Philippe Dezélée

515 citations
24 papers · 437 · h-index 11

Impact in

Papers in

Philippe Dezélée

24 papers receiving 388 citations

Peers

Philippe Dezélée
Comparison fields: 5 of 66
  • Animal Science and Zoology 44
  • Genetics 113
  • Molecular Biology 280
  • Microbiology 3
  • Virology 17
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J. Hellman Finland
Barry Milavetz United States
S.C. Schultz United States
Amalia Pavlovec United States
Pascal Rigolet France
Dwight E. Wilson United States
F. Gissinger France
Terence P. McDonald United Kingdom
Ishwari Prasad United States
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Citations per field
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Citations per year

Countries citing papers authored by Philippe Dezélée

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Dezélée

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196761
2 196960
3 199155
4 198835
5 199434
6 197529
7
Quail neuroretina c-Rmil(B-raf) proto-oncogene cDNAs encode two proteins of 93.5 and 95 kDa resulting from alternative splicing.
199225
8 198922
9 197020
10 198413
11 199613
12 19769
13 19908
14
[On the identity of mucoendopeptidase and carboxypeptidase I of Escherichia coli, enzymes hydrolyzing bonds of the D-D configuration and inhibited by penicillin].
19698
15 19947
16 19927
17 19896
18 19876
19
Phenotypic changes induced by wild type and variant c-src genes carrying C-terminal sequence alterations.
19965
20 19904

About Philippe Dezélée

Philippe Dezélée is a scholar working on Animal Science and Zoology, Molecular Biology, Genetics, Plant Science and Immunology, having authored 24 papers that have together received 437 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (12 papers), Virus-based gene therapy research (7 papers), Plant Virus Research Studies (5 papers), interferon and immune responses (4 papers), RNA and protein synthesis mechanisms (4 papers), Enzyme Catalysis and Immobilization (2 papers), Animal Genetics and Reproduction (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Animal Science and Zoology (44 citations), Genetics (113 citations), Molecular Biology (280 citations), Microbiology (3 citations) and Virology (17 citations). Philippe Dezélée has collaborated with scholars based in France, Morocco and Belgium. Frequent co-authors include Georges Calothy, E. Bricas, D Laugier, Jean‐Marie Ghuysen, Maria Marx, Gerald D. Shockman, Patricia Crisanti, Bernard Pessac, Alain Eychène and Jean van Heijenoort. Their work appears in journals such as Journal of Virology, Virology, Biochemistry, Nucleic Acids Research and Journal of Biological Chemistry.

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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