J. H. Subak‐Sharpe

4.9k citations
81 papers · 4.2k indexed · 1 hit paper · h-index 37
  • Virology top 1%
    • Poxvirus research and outbreaks 8
  • Epidemiology top 0.5%
    • Herpesvirus Infections and Treatments 51
    • Cytomegalovirus and herpesvirus research 27
  • Genetics top 2%
    • Virus-based gene therapy research 22
  • Immunology top 5%
    • Toxin Mechanisms and Immunotoxins 12
    • Animal Virus Infections Studies 5
    • Biochemical and Molecular Research 10
    • DNA and Nucleic Acid Chemistry 5

J. H. Subak‐Sharpe

81 papers receiving 3.6k citations

Hit Papers

Genetic Studies with Herpes Simplex Virus Type 1. The Iso...3421973202619902008100200300

Peers

J. H. Subak‐Sharpe
Comparison fields: 5 of 111
  • Virology 546
  • Epidemiology 2.9k
  • Genetics 1.1k
  • Immunology 761
  • Animal Science and Zoology 234
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Citations per field
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Citations per year

Countries citing papers authored by J. H. Subak‐Sharpe

Since Specialization
Citations

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

Fields of papers citing papers by J. H. Subak‐Sharpe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. H. Subak‐Sharpe. 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 J. H. Subak‐Sharpe. The network helps show where J. H. Subak‐Sharpe may publish in the future.

Co-authorship network

The 25 scholars most cited alongside J. H. Subak‐Sharpe, 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 J. H. Subak‐Sharpe Line = papers co-authored together J. H. Subak‐Sharpe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199846
2 199752
3 199227
4 199210
5 19923
6 19913
7 199035
8 198840
9 1988127
10 19886
11 198847
12 198338
13 197938
14 197938
15
Herpes simplex virus latency in patients with multiple sclerosis, lymphoma and normal humans.
19786
16 197813
17 197744
18 197782
19 19713
20 19685

About J. H. Subak‐Sharpe

J. H. Subak‐Sharpe is a scholar working on Virology, Epidemiology and Genetics, having authored 81 papers that have together received 4.2k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (51 papers), Cytomegalovirus and herpesvirus research (27 papers), Virus-based gene therapy research (22 papers), Toxin Mechanisms and Immunotoxins (12 papers), Biochemical and Molecular Research (10 papers), Poxvirus research and outbreaks (8 papers), Animal Virus Infections Studies (5 papers) and DNA and Nucleic Acid Chemistry (5 papers). The work is most often cited by research in Virology (546 citations), Epidemiology (2.9k citations) and Genetics (1.1k citations). J. H. Subak‐Sharpe has collaborated with scholars based in United Kingdom, Slovakia and United States. Frequent co-authors include A. T. Jamieson, H. S. Marsden, S. M. Brown, Stuart M. Brown, D.A. Ritchie, Derrick J. Dargan, M. C. Timbury, Glenn A. Gentry, Neil Wilkie and Hilary Koprowski. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

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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