George M. Shaw

1.8k citations
6 papers · 1.5k indexed · 2 hit papers · h-index 5
Topics
HIV Research and Treatment (5 papers)Monoclonal and Polyclonal Antibodies Research (2 papers)Immune Cell Function and Interaction (2 papers)
Partner nations
United StatesFranceItaly

In The Last Decade

George M. Shaw

6 papers receiving 1.4k citations

Hit Papers

Potent suppression of HIV-1 replication in humans by T-20...199420262004201519981994250500750

Peers

George M. Shaw
Comparison fields: 5 of 74
  • Virology 1.1k
  • Infectious Diseases 673
  • Immunology 602
  • Molecular Biology 334
  • Epidemiology 287
Replace Tom Ketas with:
Tom Ketas United States
Pavel Pugach United States
Catarina E. Hioe United States
J.S. Allan United States
Åsa Björndal Sweden
Stanley Kang United States
Maxime Moulard France
Matthias T. Dittmar Germany
Kathie Grovit‐Ferbas United States
Kristine E. Sheridan United States
George M. Shaw relative to Tom Ketas United States Tom Ketas's profile →
Citations per field
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Tom Ketas · 1×
Citations per year

Countries citing papers authored by George M. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by George M. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George M. Shaw. 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 George M. Shaw. The network helps show where George M. Shaw may publish in the future.

Co-authorship network of co-authors of George M. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of George M. Shaw. A scholar is included among the top collaborators of George M. Shaw 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 George M. Shaw. George M. Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 2
2 45
3 87
4 13
5
Potent suppression of HIV-1 replication in humans by T-20, a peptide inhibitor of gp41-mediated virus entrybreakdown →
819
6
Major expansion of CD8+ T cells with a predominant Vβ usage during the primary immune response to HIVbreakdown →
503

About George M. Shaw

George M. Shaw is a scholar working on Virology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 6 papers that have together received 1.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (5 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Virology (1.1k citations), Infectious Diseases (673 citations) and Immunology (602 citations). George M. Shaw has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Michael S. Saag, Dani P. Bolognesi, J Michael Kilby, Gretchen A. Cloud, Jeannette Lee, Eric Hunter, Dennis M. Lambert, Thomas J. Matthews, Sam Hopkins and Cecilia Graziosi. Their work appears in journals such as Nature, Nature Medicine and Journal of Molecular Biology.

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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