Keith Dunker

635 citations
7 papers · 532 · h-index 5

Impact in

Papers in

    • Protein Structure and Dynamics 3
    • Ubiquitin and proteasome pathways 2
    • Machine Learning in Bioinformatics 2
    • Heat shock proteins research 1
    • Gene expression and cancer classification 1

Keith Dunker

7 papers receiving 527 citations

Peers

Keith Dunker
Comparison fields: 5 of 73
  • Structural Biology 19
  • Virology 23
  • Molecular Biology 327
  • Atomic and Molecular Physics, and Optics 103
  • Cell Biology 48
Replace Daniel L. Floyd with:
Daniel L. Floyd United States
Frédéric Eghiaian France
Antoine Gruet France
Marion Dosnon France
Beate Zachmann-Brand Germany
Yasuo Tsunaka Japan
Michael Kachala Germany
Alejandro Valbuena Spain
David Blocquel France
Jodi A. Hadden‐Perilla United States
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Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Keith Dunker

Since Specialization
Citations

This map shows the geographic impact of Keith Dunker'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 Keith Dunker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Dunker more than expected).

Fields of papers citing papers by Keith Dunker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith Dunker. 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 Keith Dunker. The network helps show where Keith Dunker may publish in the future.

Co-authors

The 25 scholars most cited alongside Keith Dunker, 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 Keith Dunker Line = papers co-authored together Keith Dunker links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Sequence Data Analysis for Long Disordered Regions Prediction in the Calcineurin Family.
1997228
2 2004145
3 1993139
4 201212
5 20116
6 19991
7 20001

About Keith Dunker

Keith Dunker is a scholar working on Molecular Biology, Ecology, Atomic and Molecular Physics, and Optics, Epidemiology and Computational Theory and Mathematics, having authored 7 papers that have together received 532 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Ubiquitin and proteasome pathways (2 papers), Machine Learning in Bioinformatics (2 papers), Heat shock proteins research (1 paper), Gene expression and cancer classification (1 paper), Enzyme Structure and Function (1 paper), Virology and Viral Diseases (1 paper) and Force Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Structural Biology (19 citations), Virology (23 citations), Molecular Biology (327 citations), Atomic and Molecular Physics, and Optics (103 citations) and Cell Biology (48 citations). Keith Dunker has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Romero, Stuart Lindsay, Yuri L. Lyubchenko, P. I. Oden, Christopher J. Oldfield, Sonia Longhi, Véronique Receveur‐Brechot, Kenth Johansson, Bruno Canard and Jean‐Marie Bourhis. Their work appears in journals such as PLoS ONE, Nucleic Acids Research, Virus Research and PubMed.

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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