M. Mackett

4.2k citations
51 papers · 3.5k indexed · 2 hit papers · h-index 28
Topics
Viral-associated cancers and disorders (24 papers)Herpesvirus Infections and Treatments (22 papers)Virus-based gene therapy research (18 papers)

In The Last Decade

M. Mackett

51 papers receiving 3.2k citations

Hit Papers

General method for production and selection of infectious...198220261996201119841982100200300400500

Peers

M. Mackett
Comparison fields: 5 of 82
  • Epidemiology 1.7k
  • Virology 1.4k
  • Genetics 1.2k
  • Immunology 783
  • Oncology 741
Replace David J. Pickup with:
David J. Pickup United States
John W. Wills United States
Sundararajan Venkatesan United States
James Tartaglia United States
Rolf M. Flügel Germany
Barbara E.H. Coupar Australia
Maxine L. Linial United States
Aidan Dolan United Kingdom
M D Hoggan United States
Deborah H. Spector United States
M. Mackett relative to David J. Pickup United States David J. Pickup's profile →
Citations per field
00.5×1.5×2.4×
David J. Pickup · 1×
Citations per year

Countries citing papers authored by M. Mackett

Since Specialization
Citations

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

Fields of papers citing papers by M. Mackett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Mackett

This figure shows the co-authorship network connecting the top 25 collaborators of M. Mackett. A scholar is included among the top collaborators of M. Mackett 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 M. Mackett. M. Mackett 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
#WorkIndexed citations
1 75
2 29
3 12
4 40
5 57
6 29
7 12
8
Identification and characterization of murine gammaherpesvirus 68 gp150
1
9 22
10 19
11 31
12 45
13 20
14 16
15 35
16 10
17 102
18 11
19 72
20 6

About M. Mackett

M. Mackett is a scholar working on Virology, Oncology and Epidemiology, having authored 51 papers that have together received 3.5k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (24 papers), Herpesvirus Infections and Treatments (22 papers) and Virus-based gene therapy research (18 papers). The work is most often cited by research in Virology (1.4k citations), Epidemiology (1.7k citations) and Genetics (1.2k citations). M. Mackett has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Bernard Moss, Geoffrey L. Smith, L. C. Archard, John R. Arrand, J. R. Arrand, Shahram Salek‐Ardakani, J. R. Arrand, Tilahun Yilma, J K Rose and David Shaw. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.

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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