Anne Picard

4.7k citations
32 papers · 3.6k indexed · 1 hit paper · h-index 15
Topics
Muscle Physiology and Disorders (7 papers)Parkinson's Disease Mechanisms and Treatments (5 papers)MicroRNA in disease regulation (4 papers)
Partner nations
ItalyGermanySwitzerland

In The Last Decade

Anne Picard

32 papers receiving 3.5k citations

Hit Papers

Foxo Transcription Factors Induce the Atrophy-Related Ubi...2004202620112018200450010001.5k2.0k

Peers

Anne Picard
Comparison fields: 5 of 109
  • Molecular Biology 2.9k
  • Physiology 1.1k
  • Cell Biology 630
  • Rehabilitation 447
  • Cellular and Molecular Neuroscience 415
Replace Marcelo D. Gomes with:
Marcelo D. Gomes Brazil
Erqian Na United States
Jeffrey J. Brault United States
Giulia Milan Italy
Venus Lai United States
Eva Masiero Italy
William O. Kline United States
Leslie M. Baehr United States
Lionel Tintignac Switzerland
Claudia Sandri Italy
Anne Picard relative to Marcelo D. Gomes Brazil Marcelo D. Gomes's profile →
Citations per field
00.5×1.5×
Marcelo D. Gomes · 1×
Citations per year

Countries citing papers authored by Anne Picard

Since Specialization
Citations

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

Fields of papers citing papers by Anne Picard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Picard

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Picard. A scholar is included among the top collaborators of Anne Picard 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 Picard. Anne Picard 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
#WorkIndexed citations
1 3
2 1
3 4
4 4
5 14
6 11
7 12
8 42
9 7
10 35
11 385
12 13
13 9
14 18
15 7
16 9
17 7
18
Foxo Transcription Factors Induce the Atrophy-Related Ubiquitin Ligase Atrogin-1 and Cause Skeletal Muscle Atrophybreakdown →
2354
19 50
20 1

About Anne Picard

Anne Picard is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cancer Research, having authored 32 papers that have together received 3.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (7 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Aging (133 citations), Rehabilitation (447 citations) and Physiology (1.1k citations). Anne Picard has collaborated with scholars based in Italy, Germany and Switzerland. Frequent co-authors include Stefano Schiaffino, Elisa Calabria, Claudia Sandri, Stewart H. Lecker, Kenneth Walsh, Alfred L. Goldberg, Carsten Skurk, Marco Sandri, Davide Sabbadin and Stefano Moro. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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