Franck Picard

4.8k citations
79 papers · 2.6k · h-index 24

Impact in

Papers in

    • Gene expression and cancer classification 11
    • Sphingolipid Metabolism and Signaling 5
    • Single-cell and spatial transcriptomics 5
    • Gene Regulatory Network Analysis 5
    • Genomic variations and chromosomal abnormalities 8

Franck Picard

76 papers receiving 2.5k citations

Peers

Franck Picard
Comparison fields: 5 of 158
  • Endocrine and Autonomic Systems 455
  • Transplantation 91
  • Nutrition and Dietetics 391
  • Statistical and Nonlinear Physics 221
  • Statistics and Probability 135
Replace Christina Kendziorski with:
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Citations per field
00.5×10×15×22.1×
Christina Kendziorski · 1×
Citations per year

Countries citing papers authored by Franck Picard

Since Specialization
Citations

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

Fields of papers citing papers by Franck Picard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Franck Picard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Franck Picard Line = papers co-authored together Franck Picard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005249
2 2007238
3 2006179
4 2004173
5 2004173
6 2014105
7 201592
8 201182
9 201573
10 200572
11 200569
12 201658
13 201352
14 200847
15 200544
16 201643
17 198943
18 201042
19 200741
20 200539

About Franck Picard

Franck Picard is a scholar working on Molecular Biology, Genetics, Immunology, Plant Science and Oncology, having authored 79 papers that have together received 2.6k indexed citations. Recurring topics across this work include Gene expression and cancer classification (11 papers), Genomic variations and chromosomal abnormalities (8 papers), Chromosomal and Genetic Variations (8 papers), Biosimilars and Bioanalytical Methods (6 papers), Pesticide Residue Analysis and Safety (6 papers), Sphingolipid Metabolism and Signaling (5 papers), Single-cell and spatial transcriptomics (5 papers) and Gene Regulatory Network Analysis (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (455 citations), Transplantation (91 citations), Nutrition and Dietetics (391 citations), Statistical and Nonlinear Physics (221 citations) and Statistics and Probability (135 citations). Franck Picard has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Jean‐Jacques Daudin, Christian Vaisse, Stéphane Robin, Stéphane Robin, Cécile Lubrano-Berthelier, Marc Lavielle, Bruce R. Conklin, Pamela Santiago, Cédric Govaerts and Olivier Kretz. Their work appears in journals such as Bioanalysis, Journal of Pharmaceutical and Biomedical Analysis, Analytical and Bioanalytical Chemistry, Bioinformatics and Journal of Chromatography B.

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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