Donald Seto

6.3k citations
100 papers · 4.5k · 1 hit paper · h-index 37

Impact in

Papers in

    • Virus-based gene therapy research 63
    • Viral Infectious Diseases and Gene Expression in Insects 24
    • Genomics and Phylogenetic Studies 11
    • CRISPR and Genetic Engineering 8

Donald Seto

98 papers receiving 4.5k citations

Donald Seto's Hit Papers

Tracking SARS-CoV-2 Omicron diverse spike gene mutations identifies multiple inter-variant recombination events 2022 · 144 citations
1440+1+2Years since publication4080120

Peers

Donald Seto
Comparison fields: 5 of 112
  • Infectious Diseases 1.6k
  • Genetics 2.1k
  • Virology 278
  • Microbiology 251
  • Ecology 978
Replace Philip J. Kranzusch with:
Philip J. Kranzusch United States
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Citations per year

Countries citing papers authored by Donald Seto

Since Specialization
Citations

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

Fields of papers citing papers by Donald Seto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988355
2 2008252
3 2009230
4 2013209
5 1989203
6 2009189
7 2009185
8 1994146
9
Tracking SARS-CoV-2 Omicron diverse spike gene mutations identifies multiple inter-variant recombination events
Hit paper breakdown →
2022144
10 2010125
11 1992122
12 2002117
13 2006107
14 201194
15 201180
16 202177
17 201277
18 201464
19 201361
20 201360

About Donald Seto

Donald Seto is a scholar working on Genetics, Molecular Biology, Infectious Diseases, Ecology and Epidemiology, having authored 100 papers that have together received 4.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (63 papers), Viral gastroenteritis research and epidemiology (39 papers), Viral Infectious Diseases and Gene Expression in Insects (24 papers), Bacteriophages and microbial interactions (17 papers), Genomics and Phylogenetic Studies (11 papers), CRISPR and Genetic Engineering (8 papers), CAR-T cell therapy research (7 papers) and Herpesvirus Infections and Treatments (6 papers). The work is most often cited by research in Infectious Diseases (1.6k citations), Genetics (2.1k citations), Virology (278 citations), Microbiology (251 citations) and Ecology (978 citations). Donald Seto has collaborated with scholars based in United States, China and Canada. Frequent co-authors include James Chodosh, Morris S. Jones, Padmanabhan Mahadevan, David W. Dyer, Carl S. Parker, Greg Wiederrecht, Christopher M. Robinson, Jason Seto, Andrew M. Kropinski and Rob Lavigne. Their work appears in journals such as Journal of Virology, Virology, Viruses, PLoS ONE and Nucleic Acids Research.

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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