Florence Souard

1.1k total citations
43 papers, 882 citations indexed

About

Florence Souard is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, Florence Souard has authored 43 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Organic Chemistry and 11 papers in Pharmacology. Recurrent topics in Florence Souard's work include Coffee research and impacts (7 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Phytochemicals and Antioxidant Activities (5 papers). Florence Souard is often cited by papers focused on Coffee research and impacts (7 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Phytochemicals and Antioxidant Activities (5 papers). Florence Souard collaborates with scholars based in France, Belgium and Spain. Florence Souard's co-authors include Ahcène Boumendjel, Cédric Delporte, E. Nicolle, Piet Stoffelen, Pierre Faure, Caroline Stévigny, Jean‐Michel Kauffmann, Pierre Van Antwerpen, Massimiliano Corso and Nathalie Verbruggen and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Florence Souard

38 papers receiving 864 citations

Peers

Florence Souard

PHARM

Sara Cravo Portugal

Markus Gershater United Kingdom

Edyta M. Grzelak United States

Shinsuke Marumoto Japan

Daniel P. Demarque Brazil

Xiang Fu China

Kumar Katragunta India

Dajana Gašo-Sokač Croatia

Ajmal Khan Pakistan

Sara Cravo Portugal

Florence Souard

191 ×0.7

167 ×0.8

147 ×0.8

189 ×1.2

PHARM

40 ×0.5

Citations per year, relative to Florence Souard Florence Souard (= 1×) peers Sara Cravo

Countries citing papers authored by Florence Souard

Since Specialization

Citations

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

Fields of papers citing papers by Florence Souard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Souard

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

All Works

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20 of 20 papers shown

Umehara, Kaoru, Kenji Watanabe, Walid Rachidi, et al.. (2025). Exploring traditional Japanese herbal ointments for wound healing: A wide diversity of practices, metabolites, and effects. Journal of Ethnopharmacology. 355(Pt A). 120651–120651.

Delporte, Cédric, Marie Tremblay‐Franco, Yann Guitton, et al.. (2025). Workflow4Metabolomics (W4M): A User‐Friendly Metabolomics Platform for Analysis of Mass Spectrometry and Nuclear Magnetic Resonance Data. Current Protocols. 5(2). e70095–e70095.

Montis, Andrea De, Jonathan W. Steed, Piet Stoffelen, et al.. (2025). Comparison between ZenoTOF 7600 system and QTOF for plant metabolome: an example of metabolomics applied to coffee leaves. Metabolomics. 21(1). 15–15.

Montis, Andrea De, Cédric Delporte, Piet Stoffelen, et al.. (2024). Targeted metabolomics and transcript profiling of methyltransferases in three coffee species. Plant Science. 345. 112117–112117.

Rojo-Poveda, Olga, Tom Ruttink, Olivier Honnay, et al.. (2024). Metabolite profiles of green leaves and coffee beans as predictors of coffee sensory quality in Robusta (Coffea canephora) germplasm from the Democratic Republic of the Congo. Applied Food Research. 4(2). 100560–100560. 1 indexed citations

Souard, Florence, et al.. (2023). Cancer patients’ behaviors and attitudes toward natural health products. BMC Complementary Medicine and Therapies. 23(1). 442–442. 5 indexed citations

Souard, Florence, et al.. (2022). HDI Highlighter, The First Intelligent Tool to Screen the Literature on Herb–Drug Interactions. Clinical Pharmacokinetics. 61(6). 761–788. 6 indexed citations

Pochet, Stéphanie, et al.. (2022). Herb-anticancer drug interactions in real life based on VigiBase, the WHO global database. Scientific Reports. 12(1). 14178–14178. 15 indexed citations

Delporte, Cédric, Nausicaa Noret, Olivier J. Hardy, et al.. (2021). Does the Phytochemical Diversity of Wild Plants Like the Erythrophleum genus Correlate with Geographical Origin?. Molecules. 26(6). 1668–1668. 4 indexed citations

10.

Touboul, David, Nicolas Elie, Martine Prévost, et al.. (2021). Untargeted metabolomics approach to discriminate mistletoe commercial products. Scientific Reports. 11(1). 14205–14205. 14 indexed citations

11.

Souard, Florence, Cédric Delporte, Piet Stoffelen, et al.. (2017). Metabolomics fingerprint of coffee species determined by untargeted-profiling study using LC-HRMS. Food Chemistry. 245. 603–612. 62 indexed citations

12.

Souard, Florence, Cédric Delporte, Eric Deconinck, et al.. (2017). Identification of coffee leaves using FT-NIR spectroscopy and SIMCA. Talanta. 177. 4–11. 64 indexed citations

13.

Binet, Marie-Noëlle, Diederik van Tuinen, Florence Souard, et al.. (2016). Responses of above- and below-ground fungal symbionts to cessation of mowing in subalpine grassland. Fungal ecology. 25. 14–21. 13 indexed citations

14.

Souard, Florence, Sandrine Perrier, Vincent Noël, et al.. (2015). Optimization of Experimental Parameters to Explore Small‐Ligand/Aptamer Interactions through Use of ¹H NMR Spectroscopy and Molecular Modeling. Chemistry - A European Journal. 21(44). 15740–15748. 7 indexed citations

15.

Souard, Florence, et al.. (2010). 1-Azaaurones derived from the naturally occurring aurones as potential antimalarial drugs. Bioorganic & Medicinal Chemistry. 18(15). 5724–5731. 49 indexed citations

16.

Boumendjel, Ahcène, Anne McLeer‐Florin, Pierre Champelovier, et al.. (2009). A novel chalcone derivative which acts as a microtubule depolymerising agent and an inhibitor of P-gp and BCRP in in-vitro and in-vivoglioblastoma models. BMC Cancer. 9(1). 242–242. 78 indexed citations

17.

Souard, Florence, Eva Muñoz, Pablo Peñalver, et al.. (2008). Sugar–Oligoamides: Bound‐State Conformation and DNA Minor‐Groove‐Binding Description by TR‐NOESY and Differential‐Frequency Saturation‐Transfer‐Difference Experiments. Chemistry - A European Journal. 14(8). 2435–2442. 15 indexed citations

18.

Roumy, Vincent, Nicolás Fabre, Florence Souard, et al.. (2006). Isolation and Antimalarial Activity of Alkaloids fromPseudoxandra cuspidata. Planta Medica. 72(10). 894–898. 10 indexed citations

19.

Bihel, Frédéric, et al.. (2004). N-Acyl substituted 7-amino-4-chloroisocoumarin: A peptide degradation model via an imide mechanism. Bioorganic & Medicinal Chemistry Letters. 14(7). 1771–1774. 1 indexed citations

20.

Souard, Florence, et al.. (2003). New Antiviral Nucleoside Prodrugs Await Application. Current Medicinal Chemistry. 10(18). 1825–1843. 38 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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