Magali Siaut

3.0k citations
5 papers · 1.0k indexed · 1 hit paper · h-index 5

Magali Siaut

5 papers receiving 1.0k citations

Hit Papers

Oil accumulation in the model green alga Chlamydomonas re...20112026201620212011100200300400500

Peers

Magali Siaut
Comparison fields: 5 of 72
  • Molecular Biology 674
  • Renewable Energy, Sustainability and the Environment 663
  • Oceanography 145
  • Ecology 134
  • Biomedical Engineering 122
Replace Ying‐Fang Niu with:
Ying‐Fang Niu China
Taylor L. Weiss United States
Sarah R. Smith United States
Qintao Wang China
John P. Davies United States
Sunjoo Joo United States
Anja Doebbe Germany
Joseph Msanne United States
Guido Breuer Netherlands
Steven J. Karpowicz United States
Magali Siaut relative to Ying‐Fang Niu China Ying‐Fang Niu's profile →
Citations per field
00.5×1.5×1.9×
Ying‐Fang Niu · 1×
Citations per year

Countries citing papers authored by Magali Siaut

Since Specialization
Citations

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

Fields of papers citing papers by Magali Siaut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magali Siaut

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1
Oil accumulation in the model green alga Chlamydomonas reinhardtii: characterization, variability between common laboratory strains and relationship with starch reservesbreakdown →
598
2 270
3 41
4 45
5 67

About Magali Siaut

Magali Siaut is a scholar working on Biochemistry, Biomaterials and Molecular Biology, having authored 5 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (663 citations), Biochemistry (116 citations) and Oceanography (145 citations). Magali Siaut has collaborated with scholars based in France and Italy. Frequent co-authors include Fred Beisson, Christian Triantaphylidès, Yonghua Li‐Beisson, Gilles Peltier, Hoa Mai Nguyen, Stéphan Cuiné, Audrey Beyly, Patrick Carrier, Andrew E. Allen and Angela Falciatore. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Gene.

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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