Philippe Casanova

702 citations
11 papers · 606 · h-index 8

Impact in

Papers in

    • Prion Diseases and Protein Misfolding 3
    • RNA Interference and Gene Delivery 2
    • Peroxisome Proliferator-Activated Receptors 1
    • Immune cells in cancer 2

Philippe Casanova

11 papers receiving 593 citations

Peers

Philippe Casanova
Comparison fields: 5 of 63
  • Developmental Neuroscience 109
  • Neurology 161
  • Virology 67
  • Immunology 176
  • Oncology 208
Replace Carine Vuaillat with:
Carine Vuaillat France
Ulrike Tontsch Austria
Sarah Mundt Switzerland
Stéphane Genoud United States
Saskia M. Burm Netherlands
Fiona M. Smart United States
Ernest Smith United States
George Chenaux United States
Eric Hatterer Switzerland
Ariel Arthur United Kingdom
Philippe Casanova relative to Carine Vuaillat France Carine Vuaillat's profile →
Citations per field
00.5×2×3×3.9×
Carine Vuaillat · 1×
Citations per year

Countries citing papers authored by Philippe Casanova

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Casanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2003248
2 2000139
3 200949
4 200447
5 200646
6 200833
7 200029
8 200112
9 19861
10
[Immunofluorescence of the synovial membrane. Study of 100 cases].
19811
11
[Effect of digestion on the immunoglobulin G concentration in the intestinal contents of replete Boophilus microplus females].
19971

About Philippe Casanova

Philippe Casanova is a scholar working on Molecular Biology, Immunology, Oncology, Neurology and Neurology, having authored 11 papers that have together received 606 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (3 papers), Chemokine receptors and signaling (2 papers), RNA Interference and Gene Delivery (2 papers), Immune cells in cancer (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Systemic Lupus Erythematosus Research (1 paper) and Enterobacteriaceae and Cronobacter Research (1 paper). The work is most often cited by research in Developmental Neuroscience (109 citations), Neurology (161 citations), Virology (67 citations), Immunology (176 citations) and Oncology (208 citations). Philippe Casanova has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Monique Dubois‐Dalcq, To Nam Tham, Françoise Lazarini, Fernando Arenzana‐Seisdedos, Erik De Clercq, Françoise Baleux, Vincenza Campana, Chiara Zurzolo, Daniela Sarnataro and Simona Paladino. Their work appears in journals such as Neurobiology of Disease, Journal of Clinical Microbiology, European Journal of Neuroscience, Biochemical Journal and Journal of Cell Science.

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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