Simon J. Talbot

3.2k citations
35 papers · 1.8k · h-index 20

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Oncology top 5%
    • Viral-associated cancers and disorders

Papers in

Simon J. Talbot

34 papers receiving 1.7k citations

Peers

Simon J. Talbot
Comparison fields: 5 of 84
  • Virology 353
  • Oncology 719
  • Epidemiology 521
  • Immunology 339
  • Infectious Diseases 287
Replace Ingemar Ernberg with:
Ingemar Ernberg Sweden
Earl T. Sawai United States
D Ganem United States
Mel Campbell United States
H.-G. Guo United States
James Kamine United States
R A Weiss United Kingdom
Joyce M. Zarling United States
P. D. Markham United States
Miriam Lieberman United States
Simon J. Talbot relative to Ingemar Ernberg Sweden Ingemar Ernberg's profile →
Citations per field
00.5×1.5×
Ingemar Ernberg · 1×
Citations per year

Countries citing papers authored by Simon J. Talbot

Since Specialization
Citations

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

Fields of papers citing papers by Simon J. Talbot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon J. Talbot. 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 Simon J. Talbot. The network helps show where Simon J. Talbot may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997226
2 1997163
3 1993149
4 1999126
5 1997123
6 1993122
7
Identification of a major latent nuclear antigen, LNA-1, in the human herpesvirus 8 genome.
1999120
8 200192
9 199972
10 199563
11 199061
12 199851
13 199450
14 199745
15 199444
16 200443
17 199529
18 201527
19 199325
20 200420

About Simon J. Talbot

Simon J. Talbot is a scholar working on Oncology, Molecular Biology, Epidemiology, Immunology and Infectious Diseases, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (14 papers), Cytomegalovirus and herpesvirus research (8 papers), RNA and protein synthesis mechanisms (8 papers), Bacteriophages and microbial interactions (6 papers), Immune Cell Function and Interaction (5 papers), Lymphoma Diagnosis and Treatment (5 papers), HIV Research and Treatment (5 papers) and Parvovirus B19 Infection Studies (4 papers). The work is most often cited by research in Virology (353 citations), Oncology (719 citations), Epidemiology (521 citations), Immunology (339 citations) and Infectious Diseases (287 citations). Simon J. Talbot has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Chris Boshoff, Sidney Altman, Paul Kellam, Peter G. Stockley, Robin A. Weiss, Leif A. Kirsebom, R A Weiss, Áine McKnight, Denise Whitby and Yuan Chang. Their work appears in journals such as Journal of Virology, Journal of General Virology, Nucleic Acids Research, Biochemistry and Virology.

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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