Michael B. Doud

1.3k citations
12 papers · 720 · h-index 10

Impact in

  • Virology top 10%
  • Epidemiology top 10%
    • Influenza Virus Research Studies
    • Respiratory viral infections research

Papers in

    • RNA and protein synthesis mechanisms 4
    • Protein Structure and Dynamics 2
    • vaccines and immunoinformatics approaches 2
    • Influenza Virus Research Studies 6
    • Respiratory viral infections research 2

Michael B. Doud

12 papers receiving 719 citations

Peers

Michael B. Doud
Comparison fields: 5 of 49
  • Virology 55
  • Epidemiology 339
  • Infectious Diseases 137
  • Immunology 153
  • Genetics 137
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Timo Frensing Germany
Sandra Diederich Germany
Ewan P. Plant United States
Aaron Farnsworth Canada
Evelyne Kretzschmar Germany
Juan Ayllón United States
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Pamuk Bilsel United States
Sarah L. Noton United States
Tatyana Yun United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael B. Doud

Since Specialization
Citations

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

Fields of papers citing papers by Michael B. Doud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael B. Doud. 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 Michael B. Doud. The network helps show where Michael B. Doud may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2016146
2 2018122
3 2018109
4 201787
5 201281
6 201563
7 201748
8 201826
9 201719
10 202513
11 20245
12 20251

About Michael B. Doud

Michael B. Doud is a scholar working on Molecular Biology, Epidemiology, Genetics, Immunology and Ecology, having authored 12 papers that have together received 720 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), RNA and protein synthesis mechanisms (4 papers), Evolution and Genetic Dynamics (3 papers), Respiratory viral infections research (2 papers), interferon and immune responses (2 papers), Protein Structure and Dynamics (2 papers), vaccines and immunoinformatics approaches (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Virology (55 citations), Epidemiology (339 citations), Infectious Diseases (137 citations), Immunology (153 citations) and Genetics (137 citations). Michael B. Doud has collaborated with scholars based in United States. Frequent co-authors include Jesse D. Bloom, Juhye Lee, Orr Ashenberg, Scott E. Hensley, John Huddleston, Kathryn A. Hooper, Trevor Bedford, Nicholas C. Wu, Gaojie Song and Chafen Lu. Their work appears in journals such as Nature Communications, PLoS Pathogens, Proceedings of the National Academy of Sciences, Molecular Biology and Evolution and Frontiers in Cellular and Infection Microbiology.

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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