Mick F. Tuite

13.3k citations
196 papers · 10.7k indexed · 3 hit papers · h-index 54
Topics
RNA and protein synthesis mechanisms (76 papers)Fungal and yeast genetics research (49 papers)Prion Diseases and Protein Misfolding (48 papers)

In The Last Decade

Mick F. Tuite

195 papers receiving 10.4k citations

Hit Papers

Protein disulphide isomerase: building bridges in protein...1982202619962011199419961982200400600

Peers

Mick F. Tuite
Comparison fields: 5 of 144
  • Molecular Biology 9.4k
  • Neurology 1.3k
  • Cell Biology 1.2k
  • Nutrition and Dietetics 971
  • Plant Science 911
Replace Reed B. Wickner with:
Reed B. Wickner United States
Ramanujan S. Hegde United States
Vishwanath R. Lingappa United States
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Mick F. Tuite relative to Reed B. Wickner United States Reed B. Wickner's profile →
Citations per field
00.5×1.5×
Reed B. Wickner · 1×
Citations per year

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
#WorkIndexed citations
1 6
2 31
3 18
4 19
5 34
6 6
7 27
8 43
9 15
10 53
11 22
12 85
13
A virtual lab for exploring the [PSI]+ yeast prion
1
14 370
15
Yeast gene analysis
57
16 56
17
New insights into messenger-rna decoding - implications for heterologous protein-synthesis
1
18 10
19 29
20
Genetics of translation : new approaches
19

About Mick F. Tuite

Mick F. Tuite is a scholar working on Neurology, Molecular Biology and Nutrition and Dietetics, having authored 196 papers that have together received 10.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (76 papers), Fungal and yeast genetics research (49 papers) and Prion Diseases and Protein Misfolding (48 papers). The work is most often cited by research in Neurology (1.3k citations), Molecular Biology (9.4k citations) and Cell Biology (1.2k citations). Mick F. Tuite has collaborated with scholars based in United Kingdom, United States and France. Frequent 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. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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