aryamontri (7 shared papers)Mike Tyers (7 shared papers)Lorrie Boucher (6 shared papers)Bobby‐Joe Breitkreutz (6 shared papers)Christie Chang (8 shared papers)Nadine K. Kolas (5 shared papers)
- Journals
- Nucleic Acids Research (4 papers)International Health (1 paper)Science Advances (1 paper)Cell Systems (1 paper)Protein Science (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jennifer Rust
11 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 3.4k
- Computational Theory and Mathematics 641
- Aging 54
- Cancer Research 314
- Cell Biology 323
Countries citing papers authored by Jennifer Rust
This map shows the geographic impact of Jennifer Rust'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 Jennifer Rust with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Rust more than expected).
Fields of papers citing papers by Jennifer Rust
This network shows the impact of papers produced by Jennifer Rust. 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 Jennifer Rust. The network helps show where Jennifer Rust may publish in the future.
Co-authors
The 25 scholars most cited alongside Jennifer Rust, 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 Hit paper breakdown → | 2020 | 949 |
| 2 | The BioGRID interaction database: 2019 update Hit paper breakdown → | 2018 | 934 |
| 3 | The BioGRID interaction database: 2013 update Hit paper breakdown → | 2012 | 728 |
| 4 | The BioGRID interaction database: 2017 update Hit paper breakdown → | 2016 | 705 |
| 5 | The BioGRID Interaction Database: 2011 update Hit paper breakdown → | 2010 | 681 |
| 6 | 2007 | 28 | |
| 7 | 2016 | 23 | |
| 8 | 2019 | 19 | |
| 9 | 2023 | 17 | |
| 10 | 2022 | 4 | |
| 11 | 2016 | 1 |
About Jennifer Rust
Jennifer Rust is a scholar working on Molecular Biology, Genetics, Pharmacology, Neurology and Finance, having authored 11 papers that have together received 4.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Biomedical Text Mining and Ontologies (5 papers), Genomics and Rare Diseases (2 papers), Gene expression and cancer classification (2 papers), Ubiquitin and proteasome pathways (2 papers), interferon and immune responses (1 paper), Plant-Microbe Interactions and Immunity (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Molecular Biology (3.4k citations), Computational Theory and Mathematics (641 citations), Aging (54 citations), Cancer Research (314 citations) and Cell Biology (323 citations). Jennifer Rust has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Kara Dolinski, Rose Oughtred, Andrew Chatr‐aryamontri, Mike Tyers, Lorrie Boucher, Bobby‐Joe Breitkreutz, Christie Chang, Nadine K. Kolas, Chris Stark and Lara O’Donnell. Their work appears in journals such as Nucleic Acids Research, International Health, Science Advances, Cell Systems and Protein Science.
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.