Michael Mackett

1.0k citations
14 papers · 858 · h-index 12

Impact in

  • Virology top 2%
    • Poxvirus research and outbreaks
    • Herpesvirus Infections and Treatments
    • Cytomegalovirus and herpesvirus research

Papers in

    • Herpesvirus Infections and Treatments 6
    • Virology and Viral Diseases 2
    • Cytomegalovirus and herpesvirus research 2
    • Virus-based gene therapy research 5

Michael Mackett

13 papers receiving 758 citations

Peers

Michael Mackett
Comparison fields: 5 of 54
  • Virology 257
  • Epidemiology 458
  • Immunology 245
  • Genetics 278
  • Infectious Diseases 175
Replace Kenichi Umene with:
Kenichi Umene Japan
Kenneth J. Cremer United States
Sandra Silver United States
C Pachl United States
J. F. Kaye United Kingdom
Hildegund C.J. Ertl United States
Mohammad W. Bahar United Kingdom
Roderick I. Macfarlan United States
Paul P. Hung Canada
Sophie Duraffour Belgium
Michael Mackett relative to Kenichi Umene Japan Kenichi Umene's profile →
Citations per field
00.5×1.6×
Kenichi Umene · 1×
Citations per year

Countries citing papers authored by Michael Mackett

Since Specialization
Citations

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

Fields of papers citing papers by Michael Mackett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1983360
2 1985181
3 1989115
4 200141
5 199328
6 199923
7 200023
8 200023
9 198420
10 200217
11 199314
12 199312
13 20031
14 20240

About Michael Mackett

Michael Mackett is a scholar working on Epidemiology, Genetics, Oncology, Infectious Diseases and Virology, having authored 14 papers that have together received 858 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (6 papers), Virus-based gene therapy research (5 papers), Viral-associated cancers and disorders (4 papers), Poxvirus research and outbreaks (3 papers), Virology and Viral Diseases (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Virology (257 citations), Epidemiology (458 citations), Immunology (245 citations), Genetics (278 citations) and Infectious Diseases (175 citations). Michael Mackett has collaborated with scholars based in United Kingdom, United States and Slovakia. Frequent co-authors include Bernard Moss, Geoffrey L. Smith, Kenneth J. Cremer, Abner Louis Notkins, Charles Wohlenberg, Manfred Schulz, John R. Arrand, Hans Hengartner, Stephan Oehen and Rolf M. Zinkernagel. Their work appears in journals such as Biotechnology and Genetic Engineering Reviews, International Immunology, Virology, European Journal of Immunology and Nature.

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.

Explore authors with similar magnitude of impact