Mick F. Tuite

13.3k total citations · 3 hit papers
196 papers, 10.7k citations indexed

About

Mick F. Tuite is a scholar working on Molecular Biology, Neurology and Nutrition and Dietetics. According to data from OpenAlex, Mick F. Tuite has authored 196 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 175 papers in Molecular Biology, 29 papers in Neurology and 15 papers in Nutrition and Dietetics. Recurrent topics in Mick F. Tuite's work include RNA and protein synthesis mechanisms (76 papers), Fungal and yeast genetics research (49 papers) and Prion Diseases and Protein Misfolding (48 papers). Mick F. Tuite is often cited by papers focused on RNA and protein synthesis mechanisms (76 papers), Fungal and yeast genetics research (49 papers) and Prion Diseases and Protein Misfolding (48 papers). Mick F. Tuite collaborates with scholars based in United Kingdom, United States and France. Mick F. Tuite's co-authors include Brian S. Cox, Manuel A. S. Santos, Ian Stansfield, B. S. Cox, Robert B. Freedman, Frédérique Ness, Susan M. Kingsman, Melanie J. Dobson, Alan J. Kingsman and DA Day and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Mick F. Tuite

195 papers receiving 10.4k citations

Hit Papers

Protein disulphide isomerase: building bridges in protein... 1982 2026 1996 2011 1994 1996 1982 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mick F. Tuite United Kingdom 54 9.4k 1.3k 1.2k 971 911 196 10.7k
Vishwanath R. Lingappa United States 49 5.2k 0.6× 996 0.7× 1.4k 1.2× 809 0.8× 206 0.2× 109 7.3k
Reed B. Wickner United States 73 13.1k 1.4× 3.1k 2.3× 1.2k 1.0× 2.5k 2.5× 3.5k 3.9× 277 16.0k
Ramanujan S. Hegde United States 73 10.8k 1.2× 1.0k 0.7× 4.7k 4.0× 753 0.8× 302 0.3× 144 13.3k
Haydn L. Ball United States 30 4.3k 0.5× 690 0.5× 406 0.3× 737 0.8× 212 0.2× 57 5.7k
Colin Dingwall United Kingdom 38 7.6k 0.8× 202 0.2× 1.1k 1.0× 362 0.4× 863 0.9× 56 10.3k
Detlev Riesner Germany 49 5.4k 0.6× 1.3k 1.0× 181 0.2× 1.0k 1.0× 1.9k 2.1× 174 7.6k
Rudi Lurz Germany 57 8.3k 0.9× 295 0.2× 772 0.7× 133 0.1× 965 1.1× 164 11.9k
M J Runswick United Kingdom 16 5.9k 0.6× 163 0.1× 588 0.5× 241 0.2× 817 0.9× 17 7.9k
Axel Mogk Germany 64 10.8k 1.2× 232 0.2× 2.6k 2.2× 266 0.3× 595 0.7× 127 13.2k
Salvador Ventura Spain 52 7.3k 0.8× 370 0.3× 1.0k 0.9× 337 0.3× 217 0.2× 282 9.8k

Countries citing papers authored by Mick F. Tuite

Since Specialization
Citations

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

Fields of papers citing papers by Mick F. Tuite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mick F. Tuite

This figure shows the co-authorship network connecting the top 25 collaborators of Mick F. Tuite. A scholar is included among the top collaborators of Mick F. Tuite based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mick F. Tuite. Mick F. Tuite is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Smith, David P., et al.. (2022). Comparative Analysis of the Relative Fragmentation Stabilities of Polymorphic Alpha-Synuclein Amyloid Fibrils. Biomolecules. 12(5). 630–630. 6 indexed citations
2.
Hiscock, Jennifer R., et al.. (2021). Amyloid particles facilitate surface-catalyzed cross-seeding by acting as promiscuous nanoparticles. Proceedings of the National Academy of Sciences. 118(36). 31 indexed citations
3.
Serpell, Christopher J., et al.. (2020). Three-dimensional reconstruction of individual helical nano-filament structures from atomic force microscopy topographs. BioMolecular Concepts. 11(1). 102–115. 19 indexed citations
4.
Beal, David M., et al.. (2020). The Division of Amyloid Fibrils: Systematic Comparison of Fibril Fragmentation Stability by Linking Theory with Experiments. iScience. 23(9). 101512–101512. 18 indexed citations
5.
Beal, David M., et al.. (2019). Quantitative Analyses of the Yeast Oxidative Protein Folding Pathway In Vitro and In Vivo. Antioxidants and Redox Signaling. 31(4). 261–274. 6 indexed citations
6.
7.
Chen, Xi, Alan Morgan, Jennifer M. A. Tullet, et al.. (2016). New links between SOD1 and metabolic dysfunction from a yeast model of amyotrophic lateral sclerosis. Journal of Cell Science. 129(21). 4118–4129. 43 indexed citations
8.
Tuite, Mick F.. (2015). Yeast prions: Paramutation at the protein level?. Seminars in Cell and Developmental Biology. 44. 51–61. 15 indexed citations
9.
Byrne, Lee J., Diana J. Cole, Brian S. Cox, et al.. (2009). The Number and Transmission of [PSI+] Prion Seeds (Propagons) in the Yeast Saccharomyces cerevisiae. PLoS ONE. 4(3). e4670–e4670. 53 indexed citations
10.
Whalley, Jacqueline, Mick F. Tuite, & Colin G. Johnson. (2002). A virtual lab for exploring the [PSI]+ yeast prion. Kent Academic Repository (University of Kent). 1 indexed citations
11.
Song, Haiwei, Amit Kumar Das, Helen Webb, et al.. (2000). The Crystal Structure of Human Eukaryotic Release Factor eRF1—Mechanism of Stop Codon Recognition and Peptidyl-tRNA Hydrolysis. Cell. 100(3). 311–321. 370 indexed citations
12.
Eaglestone, Simon, Lloyd W. Ruddock, Brian S. Cox, & Mick F. Tuite. (2000). Guanidine hydrochloride blocks a critical step in the propagation of the prion-like determinant [ PSI + ] of Saccharomyces cerevisiae. Proceedings of the National Academy of Sciences. 97(1). 240–244. 152 indexed citations
13.
Brown, Alistair J. P. & Mick F. Tuite. (1998). Yeast gene analysis. Academic Press eBooks. 57 indexed citations
14.
Tuite, Mick F. & Susan Lindquist. (1996). Maintenance and inheritance of yeast prions. Trends in Genetics. 12(11). 467–471. 56 indexed citations
15.
Ross-Smith, Natalie, et al.. (1995). TRANSLATIONAL ELONGATION FACTOR 3 (EF-3): A STUDY OF ITS STRUCTURAL AND FUNCTIONAL DIVERGENCE IN FUNGI. Biochemical Society Transactions. 23(1). 132S–132S. 3 indexed citations
16.
Santos, Manuel A. S. & Mick F. Tuite. (1993). New insights into messenger-rna decoding - implications for heterologous protein-synthesis. Kent Academic Repository (University of Kent). 1 indexed citations
17.
Gerstel, Birgit, Mick F. Tuite, & John E.G. McCarthy. (1992). The effects of 5′‐capping, 3′‐polyadenylation and leader composition upon the translation and stability of mRNA in a cell‐free extract derived from the yeast Saccharomyces cerevisiae. Molecular Microbiology. 6(16). 2339–2348. 29 indexed citations
18.
Tuite, Mick F.. (1992). Strategies for the Genetic Manipulation of Saccharomyces cerevisiae. Critical Reviews in Biotechnology. 12(1-2). 157–188. 10 indexed citations
19.
Tuite, Mick F., Marguerite Picard, & Monique Bolotin‐Fukuhara. (1988). Genetics of translation : new approaches. Springer eBooks. 19 indexed citations
20.
Tuite, Mick F., et al.. (1980). Generalized amyloidosis in the domestic cat.. 34(1). 1–6. 3 indexed citations

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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