Chris Stark
Impact in
- Molecular Biology top 1%
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- Fungal and yeast genetics research
- Ubiquitin and proteasome pathways
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Machine Learning in Bioinformatics
- Aging top 5%
Papers in
-
- Bioinformatics and Genomic Networks 9
- Gene expression and cancer classification 3
- Biomedical Text Mining and Ontologies 3
- Gene Regulatory Network Analysis 2
- Ubiquitin and proteasome pathways 1
- Genetics 2
- Genomics and Rare Diseases 2
- Co-authors
- Mike Tyers (10 shared papers)Bobby‐Joe Breitkreutz (8 shared papers)Lorrie Boucher (7 shared papers)Rose Oughtred (6 shared papers)Kara Dolinski (6 shared papers)Nadine K. Kolas (5 shared papers)Christie Chang (5 shared papers)Andrew Chatr‐aryamontri (5 shared papers)
- Journals
- Nucleic Acids Research (3 papers)Genome biology (2 papers)Journal of Biology (1 paper)Current Biology (1 paper)Science (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Chris Stark
12 papers receiving 5.3k citations
Chris Stark's Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 4.3k
- Aging 74
- Cell Biology 572
- Computational Theory and Mathematics 568
- Cancer Research 265
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-authors
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 Hit paper breakdown → | 2020 | 1025 |
| 2 | The BioGRID interaction database: 2019 update Hit paper breakdown → | 2018 | 985 |
| 3 | The BioGRID interaction database: 2013 update Hit paper breakdown → | 2012 | 771 |
| 4 | The BioGRID interaction database: 2017 update Hit paper breakdown → | 2016 | 736 |
| 5 | A Global Protein Kinase and Phosphatase Interaction Network in Yeast Hit paper breakdown → | 2010 | 530 |
| 6 | 2003 | 388 | |
| 7 | 2004 | 385 | |
| 8 | 2006 | 256 | |
| 9 | 2003 | 237 | |
| 10 | 2009 | 98 | |
| 11 | 2002 | 2 | |
| 12 | 2016 | 1 |
About Chris Stark
Chris Stark is a scholar working on Molecular Biology, Genetics, Pharmacology, Pathology and Forensic Medicine and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 5.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (9 papers), Gene expression and cancer classification (3 papers), Biomedical Text Mining and Ontologies (3 papers), Genomics and Rare Diseases (2 papers), Gene Regulatory Network Analysis (2 papers), Cancer Mechanisms and Therapy (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Molecular Biology (4.3k citations), Aging (74 citations), Cell Biology (572 citations), Computational Theory and Mathematics (568 citations) and Cancer Research (265 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, Nadine K. Kolas, Christie Chang, Andrew Chatr‐aryamontri, Jennifer Rust and Lara O’Donnell. Their work appears in journals such as Nucleic Acids Research, Genome biology, Journal of Biology, Current Biology and 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.