Camille Prével

468 total citations
8 papers, 371 citations indexed

About

Camille Prével is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Camille Prével has authored 8 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Camille Prével's work include Cancer-related Molecular Pathways (4 papers), Microtubule and mitosis dynamics (2 papers) and Melanoma and MAPK Pathways (2 papers). Camille Prével is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Microtubule and mitosis dynamics (2 papers) and Melanoma and MAPK Pathways (2 papers). Camille Prével collaborates with scholars based in France, United Kingdom and Belgium. Camille Prével's co-authors include May C. Morris, Morgan Pellerano, Marion Peyressatre, Thi Nhu Ngoc Van, L. Meunier, P Stoebner, Véronique Josserand, Julien Vollaire, Laurent Meunier and Laëtitia Kurzawa and has published in prestigious journals such as Journal of Investigative Dermatology, Biosensors and Bioelectronics and European Journal of Medicinal Chemistry.

In The Last Decade

Camille Prével

8 papers receiving 362 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Camille Prével France	6	204	168	100	72	49	8	371
Morgan Pellerano France	12	337 1.7×	213 1.3×	119 1.2×	104 1.4×	72 1.5×	18	549
Edward J. Lewis United Kingdom	5	223 1.1×	150 0.9×	77 0.8×	46 0.6×	40 0.8×	5	360
Jacob I. Contreras United States	10	344 1.7×	195 1.2×	85 0.8×	124 1.7×	61 1.2×	12	536
Aurélie Mallinger France	10	226 1.1×	234 1.4×	149 1.5×	151 2.1×	58 1.2×	17	539
Sebastian H. B. Kroll United Kingdom	7	205 1.0×	194 1.2×	117 1.2×	50 0.7×	58 1.2×	7	348
Elisabeth V. Schneider Germany	7	238 1.2×	172 1.0×	76 0.8×	37 0.5×	73 1.5×	8	409
Smitha Kizhake United States	14	310 1.5×	162 1.0×	71 0.7×	132 1.8×	42 0.9×	20	490
Nicole Willemsen‐Seegers Netherlands	11	229 1.1×	99 0.6×	49 0.5×	45 0.6×	62 1.3×	18	371
Sarah J. Firdaus United States	6	482 2.4×	192 1.1×	76 0.8×	71 1.0×	47 1.0×	7	586
Lora A. Tucker United States	13	326 1.6×	242 1.4×	84 0.8×	61 0.8×	56 1.1×	15	577

Countries citing papers authored by Camille Prével

Since Specialization

Citations

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

Fields of papers citing papers by Camille Prével

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Camille Prével

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

All Works

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8 of 8 papers shown

Hall, Adrian, Jan Abendroth, Tom Ceska, et al.. (2022). Discovery and Characterization of a Novel Series of Chloropyrimidines as Covalent Inhibitors of the Kinase MSK1. ACS Medicinal Chemistry Letters. 13(7). 1099–1108. 7 indexed citations

Prével, Camille, et al.. (2019). 230 Psoriatic epidermis is associated with upregulation of CDK2 and inhibition of CDK4 activity. Journal of Investigative Dermatology. 139(9). S254–S254. 3 indexed citations

Prével, Camille, et al.. (2019). Psoriatic epidermis is associated with upregulation of CDK 2 and inhibition of CDK 4 activity. British Journal of Dermatology. 182(3). 678–689. 26 indexed citations

Prével, Camille, Morgan Pellerano, Juan A. González‐Vera, et al.. (2016). Fluorescent peptide biosensor for monitoring CDK4/cyclin D kinase activity in melanoma cell extracts, mouse xenografts and skin biopsies. Biosensors and Bioelectronics. 85. 371–380. 22 indexed citations

Pellerano, Morgan, Marion Peyressatre, Camille Prével, et al.. (2016). TP‐2Rho Is a Sensitive Solvatochromic Red‐Shifted Probe for Monitoring the Interactions between CDK4 and Cyclin D. ChemBioChem. 17(8). 737–744. 5 indexed citations

Peyressatre, Marion, Camille Prével, Morgan Pellerano, & May C. Morris. (2015). Targeting Cyclin-Dependent Kinases in Human Cancers: From Small Molecules to Peptide Inhibitors. Cancers. 7(1). 179–237. 269 indexed citations

Prével, Camille, Laëtitia Kurzawa, Thi Nhu Ngoc Van, & May C. Morris. (2014). Fluorescent biosensors for drug discovery new tools for old targets – Screening for inhibitors of cyclin-dependent kinases. European Journal of Medicinal Chemistry. 88. 74–88. 12 indexed citations

Prével, Camille, Morgan Pellerano, Thi Nhu Ngoc Van, & May C. Morris. (2013). Fluorescent biosensors for high throughput screening of protein kinase inhibitors. Biotechnology Journal. 9(2). 253–265. 27 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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