Nigel W. Fraser

4.4k citations
89 papers · 3.7k indexed · h-index 36

Impact in

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

Papers in

    • Poxvirus research and outbreaks 17
    • Herpesvirus Infections and Treatments 77
    • Cytomegalovirus and herpesvirus research 14

Nigel W. Fraser

89 papers receiving 3.5k citations

Peers

Nigel W. Fraser
Comparison fields: 5 of 105
  • Virology 404
  • Epidemiology 2.2k
  • Genetics 1.5k
  • Immunology 850
  • Animal Science and Zoology 252
Replace J. H. Subak‐Sharpe with:
J. H. Subak‐Sharpe United Kingdom
Thomas M. Kristie United States
Rozanne M. Sandri-Goldin United States
Neil Wilkie United Kingdom
Nancy Sawtell United States
Jeffrey M. Ostrove United States
Fumi Goshima Japan
Ronald T. Javier United States
Martha F. Kramer United States
William P. Halford United States
Nigel W. Fraser relative to J. H. Subak‐Sharpe United Kingdom J. H. Subak‐Sharpe's profile →
Citations per field
00.5×6.2×
J. H. Subak‐Sharpe · 1×
Citations per year

Countries citing papers authored by Nigel W. Fraser

Since Specialization
Citations

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

Fields of papers citing papers by Nigel W. Fraser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nigel W. Fraser. 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 Nigel W. Fraser. The network helps show where Nigel W. Fraser may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20224
2 20208
3 201652
4 201519
5 201428
6 20135
7 201316
8 200894
9 20076
10 200662
11 200615
12 200416
13 200336
14 200361
15 199936
16 199925
17 199825
18 199780
19 1995106
20 199335

About Nigel W. Fraser

Nigel W. Fraser is a scholar working on Virology, Epidemiology, Immunology, Genetics and Animal Science and Zoology, having authored 89 papers that have together received 3.7k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (77 papers), Virus-based gene therapy research (32 papers), Poxvirus research and outbreaks (17 papers), Cytomegalovirus and herpesvirus research (14 papers), interferon and immune responses (11 papers), Toxin Mechanisms and Immunotoxins (10 papers), RNA regulation and disease (7 papers) and Animal Virus Infections Studies (7 papers). The work is most often cited by research in Virology (404 citations), Epidemiology (2.2k citations), Genetics (1.5k citations), Immunology (850 citations) and Animal Science and Zoology (252 citations). Nigel W. Fraser has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Daniel L. Rock, James Darnell, Cathie G. Miller, Timothy M. Block, John H. Wolfe, Jae‐Wook Oh, Satish L. Deshmane, Edward B. Ziff, Pravinkumar B. Sehgal and Michael C. Wilson. Their work appears in journals such as Journal of NeuroVirology, Journal of Virology, Virology, Molecular Therapy and Scientific Reports.

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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