Shawn T. Beug

966 total citations
30 papers, 715 citations indexed

About

Shawn T. Beug is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Shawn T. Beug has authored 30 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 16 papers in Immunology and 7 papers in Genetics. Recurrent topics in Shawn T. Beug's work include interferon and immune responses (8 papers), Cell death mechanisms and regulation (6 papers) and Virus-based gene therapy research (5 papers). Shawn T. Beug is often cited by papers focused on interferon and immune responses (8 papers), Cell death mechanisms and regulation (6 papers) and Virus-based gene therapy research (5 papers). Shawn T. Beug collaborates with scholars based in Canada, United States and Germany. Shawn T. Beug's co-authors include Robert G. Korneluk, Eric C. LaCasse, Herman H. Cheung, Martine St-Jean, Tommy Alain, Valerie A. Wallace, Behzad Yeganeh, Leonardo Ermini, Chantal Mazerolle and Sandy G. Vascotto and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nature Biotechnology.

In The Last Decade

Shawn T. Beug

29 papers receiving 701 citations

Peers

Shawn T. Beug
Comparison fields: 5 of 85
  • Molecular Biology 474
  • Immunology 248
  • Oncology 177
  • Cancer Research 142
  • Genetics 104
Replace Carl Simard with:
Carl Simard Canada
Zhongqi Ge United States
Yunhong Cao United Kingdom
Daria S. Chulpanova Russia
Matthias Kieslinger Germany
Martine St-Jean Canada
Santiago Werbajh Argentina
Alexei Shir Israel
Petra Minder United States
Mitsuhiro Suzuki Japan
Carl Simard Canada View profile →
Citations per field, relative to Shawn T. Beug
Shawn T. Beug · 1×
Citations per year, relative to Shawn T. Beug
Shawn T. Beug · 1×

Countries citing papers authored by Shawn T. Beug

Since Specialization
Citations

This map shows the geographic impact of Shawn T. Beug'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 Shawn T. Beug with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shawn T. Beug more than expected).

Fields of papers citing papers by Shawn T. Beug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn T. Beug. 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 Shawn T. Beug. The network helps show where Shawn T. Beug may publish in the future.

Co-authorship network of co-authors of Shawn T. Beug

This figure shows the co-authorship network connecting the top 25 collaborators of Shawn T. Beug. A scholar is included among the top collaborators of Shawn T. Beug 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 Shawn T. Beug. Shawn T. Beug 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
# Work Indexed citations
1 0
2 1
3 1
4 2
5 13
6 12
7 33
8 23
9 106
10 18
11 1
12 45
13 95
14 114
15 24
16 20
17 22
18 40
19 2
20 9

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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