Duncan J. Shaw

7.5k citations
78 papers · 3.7k indexed · 1 hit paper · h-index 30
Topics
Genetic Neurodegenerative Diseases (22 papers)Antifungal resistance and susceptibility (10 papers)Mitochondrial Function and Pathology (8 papers)

In The Last Decade

Duncan J. Shaw

75 papers receiving 3.5k citations

Hit Papers

Relationship between trinucleotide repeat expansion and p...19932026200420151993100200300400500

Peers

Duncan J. Shaw
Comparison fields: 5 of 135
  • Molecular Biology 2.3k
  • Cellular and Molecular Neuroscience 1.5k
  • Genetics 716
  • Neurology 711
  • Infectious Diseases 611
Replace Michael A. Innis with:
Michael A. Innis United States
Ayako Nakamura Japan
Sylvia Krobitsch Germany
Do Hee Lee South Korea
Ayako Yamamoto Japan
Penelope J. Duerksen-Hughes United States
Rory A. Fisher United States
Haiying Li China
Rakesh K. Mishra India
Hui Yang China
Duncan J. Shaw relative to Michael A. Innis United States Michael A. Innis's profile →
Citations per field
00.5×6.1×
Michael A. Innis · 1×
Citations per year

Countries citing papers authored by Duncan J. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Duncan J. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duncan J. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Duncan J. Shaw. A scholar is included among the top collaborators of Duncan J. Shaw 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 Duncan J. Shaw. Duncan J. Shaw 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 7
2 18
3 14
4 21
5 27
6 3
7 2
8 27
9
Molecular genetics of human inherited disease
1
10 60
11
Relationship between trinucleotide repeat expansion and phenotypic variation in Huntington's diseasebreakdown →
558
12 8
13 30
14 16
15 26
16 1
17 5
18 26
19 1
20 26

About Duncan J. Shaw

Duncan J. Shaw is a scholar working on Cellular and Molecular Neuroscience, Genetics and Molecular Biology, having authored 78 papers that have together received 3.7k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (22 papers), Antifungal resistance and susceptibility (10 papers) and Mitochondrial Function and Pathology (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Neurology (711 citations) and Infectious Diseases (611 citations). Duncan J. Shaw has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Peter S. Harper, John R. Guest, J. David Brook, H G Harley, Iain Fenton, Neil A. R. Gow, William Reardon, Frank C. Odds, Russell G. Snell and Martin Maiden. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

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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