Mick J. Stack

491 citations
12 papers · 346 · h-index 10

Impact in

Papers in

    • Prion Diseases and Protein Misfolding 12
    • RNA regulation and disease 1
    • Peroxisome Proliferator-Activated Receptors 1
    • Neurological diseases and metabolism 11

Mick J. Stack

12 papers receiving 334 citations

Peers

Mick J. Stack
Comparison fields: 5 of 42
  • Neurology 182
  • Nutrition and Dietetics 110
  • Molecular Biology 327
  • Agronomy and Crop Science 29
  • Immunology and Allergy 6
Replace Melanie J. Chaplin with:
Melanie J. Chaplin United Kingdom
Stefano Marcon Italy
Peter Bellerby United Kingdom
S. J. Ryder United Kingdom
Dongyue Zhuang United States
Paula Stewart United Kingdom
Claudia D’Agostino Italy
G. Dexter United Kingdom
Jorg G. Jacobs Netherlands
Clare Hoover United States
Mick J. Stack relative to Melanie J. Chaplin United Kingdom Melanie J. Chaplin's profile →
Citations per field
00.5×1.5×
Melanie J. Chaplin · 1×
Citations per year

Countries citing papers authored by Mick J. Stack

Since Specialization
Citations

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

Fields of papers citing papers by Mick J. Stack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mick J. Stack. 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 Mick J. Stack. The network helps show where Mick J. Stack may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 200575
2 200161
3 200447
4 200240
5 200831
6 200219
7
Failure to detect abnormal prion protein and scrapie-associated fibrils 6 wk after intracerebral inoculation of genetically susceptible sheep with scrapie agent.
200219
8 200117
9 200417
10 200210
11 20018
12 20022

About Mick J. Stack

Mick J. Stack is a scholar working on Molecular Biology, Neurology, Nutrition and Dietetics, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 346 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (12 papers), Neurological diseases and metabolism (11 papers), Trace Elements in Health (6 papers), Metallurgy and Material Science (2 papers), Hereditary Neurological Disorders (1 paper), RNA regulation and disease (1 paper) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Neurology (182 citations), Nutrition and Dietetics (110 citations), Molecular Biology (327 citations), Agronomy and Crop Science (29 citations) and Immunology and Allergy (6 citations). Mick J. Stack has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Melanie J. Chaplin, Amir N. Hamir, Janice Μ. Miller, Randall C. Cutlip, Katherine I. O’Rourke, Elizabeth Williams, Michael W. Miller, Robert A. Kunkle, Jürgen A. Richt and Allen L. Jenny. Their work appears in journals such as Journal of Veterinary Diagnostic Investigation, BMC Infectious Diseases, Journal of Virological Methods 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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