Anne Gardin

1.3k total citations
25 papers, 791 citations indexed

About

Anne Gardin is a scholar working on Molecular Biology, Biomaterials and Plant Science. According to data from OpenAlex, Anne Gardin has authored 25 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Biomaterials and 5 papers in Plant Science. Recurrent topics in Anne Gardin's work include Sphingolipid Metabolism and Signaling (11 papers), Phytochemistry and Bioactive Compounds (5 papers) and Plant-derived Lignans Synthesis and Bioactivity (5 papers). Anne Gardin is often cited by papers focused on Sphingolipid Metabolism and Signaling (11 papers), Phytochemistry and Bioactive Compounds (5 papers) and Plant-derived Lignans Synthesis and Bioactivity (5 papers). Anne Gardin collaborates with scholars based in Switzerland, United States and India. Anne Gardin's co-authors include P. Hubert, Gérard Crémel, Dominique Aunis, Amar Bennasroune, Eric Legangneux, Donald R. Johns, Sylvie Dirrig‐Grosch, Kasra Shakeri‐Nejad, Felix Huth and M Ficková and has published in prestigious journals such as Neurology, The FASEB Journal and Cellular and Molecular Life Sciences.

In The Last Decade

Anne Gardin

25 papers receiving 775 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Gardin Switzerland 15 480 154 146 83 81 25 791
Α. Φωτίου United Kingdom 14 339 0.7× 141 0.9× 208 1.4× 61 0.7× 35 0.4× 23 755
Kostas D. Katsanakis United Kingdom 7 806 1.7× 224 1.5× 158 1.1× 68 0.8× 76 0.9× 7 1.0k
Zi Wang China 17 585 1.2× 91 0.6× 205 1.4× 103 1.2× 31 0.4× 64 968
Lynn Ueno United States 9 630 1.3× 75 0.5× 221 1.5× 126 1.5× 14 0.2× 13 910
Eiji Kobayashi Japan 15 589 1.2× 50 0.3× 237 1.6× 78 0.9× 24 0.3× 36 961
Christian Beerli Switzerland 18 854 1.8× 231 1.5× 170 1.2× 226 2.7× 19 0.2× 31 1.2k
C.K. Allerston United Kingdom 14 505 1.1× 43 0.3× 108 0.7× 37 0.4× 26 0.3× 20 693
Nora D. Mineva United States 10 801 1.7× 89 0.6× 315 2.2× 121 1.5× 23 0.3× 13 1.2k
Xiaoting Hong China 14 672 1.4× 163 1.1× 207 1.4× 114 1.4× 13 0.2× 28 988
Maria Eugenia Gallo Cantafio Italy 16 939 2.0× 133 0.9× 160 1.1× 86 1.0× 24 0.3× 37 1.2k

Countries citing papers authored by Anne Gardin

Since Specialization
Citations

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

Fields of papers citing papers by Anne Gardin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Gardin

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Gardin. A scholar is included among the top collaborators of Anne Gardin 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 Anne Gardin. Anne Gardin 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
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Bigaud, Marc, Bettina Rudolph, Emmanuelle Briard, et al.. (2021). Siponimod (BAF312) penetrates, distributes, and acts in the central nervous system: Preclinical insights. Multiple Sclerosis Journal - Experimental Translational and Clinical. 7(4). 3080412368–3080412368. 20 indexed citations
3.
Bigaud, Marc, Bettina Rudolph, Emmanuelle Briard, et al.. (2020). Siponimod Penetrates, Distributes and Acts on the Central Nervous System: Translational Insights (3973). Neurology. 94(15_supplement). 4 indexed citations
4.
Shakeri‐Nejad, Kasra, et al.. (2020). Safety, Tolerability, Pharmacodynamics and Pharmacokinetics of Intravenous Siponimod: A Randomized, Open-label Study in Healthy Subjects. Clinical Therapeutics. 42(1). 175–195. 8 indexed citations
5.
Gardin, Anne, et al.. (2019). Siponimod pharmacokinetics, safety, and tolerability in combination with the potent CYP3A4 inhibitor itraconazole in healthy subjects with different CYP2C9 genotypes. European Journal of Clinical Pharmacology. 75(11). 1565–1574. 10 indexed citations
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Gardin, Anne, Mike Ufer, Eric Legangneux, et al.. (2018). Effect of Fluconazole Coadministration and CYP2C9 Genetic Polymorphism on Siponimod Pharmacokinetics in Healthy Subjects. Clinical Pharmacokinetics. 58(3). 349–361. 23 indexed citations
9.
Gardin, Anne, et al.. (2018). Siponimod pharmacokinetics, safety, and tolerability in combination with rifampin, a CYP2C9/3A4 inducer, in healthy subjects. European Journal of Clinical Pharmacology. 74(12). 1593–1604. 11 indexed citations
10.
Gardin, Anne, et al.. (2018). Absolute Bioavailability of Single, Oral Dose of Siponimod in Healthy Subjects (P3.402). Neurology. 90(15_supplement). 1 indexed citations
11.
Jin, Yi, et al.. (2017). In vitro studies and in silico predictions of fluconazole and CYP2C9 genetic polymorphism impact on siponimod metabolism and pharmacokinetics. European Journal of Clinical Pharmacology. 74(4). 455–464. 23 indexed citations
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Trenité, Dorothée Kasteleijn‐Nolst, Christian Brandt, Felix Rosenow, et al.. (2015). Dose‐dependent suppression of human photoparoxysmal response with the competitive AMPA/kainate receptor antagonist BGG492: Clear PK/PD relationship. Epilepsia. 56(6). 924–932. 23 indexed citations
14.
Pan, Shifeng, Nathanael S. Gray, Wenqi Gao, et al.. (2013). Discovery of BAF312 (Siponimod), a Potent and Selective S1P Receptor Modulator. ACS Medicinal Chemistry Letters. 4(3). 333–337. 130 indexed citations
15.
Legangneux, Eric, Anne Gardin, & Donald R. Johns. (2012). Dose titration of BAF312 attenuates the initial heart rate reducing effect in healthy subjects. British Journal of Clinical Pharmacology. 75(3). 831–841. 56 indexed citations
16.
Gardin, Anne, Klaus Kucher, Beate Kiese, & Silke Appel‐Dingemanse. (2009). Cannabinoid Receptor Agonist 13, a Novel Cannabinoid Agonist: First in Human Pharmacokinetics and Safety. Drug Metabolism and Disposition. 37(4). 827–833. 26 indexed citations
17.
Trevaskis, Natalie L., David M. Shackleford, William N. Charman, et al.. (2009). Intestinal Lymphatic Transport Enhances the Post-Prandial Oral Bioavailability of a Novel Cannabinoid Receptor Agonist Via Avoidance of First-Pass Metabolism. Pharmaceutical Research. 26(6). 1486–1495. 42 indexed citations
18.
Souppart, C., Anne Gardin, Gérard Greig, et al.. (2008). Pharmacokinetics of Licarbazepine in Healthy Volunteers: Single and Multiple Oral Doses and Effect of Food. The Journal of Clinical Pharmacology. 48(5). 563–569. 5 indexed citations
19.
Bennasroune, Amar, Anne Gardin, Colette Auzan, et al.. (2005). Inhibition by transmembrane peptides of chimeric insulin receptors. Cellular and Molecular Life Sciences. 62(18). 2124–2131. 32 indexed citations
20.
Bennasroune, Amar, Anne Gardin, Dominique Aunis, Gérard Crémel, & P. Hubert. (2003). Tyrosine kinase receptors as attractive targets of cancer therapy. Critical Reviews in Oncology/Hematology. 50(1). 23–38. 138 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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