David M Shaw

1.4k citations
20 papers · 1.2k · h-index 16

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
  • Immunology top 10%
    • Immunotherapy and Immune Responses

Papers in

David M Shaw

20 papers receiving 1.1k citations

Peers

David M Shaw
Comparison fields: 5 of 55
  • Oncology 292
  • Immunology 177
  • Food Science 94
  • Cell Biology 44
  • Radiology, Nuclear Medicine and Imaging 60
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Citations per field
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Citations per year

Countries citing papers authored by David M Shaw

Since Specialization
Citations

This map shows the geographic impact of David 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 David 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 David M Shaw more than expected).

Fields of papers citing papers by David M Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2005280
2 2000130
3 1999107
4 2000107
5 200465
6 200159
7 201057
8
Attenuated recombinant vaccinia virus expressing oncofetal antigen (tumor-associated antigen) 5T4 induces active therapy of established tumors.
200256
9 201047
10 200244
11 200744
12 199333
13 200530
14 200028
15 200223
16 200222
17 200216
18
The induction of respiratory syncytial virus-specific cytotoxic T-cell responses following immunization with a synthetic peptide containing a fusion peptide linked to a cytotoxic T lymphocyte epitope.
199514
19 19976
20 19971

About David M Shaw

David M Shaw is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Food Science, Oncology and Cell Biology, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Probiotics and Fermented Foods (2 papers), Radiopharmaceutical Chemistry and Applications (1 paper), CAR-T cell therapy research (1 paper), Respiratory viral infections research (1 paper), Chemokine receptors and signaling (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Oncology (292 citations), Immunology (177 citations), Food Science (94 citations), Cell Biology (44 citations) and Radiology, Nuclear Medicine and Imaging (60 citations). David M Shaw has collaborated with scholars based in United Kingdom, Netherlands and New Zealand. Frequent co-authors include Peter L. Stern, Robert E. Hawkins, Shahram Salek‐Ardakani, John R. Arrand, Mike Mackett, David Edward Gilham, M. J. Embleton, Joely J. Irlam, Ryan D. Guest and Eleanor J. Cheadle. Their work appears in journals such as British Journal of Cancer, Biochemical Journal, Immunology Letters, Blood and Molecular Immunology.

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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