Florence Paillard

1.8k total citations
26 papers, 1.1k citations indexed

About

Florence Paillard is a scholar working on Physiology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Florence Paillard has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 6 papers in Molecular Biology and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Florence Paillard's work include Pain Mechanisms and Treatments (6 papers), Virus-based gene therapy research (4 papers) and RNA Interference and Gene Delivery (4 papers). Florence Paillard is often cited by papers focused on Pain Mechanisms and Treatments (6 papers), Virus-based gene therapy research (4 papers) and RNA Interference and Gene Delivery (4 papers). Florence Paillard collaborates with scholars based in United States, France and Netherlands. Florence Paillard's co-authors include Nathaniel P. Katz, Evan F. Ekman, Jeremiah Trudeau, Catherine Vaquero, Ghislaine Sterkers, Malcolm Stoker, Elise Bailey, Barry Turnbull, Richard C. Dart and Marc Wathelet and has published in prestigious journals such as Nucleic Acids Research, The EMBO Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Florence Paillard

26 papers receiving 1.0k citations

Peers

Florence Paillard
Stephanie Arnold United Kingdom
Pierre Piletta Switzerland
Cheryl A. Black United States
Howard S. Kim United States
Caroline Swan United Kingdom
Priya Patel United States
Florence Paillard
Citations per year, relative to Florence Paillard Florence Paillard (= 1×) peers Stefano Coaccioli

Countries citing papers authored by Florence Paillard

Since Specialization
Citations

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

Fields of papers citing papers by Florence Paillard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Paillard

This figure shows the co-authorship network connecting the top 25 collaborators of Florence Paillard. A scholar is included among the top collaborators of Florence Paillard 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 Paillard. Florence Paillard 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
1.
Meske, Diana, et al.. (2018). Efficacy of opioids versus placebo in chronic pain: a systematic review and meta-analysis of enriched enrollment randomized withdrawal trials. Journal of Pain Research. Volume 11. 923–934. 50 indexed citations
2.
Smith, Shannon M., Florence Paillard, Andrew McKeown, et al.. (2015). Instruments to Identify Prescription Medication Misuse, Abuse, and Related Events in Clinical Trials: An ACTTION Systematic Review. Journal of Pain. 16(5). 389–411. 23 indexed citations
3.
Katz, Nathaniel P., Florence Paillard, & Evan F. Ekman. (2015). Determining the clinical importance of treatment benefits for interventions for painful orthopedic conditions. Journal of Orthopaedic Surgery and Research. 10(1). 24–24. 268 indexed citations
4.
Katz, Nathaniel P., et al.. (2014). Predictors of Response in Patients With Postherpetic Neuralgia and HIV-Associated Neuropathy Treated With the 8% Capsaicin Patch (Qutenza). Clinical Journal of Pain. 31(10). 859–866. 20 indexed citations
5.
Katz, Nathaniel P., et al.. (2014). A Review of the Use of the Number Needed to Treat to Evaluate the Efficacy of Analgesics. Journal of Pain. 16(2). 116–123. 29 indexed citations
6.
Paillard, Florence, et al.. (2013). Qutenza (Capsaicin) 8% Patch Onset and Duration of Response and Effects of Multiple Treatments in Neuropathic Pain Patients. Clinical Journal of Pain. 30(4). 286–294. 41 indexed citations
7.
Paillard, Florence, et al.. (2013). Efficacy of Qutenza® (capsaicin) 8% patch for neuropathic pain: A meta-analysis of the Qutenza Clinical Trials Database. Pain. 154(9). 1632–1639. 68 indexed citations
8.
Katz, Nathaniel P., Lee Panas, Meelee Kim, et al.. (2009). Usefulness of prescription monitoring programs for surveillance—analysis of Schedule II opioid prescription data in Massachusetts, 1996–2006. Pharmacoepidemiology and Drug Safety. 19(2). 115–123. 117 indexed citations
9.
Paillard, Florence. (1999). Induction of Apoptosis with I-kappa B, the Inhibitor of NF-kappa B. Human Gene Therapy. 10(1). 1–3. 12 indexed citations
10.
Paillard, Florence. (1998). Suppression of Angiogenesis: A Means to Fight Cancer. Human Gene Therapy. 9(6). 768–770. 1 indexed citations
12.
Paillard, Florence. (1997). Promoter attenuation in gene therapy: causes and remedies.. PubMed. 8(17). 2009–10. 34 indexed citations
13.
Paillard, Florence. (1997). The first physiologically regulated transgene for gene therapy: erythropoietin.. PubMed. 8(16). 1840–1. 2 indexed citations
14.
Paillard, Florence, Donat De Groote, Assia Eljaafari, et al.. (1995). Defective Cytokine Expression but Adult-Type T-Cell Receptor, CD8, and p56lck Modulation in CD3− or CD2-Activated T Cells from Neonates. Pediatric Research. 37(1). 64–69. 34 indexed citations
15.
Paillard, Florence, et al.. (1992). Correlation between up-regulation of lymphokine mRNA and down-regulation of TcR, CD4, CD8 and lck mRNA as shown by the effect of CsA on activated T lymphocytes. Biochemical and Biophysical Research Communications. 186(2). 603–611. 13 indexed citations
16.
Paillard, Florence & Catherine Vaquero. (1991). Down-regulation of lck mRNA by T cell activation involves transcriptional and post-transcriptional mechanisms. Nucleic Acids Research. 19(17). 4655–4661. 14 indexed citations
17.
Paillard, Florence, Ghislaine Sterkers, & Catherine Vaquero. (1990). Transcriptional and post-transcriptional regulation of TcR, CD4 and CD8 gene expression during activation of normal human T lymphocytes.. The EMBO Journal. 9(6). 1867–1872. 77 indexed citations
18.
Wathelet, Marc, I. Clauss, Florence Paillard, & Georges Huez. (1989). 2‐Aminopurine selectively blocks the transcriptional activation of cellular genes by virus, double‐stranded RNA and interferons in human cells. European Journal of Biochemistry. 184(3). 503–509. 58 indexed citations
19.
Paillard, Florence, et al.. (1989). Short Tertatolol Treatment Does not Impair the Hormone and Metabolic Responses to Exercise and Hypoglycemia in Diabetics. Hormone and Metabolic Research. 21(10). 561–565. 2 indexed citations
20.
Paillard, Florence, Ghislaine Sterkers, Georges Bismuth, E Gomard, & Catherine Vaquero. (1988). Lymphokine mRNA and T cell multireceptor mRNA of the Ig super gene family are reciprocally modulated during human T cell activation. European Journal of Immunology. 18(10). 1643–1646. 22 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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