Jean-Philippe Parvy

2.7k total citations
19 papers, 2.0k citations indexed

About

Jean-Philippe Parvy is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Immunology. According to data from OpenAlex, Jean-Philippe Parvy has authored 19 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Jean-Philippe Parvy's work include Neurobiology and Insect Physiology Research (10 papers), Invertebrate Immune Response Mechanisms (6 papers) and Insect Utilization and Effects (5 papers). Jean-Philippe Parvy is often cited by papers focused on Neurobiology and Insect Physiology Research (10 papers), Invertebrate Immune Response Mechanisms (6 papers) and Insect Utilization and Effects (5 papers). Jean-Philippe Parvy collaborates with scholars based in France, United States and United Kingdom. Jean-Philippe Parvy's co-authors include Chantal Dauphin‐Villemant, Michael B. O’Connor, James T. Warren, Lawrence I. Gilbert, Anna Petryk, Guillermo Marqués, Michael Jarcho, Yutai Li, Jacques Montagne and Thomas Rubin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Molecular Cell.

In The Last Decade

Jean-Philippe Parvy

19 papers receiving 2.0k citations

Peers

Jean-Philippe Parvy
Jinsong Zhu United States
Michael Bender United States
Geanette Lam United States
Alan D. Shirras United Kingdom
Michael Jarcho United States
Jean-Philippe Parvy
Citations per year, relative to Jean-Philippe Parvy Jean-Philippe Parvy (= 1×) peers Takashi Koyama

Countries citing papers authored by Jean-Philippe Parvy

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Philippe Parvy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean-Philippe Parvy

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

All Works

19 of 19 papers shown
1.
Terhzaz, Selim, David Kerrigan, Agnieszka M. Szemiel, et al.. (2025). NSm is a critical determinant for bunyavirus transmission between vertebrate and mosquito hosts. Nature Communications. 16(1). 1214–1214. 3 indexed citations
2.
Parvy, Jean-Philippe, et al.. (2021). Drosophila Larval Models of Invasive Tumorigenesis for In Vivo Studies on Tumour/Peripheral Host Tissue Interactions during Cancer Cachexia. International Journal of Molecular Sciences. 22(15). 8317–8317. 14 indexed citations
3.
Pondeville, Emilie, Jean-Philippe Parvy, Guillaume Carissimo, et al.. (2020). Hemocyte-targeted gene expression in the female malaria mosquito using the hemolectin promoter from Drosophila. Insect Biochemistry and Molecular Biology. 120. 103339–103339. 11 indexed citations
4.
Jacqueline, Camille, Jean-Philippe Parvy, François Renaud, et al.. (2020). The role of innate immunity in the protection conferred by a bacterial infection against cancer: study of an invertebrate model. Scientific Reports. 10(1). 10106–10106. 8 indexed citations
5.
Parvy, Jean-Philippe, Yachuan Yu, Anna Dostálová, et al.. (2019). The antimicrobial peptide defensin cooperates with tumour necrosis factor to drive tumour cell death in Drosophila. eLife. 8. 71 indexed citations
6.
Beaumatin, Florian, Jim O’Prey, Valentin J.A. Barthet, et al.. (2019). mTORC1 Activation Requires DRAM-1 by Facilitating Lysosomal Amino Acid Efflux. Molecular Cell. 76(1). 163–176.e8. 40 indexed citations
7.
Parvy, Jean-Philippe, et al.. (2018). Drosophilaas a Model System to Study Nonautonomous Mechanisms Affecting Tumour Growth and Cell Death. BioMed Research International. 2018. 1–13. 15 indexed citations
8.
Mamaï, Wadaka, Karine Mouline, Jean-Philippe Parvy, et al.. (2016). Morphological changes in the spiracles of Anopheles gambiae s.l (Diptera) as a response to the dry season conditions in Burkina Faso (West Africa). Parasites & Vectors. 9(1). 11–11. 16 indexed citations
9.
Garrido, Damien, Thomas Rubin, Mickaël Poidevin, et al.. (2015). Fatty Acid Synthase Cooperates with Glyoxalase 1 to Protect against Sugar Toxicity. PLoS Genetics. 11(2). e1004995–e1004995. 79 indexed citations
10.
Wicker, Thomas, Damien Garrido, Béatrice Denis, et al.. (2015). Flexible origin of hydrocarbon/pheromone precursors in Drosophila melanogaster. Journal of Lipid Research. 56(11). 2094–2101. 83 indexed citations
11.
Parvy, Jean-Philippe, Peng Wang, Damien Garrido, et al.. (2014). Forward and feedback regulation of cyclic steroid production in Drosophila melanogaster. Development. 141(20). 3955–3965. 44 indexed citations
12.
Parvy, Jean-Philippe, Thomas Rubin, Mickaël Poidevin, et al.. (2012). Drosophila melanogaster Acetyl-CoA-Carboxylase Sustains a Fatty Acid–Dependent Remote Signal to Waterproof the Respiratory System. PLoS Genetics. 8(8). e1002925–e1002925. 106 indexed citations
13.
Parvy, Jean-Philippe, Shivani Pasricha, Christopher Lumb, et al.. (2010). CYP18A1, a key enzyme of Drosophila steroid hormone inactivation, is essential for metamorphosis. Developmental Biology. 349(1). 35–45. 180 indexed citations
14.
Montagne, Jacques, Jean-Philippe Parvy, Thomas Radimerski, et al.. (2010). The Nuclear Receptor DHR3 Modulates dS6 Kinase–Dependent Growth in Drosophila. PLoS Genetics. 6(5). e1000937–e1000937. 15 indexed citations
15.
Ono, Hajime, MaryJane Shimell, Jean-Philippe Parvy, et al.. (2007). Prothoracicotropic Hormone Regulates Developmental Timing and Body Size in Drosophila. Developmental Cell. 13(6). 857–871. 331 indexed citations
16.
Parvy, Jean-Philippe, Catherine Blais, Fred Bernard, et al.. (2005). A role for βFTZ-F1 in regulating ecdysteroid titers during post-embryonic development in Drosophila melanogaster. Developmental Biology. 282(1). 84–94. 112 indexed citations
17.
Warren, James T., Anna Petryk, Guillermo Marqués, et al.. (2004). Phantom encodes the 25-hydroxylase of Drosophila melanogaster and Bombyx mori: a P450 enzyme critical in ecdysone biosynthesis. Insect Biochemistry and Molecular Biology. 34(9). 991–1010. 248 indexed citations
18.
Petryk, Anna, James T. Warren, Guillermo Marqués, et al.. (2003). Shade is the Drosophila P450 enzyme that mediates the hydroxylation of ecdysone to the steroid insect molting hormone 20-hydroxyecdysone. Proceedings of the National Academy of Sciences. 100(24). 13773–13778. 381 indexed citations
19.
Warren, James T., Anna Petryk, Guillermo Marqués, et al.. (2002). Molecular and biochemical characterization of two P450 enzymes in the ecdysteroidogenic pathway of Drosophila melanogaster. Proceedings of the National Academy of Sciences. 99(17). 11043–11048. 278 indexed citations

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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