J P Lévy

403 total citations
15 papers, 304 citations indexed

About

J P Lévy is a scholar working on Immunology, Epidemiology and Genetics. According to data from OpenAlex, J P Lévy has authored 15 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 5 papers in Epidemiology and 5 papers in Genetics. Recurrent topics in J P Lévy's work include Immune Cell Function and Interaction (8 papers), Virus-based gene therapy research (4 papers) and Immunotherapy and Immune Responses (3 papers). J P Lévy is often cited by papers focused on Immune Cell Function and Interaction (8 papers), Virus-based gene therapy research (4 papers) and Immunotherapy and Immune Responses (3 papers). J P Lévy collaborates with scholars based in France and Italy. J P Lévy's co-authors include Luigi D. Notarangelo, Lucia Salvi, Fabio Facchetti, Yvette Hénin, Fernando Plata, E Gomard, F Lilly, Ghislaine Sterkers, Jorge Kalil and J Lasneret and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and JNCI Journal of the National Cancer Institute.

In The Last Decade

J P Lévy

15 papers receiving 271 citations

Peers

J P Lévy
Comparison fields: 5 of 47
  • Immunology 217
  • Molecular Biology 63
  • Genetics 57
  • Radiology, Nuclear Medicine and Imaging 39
  • Hematology 30
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Citations per field, relative to J P Lévy
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Citations per year, relative to J P Lévy
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Countries citing papers authored by J P Lévy

Since Specialization
Citations

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

Fields of papers citing papers by J P Lévy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J P Lévy. 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 J P Lévy. The network helps show where J P Lévy may publish in the future.

Co-authorship network of co-authors of J P Lévy

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 22
2
Immunohistologic analysis of ineffective CD40-CD40 ligand interaction in lymphoid tissues from patients with X-linked immunodeficiency with hyper-IgM. Abortive germinal center cell reaction and severe depletion of follicular dendritic cells.
94
3 1
4 4
5 6
6 36
7
Controle genetique des leucemies murines induites par le virus de moloney.
1
8 35
9 25
10 3
11
[Auto-immune hemolytic anemia associated with Kaposi's sarcoma. Report of a new case (author's transl)].
3
12
Enhancement of virus-induced leukemias and sarcomas in F 1 hybrid mice inoculated with parental spleen cells.
9
13 17
14 14
15 34

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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