Sylvie Marc

474 citations
9 papers · 423 indexed · h-index 7

Impact in

Papers in

Sylvie Marc

8 papers receiving 412 citations

Peers

Sylvie Marc
Comparison fields: 5 of 65
  • Endocrine and Autonomic Systems 50
  • Social Psychology 111
  • Cellular and Molecular Neuroscience 89
  • Physiology 123
  • Biochemistry 20
Replace Martha F. Gimeno with:
Martha F. Gimeno Argentina
S. Arnaudeau France
DELORIS C. ROGERS United States
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E. Stürmer Germany
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Sylvie Marc relative to Martha F. Gimeno Argentina Martha F. Gimeno's profile →
Citations per field
00.5×1.5×1.9×
Martha F. Gimeno · 1×
Citations per year

Countries citing papers authored by Sylvie Marc

Since Specialization
Citations

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

Fields of papers citing papers by Sylvie Marc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Sylvie Marc, 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 Marc Line = papers co-authored together Sylvie Marc links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
プロタンパク質転換酵素サブチリシンKexin9型(PCSK9)に対する完全ヒトモノクローナル抗体AMG145は,ハイリスク患者におけるNCEP低密度リポタンパク質-コレステロール目標値の達成を促進する
20121
2 20040
3 199823
4 199629
5 199321
6 1992104
7 199030
8
Fluoroaluminates mimic muscarinic- and oxytocin-receptor-mediated generation of inositol phosphates and contraction in the intact guinea-pig myometrium. Role for a pertussis/cholera-toxin-insensitive G protein.
198871
9 1986144

About Sylvie Marc

Sylvie Marc is a scholar working on Cellular and Molecular Neuroscience, Biochemistry, Cultural Studies, Social Psychology and Physiology, having authored 9 papers that have together received 423 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Nitric Oxide and Endothelin Effects (2 papers), Neuroendocrine regulation and behavior (2 papers), Neuropeptides and Animal Physiology (2 papers), Signaling Pathways in Disease (1 paper), Electrolyte and hormonal disorders (1 paper), Inflammatory mediators and NSAID effects (1 paper) and Neurotransmitter Receptor Influence on Behavior (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (50 citations), Social Psychology (111 citations), Cellular and Molecular Neuroscience (89 citations), Physiology (123 citations) and Biochemistry (20 citations). Sylvie Marc has collaborated with scholars based in France and United States. Frequent co-authors include Simone Harbon, Denis Leiber, Olivier Goureau, Zahra Tanfin, Franck Amiot, Dominique Manéchez, Béatrice Guardiola‐Lemaître, Bruno Pfeiffer, Luc Pénicaud and Pierre Renard. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, American Journal of Physiology-Cell Physiology, British Journal of Pharmacology, Circulation and FEBS Letters.

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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