Michael Mackett

1.0k citations
13 papers · 779 · h-index 11

Impact in

  • Virology top 2%
    • Poxvirus research and outbreaks
  • Epidemiology top 10%
    • Herpesvirus Infections and Treatments
    • Cytomegalovirus and herpesvirus research

Papers in

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

Michael Mackett

13 papers receiving 706 citations

Peers

Michael Mackett
Comparison fields: 5 of 49
  • Virology 236
  • Epidemiology 414
  • Immunology 239
  • Genetics 282
  • Infectious Diseases 148
Replace Kenneth J. Cremer with:
Kenneth J. Cremer United States
Sandra Silver United States
Kenichi Umene Japan
J. F. Kaye United Kingdom
Roderick I. Macfarlan Australia
Mohammad W. Bahar United Kingdom
Hildegund C.J. Ertl United States
C Pachl United States
G J Palumbo United States
Paul P. Hung Canada
Michael Mackett relative to Kenneth J. Cremer United States Kenneth J. Cremer's profile →
Citations per field
00.5×1.5×
Kenneth J. Cremer · 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

13 of 13 papers shown
#Work
1 1983330
2 1985170
3 1989108
4 200139
5 199921
6 200021
7 200019
8 199318
9 198417
10 199313
11 200213
12 19939
13 20031

About Michael Mackett

Michael Mackett is a scholar working on Epidemiology, Genetics, Oncology, Infectious Diseases and Molecular Biology, having authored 13 papers that have together received 779 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Herpesvirus Infections and Treatments (5 papers), Viral-associated cancers and disorders (4 papers), Cytomegalovirus and herpesvirus research (2 papers), Poxvirus research and outbreaks (2 papers), Virology and Viral Diseases (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Virology (236 citations), Epidemiology (414 citations), Immunology (239 citations), Genetics (282 citations) and Infectious Diseases (148 citations). Michael Mackett has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Bernard Moss, Geoffrey L. Smith, Kenneth J. Cremer, Abner Louis Notkins, Charles Wohlenberg, Rolf M. Zinkernagel, Stephan Oehen, Manfred Schulz, Hilary A. Overton and Hans Hengartner. Their work appears in journals such as Microbes and Infection, Biotechnology and Genetic Engineering Reviews, Science, Journal of General Virology and The Journal of Infectious Diseases.

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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