Bart Kus
Impact in
-
- Ubiquitin and proteasome pathways
- Bioinformatics and Genomic Networks
- Fungal and yeast genetics research
- Microbial Metabolic Engineering and Bioproduction
- Protein Structure and Dynamics
- Cell Biology top 10%
- Cellular transport and secretion
Papers in
-
- Ubiquitin and proteasome pathways 4
- Fungal and yeast genetics research 2
- Protein Degradation and Inhibitors 1
-
- Cystic Fibrosis Research Advances 2
- Co-authors
- A.M. Edwards (3 shared papers)Jack Greenblatt (1 shared paper)Dov Greenbaum (1 shared paper)Ronald Jansen (1 shared paper)Mark Gerstein (1 shared paper)Daniela Rotin (4 shared papers)Catherine E Caldon (1 shared paper)Sachdev S. Sidhu (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Molecular Systems Biology (1 paper)Trends in Genetics (1 paper)Proteins Structure Function and Bioinformatics (1 paper)Molecular Pharmacology (1 paper)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Bart Kus
9 papers receiving 660 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 522
- Cell Biology 112
- Pulmonary and Respiratory Medicine 101
- Neurology 19
- Computational Theory and Mathematics 42
Countries citing papers authored by Bart Kus
This map shows the geographic impact of Bart Kus'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 Bart Kus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bart Kus more than expected).
Fields of papers citing papers by Bart Kus
This network shows the impact of papers produced by Bart Kus. 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 Bart Kus. The network helps show where Bart Kus may publish in the future.
Co-authors
The 25 scholars most cited alongside Bart Kus, 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 | 2002 | 214 | |
| 2 | 2007 | 135 | |
| 3 | 2010 | 82 | |
| 4 | 2003 | 64 | |
| 5 | 2005 | 62 | |
| 6 | 2014 | 41 | |
| 7 | 1999 | 38 | |
| 8 | 2005 | 35 | |
| 9 | 2010 | 1 |
About Bart Kus
Bart Kus is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Computational Theory and Mathematics, Physiology and Pharmacology, having authored 9 papers that have together received 672 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Fungal and yeast genetics research (2 papers), Cystic Fibrosis Research Advances (2 papers), Computational Drug Discovery Methods (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Alzheimer's disease research and treatments (1 paper), Protein Degradation and Inhibitors (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Molecular Biology (522 citations), Cell Biology (112 citations), Pulmonary and Respiratory Medicine (101 citations), Neurology (19 citations) and Computational Theory and Mathematics (42 citations). Bart Kus has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include A.M. Edwards, Jack Greenblatt, Dov Greenbaum, Ronald Jansen, Mark Gerstein, Daniela Rotin, Catherine E Caldon, Sachdev S. Sidhu, John Parkinson and Nevan J. Krogan. Their work appears in journals such as Journal of Biological Chemistry, Molecular Systems Biology, Trends in Genetics, Proteins Structure Function and Bioinformatics and Molecular Pharmacology.
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.