Sylvie Souquère

8.5k citations
56 papers · 6.2k indexed · 3 hit papers · h-index 31

Sylvie Souquère

55 papers receiving 6.2k citations

Hit Papers

Functional Domains of NEAT1 Arch...42220052026201220194008001.2k

Peers

Sylvie Souquère
Comparison fields: 5 of 132
  • Cancer Research 1.1k
  • Physiology 291
  • Molecular Biology 4.1k
  • Epidemiology 2.0k
  • Virology 252
Replace Christopher P. Dillon with:
Christopher P. Dillon United States
Gérard Pierron France
Arnim Pause Canada
David K. Ann United States
Joshua Munger United States
Xiaolu Yang United States
Jack‐Ansgar Bruun Norway
Andrew Ziemiecki Switzerland
Robin Antrobus United Kingdom
David G. McEwan United Kingdom
Sylvie Souquère relative to Christopher P. Dillon United States Christopher P. Dillon's profile →
Citations per field
00.5×1.5×2.0×
Christopher P. Dillon · 1×
Citations per year

Countries citing papers authored by Sylvie Souquère

Since Specialization
Citations

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

Fields of papers citing papers by Sylvie Souquère

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Sylvie Souquère, 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 Sylvie Souquère Line = papers co-authored together Sylvie Souquère links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202313
3 202325
4 20212
5 2019107
6 201924
7 201915
8
Functional Domains of NEAT1 Architectural lncRNA Induce Paraspeckle Assembly through Phase Separationbreakdown →
2018422
9 201817
10 20168
11 2015108
12 201550
13 201446
14 201419
15 2010177
16 2010107
17 201014
18 20072
19 200629
20 2006389

About Sylvie Souquère

Sylvie Souquère is a scholar working on Physiology, Virology and Cancer Research, having authored 56 papers that have together received 6.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (14 papers), RNA Research and Splicing (14 papers), RNA modifications and cancer (11 papers), Cell death mechanisms and regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Virus-based gene therapy research (4 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Cancer Research (1.1k citations), Physiology (291 citations) and Molecular Biology (4.1k citations). Sylvie Souquère has collaborated with scholars based in France, Japan and Sweden. Frequent co-authors include Gérard Pierron, Patrice Codogno, Guido Kroemer, Jean‐Luc Perfettini, Nathanaël Larochette, Tamotsu Yoshimori, Noëlia Casares, Philippe Dessen, Daniel Meley and Didier Métivier. Their work appears in journals such as Science, 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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