Isabelle Morel

3.4k total citations · 1 hit paper
102 papers, 2.6k citations indexed

About

Isabelle Morel is a scholar working on Molecular Biology, Pharmacology and Toxicology. According to data from OpenAlex, Isabelle Morel has authored 102 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 26 papers in Pharmacology and 17 papers in Toxicology. Recurrent topics in Isabelle Morel's work include Metabolomics and Mass Spectrometry Studies (17 papers), Forensic Toxicology and Drug Analysis (17 papers) and Pharmacogenetics and Drug Metabolism (16 papers). Isabelle Morel is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (17 papers), Forensic Toxicology and Drug Analysis (17 papers) and Pharmacogenetics and Drug Metabolism (16 papers). Isabelle Morel collaborates with scholars based in France, Switzerland and Lebanon. Isabelle Morel's co-authors include Pierre Cillard, Gérard Lescoat, Josiane Cillard, Odile Sergent, Pierre Brissot, Nicole Pasdeloup, J. Cillard, Thomas Gicquel, Martine Chevanne and Brendan Le Daré and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Hepatology.

In The Last Decade

Isabelle Morel

92 papers receiving 2.5k citations

Hit Papers

Antioxidant and iron-chelating activities of the flavonoi... 1993 2026 2004 2015 1993 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabelle Morel France 24 784 457 407 368 304 102 2.6k
C. Di Giacomo Italy 35 1.4k 1.8× 471 1.0× 262 0.6× 156 0.4× 185 0.6× 118 3.5k
Robert Domitrović Croatia 28 748 1.0× 250 0.5× 346 0.9× 686 1.9× 175 0.6× 54 2.5k
Elena Chiarpotto Italy 32 1.5k 1.9× 487 1.1× 372 0.9× 307 0.8× 211 0.7× 75 3.5k
Marc W. Fariss United States 32 1.3k 1.7× 622 1.4× 181 0.4× 400 1.1× 175 0.6× 59 3.5k
Yukiko Minamiyama Japan 28 888 1.1× 139 0.3× 282 0.7× 340 0.9× 156 0.5× 101 2.9k
Robert J. Nijveldt Netherlands 22 1.0k 1.3× 981 2.1× 265 0.7× 270 0.7× 109 0.4× 49 4.3k
Seyed Mohammad Nabavi Iran 26 1.3k 1.7× 547 1.2× 341 0.8× 432 1.2× 71 0.2× 31 3.6k
Phiwayinkosi V. Dludla South Africa 33 1.1k 1.5× 407 0.9× 625 1.5× 258 0.7× 78 0.3× 143 3.4k
Pierre S. Haddad Canada 38 1.4k 1.7× 1.1k 2.4× 310 0.8× 622 1.7× 199 0.7× 127 4.3k
Tom S. Chan United States 22 895 1.1× 508 1.1× 121 0.3× 327 0.9× 90 0.3× 56 2.2k

Countries citing papers authored by Isabelle Morel

Since Specialization
Citations

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

Fields of papers citing papers by Isabelle Morel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabelle Morel

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

All Works

20 of 20 papers shown
2.
Pelletier, Romain, et al.. (2025). Identifying metabolites of new psychoactive substances using in silico prediction tools. Archives of Toxicology. 99(7). 2953–2973. 2 indexed citations
3.
Pelletier, Romain, et al.. (2025). Chemsex, drugs and consequences: A short review. Therapies.
4.
Pelletier, Romain, Brendan Le Daré, Pierre‐Jean Ferron, et al.. (2023). Identification, synthesis and quantification of eutylone consumption markers in a chemsex context. Archives of Toxicology. 98(1). 151–158. 8 indexed citations
5.
Pelletier, Romain, Thomas Gicquel, Julien Carvelli, et al.. (2023). Severe 25E-NBOH intoxication associated with MDPHP intake: a case report, metabolism study, and literature review. International Journal of Legal Medicine. 138(3). 815–822. 4 indexed citations
6.
Pelletier, Romain, Nicolas Fabresse, Pierre‐Jean Ferron, et al.. (2023). In silico and in vitro metabolism studies of the new synthetic opiate AP-237 (bucinnazine) using bioinformatics tools. Archives of Toxicology. 98(1). 165–179. 4 indexed citations
7.
Pelletier, Romain, et al.. (2022). Arylcyclohexylamine Derivatives: Pharmacokinetic, Pharmacodynamic, Clinical and Forensic Aspects. International Journal of Molecular Sciences. 23(24). 15574–15574. 13 indexed citations
8.
Pelletier, Romain, Thomas Gicquel, Pierre‐Jean Ferron, et al.. (2022). A Transversal Approach Combining In Silico, In Vitro and In Vivo Models to Describe the Metabolism of the Receptor Interacting Protein 1 Kinase Inhibitor Sibiriline. Pharmaceutics. 14(12). 2665–2665. 3 indexed citations
9.
Cantalapiedra-Hijar, Gonzalo, Isabelle Morel, G A Miller, et al.. (2022). Identifying cattle with superior growth feed efficiency through their natural 15N abundance and plasma urea concentration: A meta-analysis. SHILAP Revista de lepidopterología. 2. 3 indexed citations
11.
Ferron, Pierre‐Jean, Brendan Le Daré, Clara Steichen, et al.. (2021). Molecular Networking for Drug Toxicities Studies: The Case of Hydroxychloroquine in COVID-19 Patients. International Journal of Molecular Sciences. 23(1). 82–82. 11 indexed citations
12.
Pelletier, Romain, et al.. (2021). New psychoactive substance cocktail in an intensive care intoxication case elucidated by molecular networking. Clinical Toxicology. 60(1). 122–125. 18 indexed citations
13.
Gicquel, Thomas, Romain Pelletier, Camille Richeval, et al.. (2021). Metabolite elucidation of 2‐fluoro‐deschloroketamine (2F‐DCK) using molecular networking across three complementary in vitro and in vivo models. Drug Testing and Analysis. 14(1). 144–153. 19 indexed citations
14.
Daré, Brendan Le, et al.. (2021). In vivo and in vitro α-amanitin metabolism studies using molecular networking. Toxicology Letters. 346. 1–6. 25 indexed citations
15.
Morel, Isabelle, Pierre-Alain Dufey, R. P. Collins, et al.. (2014). Influence of ryegrass alone or blended with clover and chicory on feed intake and growth performance of steers.. 731–733. 2 indexed citations
16.
Laviolle, Bruno, David Aguillón, Philippe Compagnon, et al.. (2011). Effect of an anesthesia with propofol compared with desflurane on free radical production and liver function after partial hepatectomy. Fundamental and Clinical Pharmacology. 26(6). 735–742. 19 indexed citations
17.
Morel, Isabelle, et al.. (2010). Influence of an energy deficient diet on milk composition.. Agrarforschung Schweiz. 66–73. 1 indexed citations
18.
Wyss, Ueli, Isabelle Morel, M. Collomb, et al.. (2006). Fatty acid content of three grass/clover mixtures.. 11(27). 348–350. 2 indexed citations
19.
Morel, Isabelle, et al.. (2005). Influence of the botanical composition of grass or hay on milk composition. 1 indexed citations
20.
Morel, Isabelle, Gérard Lescoat, Pierre Cillard, & J. Cillard. (1994). [43] Role of flavonoids and iron chelation in antioxidant action. Methods in enzymology on CD-ROM/Methods in enzymology. 234. 437–443. 152 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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