D M Blakeley

1.1k citations
27 papers · 943 indexed · h-index 16

Impact in

Papers in

    • Virus-based gene therapy research 6
    • Cancer Cells and Metastasis 3
    • CAR-T cell therapy research 2

D M Blakeley

27 papers receiving 907 citations

Peers

D M Blakeley
Comparison fields: 5 of 84
  • Virology 39
  • Reproductive Medicine 66
  • Cellular and Molecular Neuroscience 133
  • Molecular Biology 484
  • Genetics 189
Replace Marita Büscher with:
Marita Büscher Germany
Paul W. Howard United States
Suzanne K. Beckner United States
Nathalie Bédard Canada
Steffen Faisst Germany
Aleth Callé France
Androulla Elia United Kingdom
Yves Bourlet France
Yves Paquette Canada
J T Conary United States
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Citations per field
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Marita Büscher · 1×
Citations per year

Countries citing papers authored by D M Blakeley

Since Specialization
Citations

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

Fields of papers citing papers by D M Blakeley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20158
2 200115
3
Preclinical evaluation of "whole" cell vaccines for prophylaxis and therapy using a disabled infectious single cycle-herpes simplex virus vector to transduce cytokine genes.
200031
4 199810
5 1997135
6 199021
7 199012
8 198926
9 198948
10 19885
11 198826
12 1987102
13 198615
14 1986168
15 198425
16 198431
17 19831
18 198311
19 198235
20 198131

About D M Blakeley

D M Blakeley is a scholar working on Genetics, Oncology, Hepatology, Reproductive Medicine and Virology, having authored 27 papers that have together received 943 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Cancer Cells and Metastasis (3 papers), Herpesvirus Infections and Treatments (3 papers), CAR-T cell therapy research (2 papers), Liver physiology and pathology (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Virology (39 citations), Reproductive Medicine (66 citations), Cellular and Molecular Neuroscience (133 citations), Molecular Biology (484 citations) and Genetics (189 citations). D M Blakeley has collaborated with scholars based in Slovakia, United Kingdom and Italy. Frequent co-authors include Kenneth D. Brown, Anthony N. Corps, Michael J. Berridge, John P. Heslop, Robin F. Irvine, K. D. Brown, M. Hamon, C. S. McLean, M. E. G. Boursnell and Hamish M. Fraser. Their work appears in journals such as Biochemical Journal, Journal of Endocrinology, Bioscience Reports, The Journal of Gene Medicine and Endocrinology.

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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