Bart Kus

795 citations
8 papers · 592 · h-index 7

Impact in

    • Ubiquitin and proteasome pathways
    • Bioinformatics and Genomic Networks
    • Fungal and yeast genetics research
    • RNA Research and Splicing
    • Protein Structure and Dynamics
    • Cellular transport and secretion

Papers in

    • Ubiquitin and proteasome pathways 4
    • RNA Research and Splicing 1
    • Bioinformatics and Genomic Networks 1
    • Neurological Disorders and Treatments 1

Bart Kus

8 papers receiving 575 citations

Peers

Bart Kus
Comparison fields: 5 of 48
  • Molecular Biology 465
  • Cell Biology 45
  • Neurology 21
  • Spectroscopy 31
  • Biochemistry 8
Replace Ivana Yoseli Quiroga with:
Ivana Yoseli Quiroga Argentina
Nina Glomnes Norway
Nam Ky Chu United States
Ruth Hendus-Altenburger Denmark
Barbara J. Kaboord United States
Michael J. Hamann United States
Jennifer Paulson United States
Joleen S. Cheah United States
Kevin W. Huynh United States
Anush G. Bakunts Italy
Bart Kus relative to Ivana Yoseli Quiroga Argentina Ivana Yoseli Quiroga's profile →
Citations per field
00.5×2×3.1×
Ivana Yoseli Quiroga · 1×
Citations per year

Countries citing papers authored by Bart Kus

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Bart Kus Line = papers co-authored together Bart Kus links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2002216
2 2007134
3 200365
4 200561
5 201443
6 199938
7 200534
8 20101

About Bart Kus

Bart Kus is a scholar working on Molecular Biology, Neurology, Physiology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 8 papers that have together received 592 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Cystic Fibrosis Research Advances (1 paper), Acute Ischemic Stroke Management (1 paper), Neurological Disorders and Treatments (1 paper), RNA Research and Splicing (1 paper), Alzheimer's disease research and treatments (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Molecular Biology (465 citations), Cell Biology (45 citations), Neurology (21 citations), Spectroscopy (31 citations) and Biochemistry (8 citations). Bart Kus has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Aled Edwards, Jack F. Greenblatt, Ronald Jansen, Dov S. Greenbaum, Mark Gerstein, Daniela Rotin, Catherine Elizabeth Caldon, Nevan J. Krogan, John Parkinson and Raffi Tonikian. Their work appears in journals such as Journal of Biological Chemistry, Molecular Systems Biology, Proteins Structure Function and Bioinformatics, Trends in Genetics and Alzheimer s & Dementia.

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.

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