J. H. Subak‐Sharpe

4.9k total citations · 1 hit paper
81 papers, 4.2k citations indexed

About

J. H. Subak‐Sharpe is a scholar working on Epidemiology, Molecular Biology and Genetics. According to data from OpenAlex, J. H. Subak‐Sharpe has authored 81 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Epidemiology, 25 papers in Molecular Biology and 22 papers in Genetics. Recurrent topics in J. H. Subak‐Sharpe's work include Herpesvirus Infections and Treatments (51 papers), Cytomegalovirus and herpesvirus research (27 papers) and Virus-based gene therapy research (22 papers). J. H. Subak‐Sharpe is often cited by papers focused on Herpesvirus Infections and Treatments (51 papers), Cytomegalovirus and herpesvirus research (27 papers) and Virus-based gene therapy research (22 papers). J. H. Subak‐Sharpe collaborates with scholars based in United Kingdom, Slovakia and United States. J. H. Subak‐Sharpe's 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 and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

J. H. Subak‐Sharpe

81 papers receiving 3.6k citations

Hit Papers

Genetic Studies with Herpes Simplex Virus Type 1. The Iso... 1973 2026 1990 2008 1973 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. H. Subak‐Sharpe United Kingdom 37 2.9k 1.3k 1.1k 761 546 81 4.2k
F O Wettstein United States 32 2.0k 0.7× 2.2k 1.6× 1.1k 1.1× 770 1.0× 254 0.5× 55 4.5k
Saul Kit United States 41 2.2k 0.8× 3.0k 2.3× 1.9k 1.8× 787 1.0× 326 0.6× 199 6.2k
Jeffry J. Leary United States 18 1.1k 0.4× 946 0.7× 548 0.5× 366 0.5× 296 0.5× 33 2.8k
Amos Panet Israel 42 1.4k 0.5× 2.9k 2.2× 1.3k 1.2× 1.3k 1.8× 936 1.7× 175 5.7k
Leonard Post United States 37 1.9k 0.7× 2.5k 1.9× 1.7k 1.6× 607 0.8× 361 0.7× 74 4.8k
D. R. Dubbs United States 32 1.0k 0.4× 1.9k 1.5× 1.3k 1.2× 459 0.6× 168 0.3× 85 3.4k
J Chou United States 25 2.2k 0.8× 3.2k 2.4× 2.8k 2.6× 672 0.9× 311 0.6× 34 5.5k
Gabriella Campadelli‐Fiume Italy 50 5.5k 1.9× 1.5k 1.2× 2.2k 2.1× 2.1k 2.7× 575 1.1× 205 7.4k
Richard W. Moyer United States 37 1.7k 0.6× 2.5k 1.9× 1.4k 1.3× 1.1k 1.4× 1.6k 3.0× 128 5.5k
J. Lindenmann Switzerland 28 1.4k 0.5× 1.3k 1.0× 540 0.5× 3.2k 4.1× 190 0.3× 79 5.4k

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 of co-authors of J. H. Subak‐Sharpe

This figure shows the co-authorship network connecting the top 25 collaborators of J. H. Subak‐Sharpe. A scholar is included among the top collaborators of J. H. Subak‐Sharpe 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 J. H. Subak‐Sharpe. J. H. Subak‐Sharpe 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
1.
Subak‐Sharpe, J. H. & Derrick J. Dargan. (1998). Hsv Molecular Biology: General Aspects of Herpes Simplex Virus Molecular Biology. Virus Genes. 16(3). 239–251. 46 indexed citations
2.
Dargan, Derrick J., et al.. (1992). The effect of cicloxolone sodium on the replication of vesicular stomatitis virus in BSC-1 cells. Journal of General Virology. 73(2). 397–406. 10 indexed citations
6.
Mitchell, William J., Israel Steiner, Stuart M. Brown, et al.. (1990). A herpes simplex virus type 1 variant, deleted in the promoter region of the latency-associated transcripts, does not produce any detectable minor RNA species during latency in the mouse trigeminal ganglion. Journal of General Virology. 71(4). 953–957. 35 indexed citations
7.
Cameron, J. M., I. Ross McDougall, H. S. Marsden, et al.. (1988). Ribonucleotide Reductase Encoded by Herpes Simplex Virus Is a Determinant of the Pathogenicity of the Virus in Mice and a Valid Antiviral Target. Journal of General Virology. 69(10). 2607–2612. 127 indexed citations
8.
Clements, G. B. & J. H. Subak‐Sharpe. (1988). Herpes Simplex Virus Type 2 Establishes Latency in the Mouse Footpad. Journal of General Virology. 69(2). 375–383. 40 indexed citations
9.
Kinchington, Paul R., Geneviève Inchauspé, J. H. Subak‐Sharpe, et al.. (1988). Identification and characterization of a varicella-zoster virus DNA-binding protein by using antisera directed against a predicted synthetic oligopeptide. Journal of Virology. 62(3). 802–809. 47 indexed citations
10.
Warren, Kenneth G., et al.. (1983). A Comparative Analysis of Restriction Enzyme Digests of the DNA of Herpes Simplex Virus Isolated from Genital and Facial Lesions. Journal of General Virology. 64(2). 357–371. 38 indexed citations
11.
Watson, Karen, J G Stevens, Margery L. Cook, & J. H. Subak‐Sharpe. (1980). Latency Competence of Thirteen HSV-1 Temperature-sensitive Mutants. Journal of General Virology. 49(1). 149–159. 49 indexed citations
12.
Brown, Stuart M., J. H. Subak‐Sharpe, K. G. Warren, Zofia Wróblewska, & Hilary Koprowski. (1979). Detection by complementation of defective or uninducible (herpes simplex type 1) virus genomes latent in human ganglia.. Proceedings of the National Academy of Sciences. 76(5). 2364–2368. 38 indexed citations
13.
Gaunt, Stephen J. & J. H. Subak‐Sharpe. (1979). Selectivity in metabolic cooperation between cultured mammalian cells. Experimental Cell Research. 120(2). 307–320. 38 indexed citations
14.
Devlin, Mary, et al.. (1978). Herpes simplex virus latency in patients with multiple sclerosis, lymphoma and normal humans.. PubMed. 765–8. 6 indexed citations
15.
Warren, Kenneth G., Stuart M. Brown, Zofia Wróblewska, et al.. (1978). Isolation of Latent Herpes Simplex Virus from the Superior Cervical and Vagus Ganglions of Human Beings. New England Journal of Medicine. 298(19). 1068–1069. 228 indexed citations
16.
Warren, K. G., Stuart M. Brown, Mary Devlin, et al.. (1977). ISOLATION OF HERPES SIMPLEX VIRUS FROM HUMAN TRIGEMINAL GANGLIA, INCLUDING GANGLIA FROM ONE PATIENT WITH MULTIPLE SCLEROSIS. The Lancet. 310(8039). 637–639. 82 indexed citations
17.
Subak‐Sharpe, J. H., et al.. (1977). Similarity of the general designs of protochordates and invertebrates. Nature. 266(5602). 533–536. 44 indexed citations
18.
Gaunt, Stephen J. & J. H. Subak‐Sharpe. (1977). Cell cycle variation associated with feeder effects in cultures of Chinese hamster fibroblasts. Experimental Cell Research. 109(2). 341–348. 5 indexed citations
19.
Jamieson, A. T., Glenn A. Gentry, & J. H. Subak‐Sharpe. (1974). Induction of Both Thymidine and Deoxycytidine Kinase Activity by Herpes Viruses. Journal of General Virology. 24(3). 465–480. 259 indexed citations

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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