Roy Duncan

4.5k citations
92 papers · 3.6k · 1 hit paper · h-index 39

Impact in

Papers in

Roy Duncan

91 papers receiving 3.5k citations

Roy Duncan's Hit Papers

ICTV Virus Taxonomy Profile: Sedoreoviridae 2022 2022 · 121 citations
1210+1+2Years since publication4080120

Peers

Roy Duncan
Comparison fields: 5 of 98
  • Infectious Diseases 1.9k
  • Animal Science and Zoology 902
  • Genetics 1.4k
  • Immunology 624
  • Microbiology 124
Replace Suresh K. Mittal with:
Suresh K. Mittal United States
M. E. G. Boursnell United Kingdom
Donald Seto United States
Yoshiyuki Nagai Japan
Trudy G. Morrison United States
Thomas Michiels Belgium
G W Both Australia
Herman W. Favoreel Belgium
Katherine R. Spindler United States
Brian W. J. Mahy United Kingdom
Roy Duncan relative to Suresh K. Mittal United States Suresh K. Mittal's profile →
Citations per field
00.5×1.7×
Suresh K. Mittal · 1×
Citations per year

Countries citing papers authored by Roy Duncan

Since Specialization
Citations

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

Fields of papers citing papers by Roy Duncan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000152
2 1987129
3
ICTV Virus Taxonomy Profile: Sedoreoviridae 2022
Hit paper breakdown →
2022121
4 1991116
5 1999107
6 1986106
7 2005102
8 200795
9 200479
10 201677
11 199071
12 201570
13 200268
14 202265
15 201463
16 201362
17 200261
18 200561
19 199158
20 200355

About Roy Duncan

Roy Duncan is a scholar working on Infectious Diseases, Genetics, Molecular Biology, Ecology and Animal Science and Zoology, having authored 92 papers that have together received 3.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (50 papers), Viral gastroenteritis research and epidemiology (47 papers), Bacteriophages and microbial interactions (18 papers), Animal Virus Infections Studies (15 papers), RNA Interference and Gene Delivery (11 papers), Lipid Membrane Structure and Behavior (10 papers), Cellular transport and secretion (6 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Infectious Diseases (1.9k citations), Animal Science and Zoology (902 citations), Genetics (1.4k citations), Immunology (624 citations) and Microbiology (124 citations). Roy Duncan has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Peter Dobos, Maya Shmulevitz, Jayme Salsman, Jennifer A. Corcoran, Deniz Top, Patrick W.K. Lee, Éva Nagy, Sandra J. Dawe, Christopher Barry and Roberto de Antueno. Their work appears in journals such as Virology, Journal of Virology, Journal of Biological Chemistry, Journal of General Virology and PLoS Pathogens.

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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