Marie-Annick Forget

1.1k citations
14 papers · 988 · h-index 11

Impact in

    • Cellular Mechanics and Interactions
    • Cellular transport and secretion
    • Microtubule and mitosis dynamics
    • Hippo pathway signaling and YAP/TAZ
    • Cell Adhesion Molecules Research

Papers in

Marie-Annick Forget

14 papers receiving 972 citations

Peers

Marie-Annick Forget
Comparison fields: 5 of 87
  • Cell Biology 323
  • Immunology and Allergy 86
  • Cancer Research 130
  • Molecular Biology 587
  • Cellular and Molecular Neuroscience 107
Replace J. Ann Le Good with:
J. Ann Le Good Switzerland
Ute Gr�schel-Stewart Germany
Ha Kun Kim United States
Francesca Truzzi Italy
Akiko Yamagishi Japan
Eunjin Koh South Korea
Yu‐Ting Yan Taiwan
M Ménasche France
Gábor Sirokmány Hungary
Sylvie Prieur France
Marie-Annick Forget relative to J. Ann Le Good Switzerland J. Ann Le Good's profile →
Citations per field
00.5×1.6×
J. Ann Le Good · 1×
Citations per year

Countries citing papers authored by Marie-Annick Forget

Since Specialization
Citations

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

Fields of papers citing papers by Marie-Annick Forget

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie-Annick Forget. 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 Marie-Annick Forget. The network helps show where Marie-Annick Forget may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2003201
2 2002145
3 1999128
4 2002124
5 200287
6 199686
7 200874
8 200363
9 198938
10 199917
11 200011
12 199610
13 19882
14 19952

About Marie-Annick Forget

Marie-Annick Forget is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Immunology and Allergy, Molecular Biology and Cancer Research, having authored 14 papers that have together received 988 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Cell Adhesion Molecules Research (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Protease and Inhibitor Mechanisms (2 papers), Cellular Mechanics and Interactions (2 papers), Cellular transport and secretion (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cell Biology (323 citations), Immunology and Allergy (86 citations), Cancer Research (130 citations), Molecular Biology (587 citations) and Cellular and Molecular Neuroscience (107 citations). Marie-Annick Forget has collaborated with scholars based in Canada, United States and Belgium. Frequent co-authors include Richard R. Desrosiers, Richard Béliveau, Denis J. Gingras, Steen H. Hansen, Jeffrey E. Settleman, Bruno Battistini, David W Laight, Krister Wennerberg, Channing J. Der and William T. Arthur. Their work appears in journals such as Biochemical Journal, Canadian Journal of Physiology and Pharmacology, Current Biology, Clinical & Experimental Metastasis and Molecular Pharmacology.

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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