Magali Picon

650 total citations
7 papers, 403 citations indexed

About

Magali Picon is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Magali Picon has authored 7 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 4 papers in Hepatology and 1 paper in Molecular Biology. Recurrent topics in Magali Picon's work include Hepatitis C virus research (4 papers), Hepatitis B Virus Studies (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). Magali Picon is often cited by papers focused on Hepatitis C virus research (4 papers), Hepatitis B Virus Studies (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). Magali Picon collaborates with scholars based in France, Poland and Belgium. Magali Picon's co-authors include James M. Roberts, Yan Geng, Ante S. Lundberg, Claude Sardet, Ann Gifford, Elinor Ng Eaton, R A Weinberg, Stanislas Pol, Christophe Renou and Jean Charles Piette and has published in prestigious journals such as The Journal of Infectious Diseases, Journal of Hepatology and The Journals of Gerontology Series A.

In The Last Decade

Magali Picon

7 papers receiving 396 citations

Peers

Magali Picon
Comparison fields: 5 of 52
  • Molecular Biology 268
  • Oncology 236
  • Cell Biology 75
  • Epidemiology 66
  • Hepatology 53
Replace Ying Chi Ip with:
Ying Chi Ip Hong Kong
Lisa van Voorthuijsen Netherlands
Emmanuelle Gilbert France
Keika Zen Japan
Cheryl A. Pickett United States
Zakiya Kelley United States
Sok Meng Evelyn Ng United States
Megumi Miyamoto Japan
Tatiana N. Moiseeva United States
Jianting Mao China
Ying Chi Ip Hong Kong View profile →
Citations per field, relative to Magali Picon
Magali Picon · 1×
Citations per year, relative to Magali Picon
Magali Picon · 1×

Countries citing papers authored by Magali Picon

Since Specialization
Citations

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

Fields of papers citing papers by Magali Picon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magali Picon

This figure shows the co-authorship network connecting the top 25 collaborators of Magali Picon. A scholar is included among the top collaborators of Magali Picon 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 Magali Picon. Magali Picon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1 4
2 39
3 10
4 2
5 17
6
Regulation of cyclin E transcription by E2Fs and retinoblastoma protein.
330
7
[Pentamidine-related acute hepatitis during pneumocystosis treatment in acquired immunodeficiency syndrome].
1

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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