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
Comparison fields: 5 of 105
  • Public Health, Environmental and Occupational Health 291
  • Surgery 255
  • Anesthesiology and Pain Medicine 188
  • Physiology 180
  • Pharmacology 169
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Citations per field, relative to Florence Paillard
Florence Paillard · 1×
Citations per year, relative to Florence Paillard
Florence Paillard · 1×

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
# Work Indexed citations
1 50
2 23
3 268
4 20
5 29
6 41
7 68
8 117
9 12
10 1
11 4
12
Promoter attenuation in gene therapy: causes and remedies.
34
13
The first physiologically regulated transgene for gene therapy: erythropoietin.
2
14 34
15 13
16 14
17 77
18 58
19 2
20 22

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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