Georges Imbert

3.5k total citations · 3 hit papers
17 papers, 2.8k citations indexed

About

Georges Imbert is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Georges Imbert has authored 17 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 5 papers in Neurology. Recurrent topics in Georges Imbert's work include Genetic Neurodegenerative Diseases (7 papers), Mitochondrial Function and Pathology (6 papers) and Alzheimer's disease research and treatments (4 papers). Georges Imbert is often cited by papers focused on Genetic Neurodegenerative Diseases (7 papers), Mitochondrial Function and Pathology (6 papers) and Alzheimer's disease research and treatments (4 papers). Georges Imbert collaborates with scholars based in France, Switzerland and United States. Georges Imbert's co-authors include Jean‐Louis Mandel, Yves Agid, Frédéric Saudou, C. R. Weber, Yvon Trottier, Didier Devys, Alexis Brice, Géraldine Cancel‐Tassin, Giovanni Stévanin and Gaël Yvert and has published in prestigious journals such as Nature, Nature Genetics and Analytical Chemistry.

In The Last Decade

Georges Imbert

17 papers receiving 2.8k citations

Hit Papers

Cloning of the gene for spinocerebellar ataxia 2 reveals ... 1995 2026 2005 2015 1996 1997 1995 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Georges Imbert France 11 2.3k 2.2k 860 246 240 17 2.8k
Judit Pallos United States 13 2.2k 1.0× 1.8k 0.8× 503 0.6× 287 1.2× 284 1.2× 16 2.9k
Gabriele Schilling United States 18 2.7k 1.2× 2.6k 1.2× 1.0k 1.2× 196 0.8× 138 0.6× 25 3.3k
Ben Woodman United Kingdom 26 2.4k 1.1× 2.0k 0.9× 644 0.7× 259 1.1× 179 0.7× 29 3.0k
Jean‐Paul Vonsattel United States 18 2.2k 1.0× 2.6k 1.2× 1.6k 1.9× 578 2.3× 139 0.6× 37 3.7k
Juliette Gafni United States 19 1.9k 0.9× 1.7k 0.8× 483 0.6× 221 0.9× 71 0.3× 19 2.7k
P. Shashidharan United States 25 699 0.3× 1.3k 0.6× 1.1k 1.2× 276 1.1× 146 0.6× 34 2.1k
Montserrat Arrasate Spain 18 2.1k 0.9× 1.7k 0.8× 892 1.0× 758 3.1× 82 0.3× 24 3.1k
Chuan-En Wang United States 17 1.3k 0.6× 1.2k 0.5× 498 0.6× 200 0.8× 79 0.3× 21 1.9k
Sandro Alves France 21 1.1k 0.5× 810 0.4× 265 0.3× 328 1.3× 190 0.8× 33 1.8k
Kimberly B. Kegel United States 23 2.0k 0.9× 1.8k 0.8× 660 0.8× 262 1.1× 76 0.3× 27 2.7k

Countries citing papers authored by Georges Imbert

Since Specialization
Citations

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

Fields of papers citing papers by Georges Imbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georges Imbert

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

All Works

17 of 17 papers shown
1.
Eichler, Gabriel S., et al.. (2022). Democratizing data at Novartis through clinical trial data access. Drug Discovery Today. 27(6). 1533–1537. 1 indexed citations
2.
Barve, Avantika, Hanns-Christian Tillmann, Georges Imbert, et al.. (2016). Impact of co-administration of fevipiprant (QAW039) and SLCO1B1 genotype on the PK of simvastatin and rosuvastatin. PA1108–PA1108. 1 indexed citations
3.
Trenité, Dorothée Kasteleijn‐Nolst, Christian Brandt, Felix Rosenow, et al.. (2015). Dose‐dependent suppression of human photoparoxysmal response with the competitive AMPA/kainate receptor antagonist BGG492: Clear PK/PD relationship. Epilepsia. 56(6). 924–932. 23 indexed citations
4.
Winblad, Bengt, Niels Andreasen, Lennart Minthon, et al.. (2012). Safety, tolerability, and antibody response of active Aβ immunotherapy with CAD106 in patients with Alzheimer's disease: randomised, double-blind, placebo-controlled, first-in-human study. The Lancet Neurology. 11(7). 597–604. 234 indexed citations
5.
Winblad, Bengt, Martin R. Farlow, Kaj Blennow, et al.. (2011). P2‐083: Aβ‐specific antibodies induced by active immunotherapy CAD106 engage Aβ in plasma in AD patients. Alzheimer s & Dementia. 7(4S_Part_10). 3 indexed citations
6.
Graf, Ana, Niels Andreasen, Marie‐Emmanuelle Riviere, et al.. (2010). P3‐275: Optimization of the treatment regimen with active Aß immunotherapy CAD106 in alzheimer patients. Alzheimer s & Dementia. 6(4S_Part_17). 2 indexed citations
7.
Imbert, Georges, et al.. (2009). P3‐285: Antibody immune response in cynomolgus monkeys following treatment with the active Aß immunotherapy CAD106. Alzheimer s & Dementia. 5(4S_Part_14). 2 indexed citations
8.
Boernsen, K. Olaf, et al.. (2005). Controlled Protein Precipitation in Combination with Chip-Based Nanospray Infusion Mass Spectrometry. An Approach for Metabolomics Profiling of Plasma. Analytical Chemistry. 77(22). 7255–7264. 75 indexed citations
10.
David, Gilles, Nacer Abbas, Giovanni Stévanin, et al.. (1997). Cloning of the SCA7 gene reveals a highly unstable CAG repeat expansion. Nature Genetics. 17(1). 65–70. 599 indexed citations breakdown →
11.
Gourfinkel‐An, Isabelle, Géraldine Cancel‐Tassin, Yvon Trottier, et al.. (1997). Differential distribution of the normal and mutated forms of huntingtin in the human brain. Annals of Neurology. 42(5). 712–719. 32 indexed citations
12.
Imbert, Georges, Frédéric Saudou, Gaël Yvert, et al.. (1996). Cloning of the gene for spinocerebellar ataxia 2 reveals a locus with high sensitivity to expanded CAG/glutamine repeats. Nature Genetics. 14(3). 285–291. 706 indexed citations breakdown →
13.
Trottier, Yvon, Yves Lutz, Giovanni Stévanin, et al.. (1995). Polyglutamine expansion as a pathological epitope in Huntington's disease and four dominant cerebellar ataxias. Nature. 378(6555). 403–406. 540 indexed citations breakdown →
14.
Trottier, Yvon, Didier Devys, Georges Imbert, et al.. (1995). Cellular localization of the Huntington's disease protein and discrimination of the normal and mutated form. Nature Genetics. 10(1). 104–110. 348 indexed citations
15.
Imbert, Georges & Jean‐Louis Mandel. (1995). The fragile X mutation. Mental Retardation and Developmental Disabilities Research Reviews. 1(4). 251–262. 7 indexed citations
16.
Trottier, Yvon, Georges Imbert, Annemarie Poustka, Jean‐Pierre Fryns, & Jean‐Louis Mandel. (1994). Male with typical fragile X phenotype is deleted for part of the FMR1 gene and for about 100 kb of upstream region. American Journal of Medical Genetics. 51(4). 454–457. 38 indexed citations
17.
Imbert, Georges, Christine Kretz, Keith Johnson, & Jean‐Louis Mandel. (1993). Origin of the expansion mutation in myotonic dystrophy. Nature Genetics. 4(1). 72–76. 168 indexed citations

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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