Chris Stark
- Molecular Biology top 1%
- Bioinformatics and Genomic Networks 9
- Biomedical Text Mining and Ontologies 3
- Gene expression and cancer classification 3
- Ubiquitin and proteasome pathways 2
- Gene Regulatory Network Analysis 2
- Fungal and yeast genetics research 2
- Microbial Metabolic Engineering and Bioproduction 2
- Aging top 5%
- Computational Theory and Mathematics top 0.5%
- Cell Biology top 2%
- Cancer Research top 5%
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- Genomics and Rare Diseases 2
- Co-authors
- Mike TyersBobby‐Joe BreitkreutzLorrie BoucherRose OughtredKara DolinskiJennifer RustAndrew Chatr‐aryamontriNadine K. Kolas
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Chris Stark
12 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 4.4k
- Aging 75
- Computational Theory and Mathematics 630
- Cell Biology 577
- Cancer Research 313
Countries citing papers authored by Chris Stark
This map shows the geographic impact of Chris Stark'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 Chris Stark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Stark more than expected).
Fields of papers citing papers by Chris Stark
This network shows the impact of papers produced by Chris Stark. 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 Chris Stark. The network helps show where Chris Stark may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chris Stark, 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 | 2020 | 949 |
| 2 | The BioGRID interaction database: 2019 updatebreakdown → | 2018 | 934 |
| 3 | The BioGRID interaction database: 2017 updatebreakdown → | 2016 | 705 |
| 4 | 2016 | 1 | |
| 5 | The BioGRID interaction database: 2013 updatebreakdown → | 2012 | 728 |
| 6 | A Global Protein Kinase and Phosphatase Interaction Network in Yeastbreakdown → | 2010 | 512 |
| 7 | 2009 | 93 | |
| 8 | 2006 | 235 | |
| 9 | 2004 | 375 | |
| 10 | 2003 | 212 | |
| 11 | 2003 | 352 | |
| 12 | 2002 | 1 |
About Chris Stark
Chris Stark is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics, having authored 12 papers that have together received 5.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (9 papers), Biomedical Text Mining and Ontologies (3 papers), Gene expression and cancer classification (3 papers), Genomics and Rare Diseases (2 papers), Ubiquitin and proteasome pathways (2 papers), Gene Regulatory Network Analysis (2 papers), Fungal and yeast genetics research (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Molecular Biology (4.4k citations), Aging (75 citations) and Computational Theory and Mathematics (630 citations). Chris Stark has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Mike Tyers, Bobby‐Joe Breitkreutz, Lorrie Boucher, Rose Oughtred, Kara Dolinski, Jennifer Rust, Andrew Chatr‐aryamontri, Nadine K. Kolas, Christie Chang and Lara O’Donnell. Their work appears in journals such as Nucleic Acids Research, Genome biology, Journal of Biology, Science and Current 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.