T Compton

1.1k citations
20 papers · 961 · h-index 13

Impact in

    • Cytomegalovirus and herpesvirus research
    • Herpesvirus Infections and Treatments
    • Toxoplasma gondii Research Studies

Papers in

    • Herpesvirus Infections and Treatments 7
    • Cytomegalovirus and herpesvirus research 6
    • Toxin Mechanisms and Immunotoxins 2
    • interferon and immune responses 2

T Compton

19 papers receiving 918 citations

Peers

T Compton
Comparison fields: 5 of 71
  • Epidemiology 500
  • Parasitology 88
  • Immunology 241
  • Virology 53
  • Oncology 209
Replace Jeffrey I. Cohen with:
Jeffrey I. Cohen United States
A Marchini United States
Pavel A. Nikitin United States
Gretchen L. Bentz United States
William H. Schubach United States
David N. Everly United States
Anna Elisa Verzì Italy
Ian J. Groves United Kingdom
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Citations per field
00.5×1.5×
Jeffrey I. Cohen · 1×
Citations per year

Countries citing papers authored by T Compton

Since Specialization
Citations

This map shows the geographic impact of T Compton'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 T Compton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Compton more than expected).

Fields of papers citing papers by T Compton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1989357
2 198988
3 198468
4 199765
5 199163
6 200857
7 199354
8 199753
9 198947
10 199925
11 200222
12 198421
13
Towards a definition of the HCMV entry pathway.
199519
14 20089
15
Cellular receptor for human cytomegalovirus.
19915
16
[Use of cultured, virus-infected cells to study the biogenesis of polarity of epithelial cells].
19883
17 20072
18 20072
19 20231
20 20250

About T Compton

T Compton is a scholar working on Epidemiology, Immunology, Molecular Biology, Virology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 961 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (7 papers), Cytomegalovirus and herpesvirus research (6 papers), Glycosylation and Glycoproteins Research (2 papers), S100 Proteins and Annexins (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), interferon and immune responses (2 papers), HIV Research and Treatment (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Epidemiology (500 citations), Parasitology (88 citations), Immunology (241 citations), Virology (53 citations) and Oncology (209 citations). T Compton has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Ichiro Saito, Robert I. Fox, B Servenius, Richard J. Courtney, Mary T. Huber, Dawn Nowlin, Neil R. Cooper, Marisa K. Isaacson, G E Cole and James H. Gilbert. Their work appears in journals such as Journal of Virology, Journal of Hepatology, Foot & Ankle International, The Journal of Experimental 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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