Tyson E. Graber

3.4k citations
51 papers · 1.7k · h-index 23

Impact in

    • SARS-CoV-2 detection and testing
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Advanced biosensing and bioanalysis techniques

Papers in

    • RNA and protein synthesis mechanisms 11
    • RNA Research and Splicing 9
    • RNA modifications and cancer 7
    • CRISPR and Genetic Engineering 6
    • Advanced biosensing and bioanalysis techniques 5
    • SARS-CoV-2 detection and testing 16
    • SARS-CoV-2 and COVID-19 Research 9

Tyson E. Graber

49 papers receiving 1.7k citations

Peers

Tyson E. Graber
Comparison fields: 5 of 103
  • Infectious Diseases 661
  • Molecular Biology 871
  • Cancer Research 119
  • Biomedical Engineering 349
  • Immunology 124
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Citations per field
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Citations per year

Countries citing papers authored by Tyson E. Graber

Since Specialization
Citations

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

Fields of papers citing papers by Tyson E. Graber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tyson E. Graber. 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 Tyson E. Graber. The network helps show where Tyson E. Graber may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020284
2 2021154
3 2013131
4 2013116
5 202295
6 200773
7 200762
8 200557
9 200454
10 200951
11 201445
12 202245
13 200843
14 201439
15 202139
16 202138
17 202232
18 201129
19 201828
20 201823

About Tyson E. Graber

Tyson E. Graber is a scholar working on Molecular Biology, Infectious Diseases, Biomedical Engineering, Genetics and Immunology, having authored 51 papers that have together received 1.7k indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (16 papers), RNA and protein synthesis mechanisms (11 papers), Biosensors and Analytical Detection (9 papers), RNA Research and Splicing (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers), RNA modifications and cancer (7 papers), CRISPR and Genetic Engineering (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). The work is most often cited by research in Infectious Diseases (661 citations), Molecular Biology (871 citations), Cancer Research (119 citations), Biomedical Engineering (349 citations) and Immunology (124 citations). Tyson E. Graber has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Tommy Alain, Martin Holčı́k, Wayne S. Sossin, Robert Delatolla, Élisabeth Mercier, Patrick M. D’Aoust, Alex MacKenzie, Mark R. Servos, Stephen M. Lewis and Aiman Tariq Baig. Their work appears in journals such as Water Research, The Science of The Total Environment, Cell Death and Differentiation, Oncogene and Scientific Reports.

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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