Michael C. McGee

563 citations
11 papers · 347 indexed · 1 hit paper · h-index 8

Michael C. McGee

10 papers receiving 343 citations

Hit Papers

Mutations and Evolution of the SARS-CoV-2 Spike Protein12220222026202320244080120

Peers

Michael C. McGee
Comparison fields: 5 of 70
  • Infectious Diseases 151
  • Immunology 75
  • Genetics 87
  • Animal Science and Zoology 25
  • Modeling and Simulation 11
Replace Réka Lőrincz with:
Réka Lőrincz United States
Ryutaro Kotaki Japan
Alyssa Silva-Cayetano United Kingdom
Jennifer Mehalko United States
Josée Perreault Canada
Changhua Yi China
Michaela Beyerle Germany
Thomas Sénard Netherlands
Pad Chivukula United States
Mohammed Nure Alam Siddiquey United States
Michael C. McGee relative to Réka Lőrincz United States Réka Lőrincz's profile →
Citations per field
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Réka Lőrincz · 1×
Citations per year

Countries citing papers authored by Michael C. McGee

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. McGee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside Michael C. McGee, 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 C. McGee Line = papers co-authored together Michael C. McGee links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 202411
2 20245
3 202212
4 202214
5
Mutations and Evolution of the SARS-CoV-2 Spike Proteinbreakdown →
2022122
6 20220
7 202011
8 202022
9 202022
10 20202
11 2019126

About Michael C. McGee

Michael C. McGee is a scholar working on Immunology, Infectious Diseases, Animal Science and Zoology, Epidemiology and Genetics, having authored 11 papers that have together received 347 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), vaccines and immunoinformatics approaches (2 papers), interferon and immune responses (2 papers), Influenza Virus Research Studies (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), T-cell and B-cell Immunology (2 papers) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Infectious Diseases (151 citations), Immunology (75 citations), Genetics (87 citations), Animal Science and Zoology (25 citations) and Modeling and Simulation (11 citations). Michael C. McGee has collaborated with scholars based in United States and Canada. Frequent co-authors include Weishan Huang, Nicholas Magazine, Tianyi Zhang, Gianluca Veggiani, Yingying Wu, Chengwen Li, Yunxing Li, Longping V. Tse, Le Cong and Avery August. Their work appears in journals such as The Journal of Immunology, Frontiers in Immunology, Journal of Medical Virology, Journal of Leukocyte Biology and ImmunoHorizons.

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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