Alix de Calignon

4.2k total citations · 2 hit papers
16 papers, 3.3k citations indexed

About

Alix de Calignon is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Alix de Calignon has authored 16 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 10 papers in Cellular and Molecular Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Alix de Calignon's work include Alzheimer's disease research and treatments (14 papers), Neuroscience and Neuropharmacology Research (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Alix de Calignon is often cited by papers focused on Alzheimer's disease research and treatments (14 papers), Neuroscience and Neuropharmacology Research (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Alix de Calignon collaborates with scholars based in United States, United Kingdom and Spain. Alix de Calignon's co-authors include Bradley T. Hyman, Tara L. Spires‐Jones, Rose Pitstick, George A. Carlson, Brian J. Bacskai, Karen H. Ashe, Manuela Polydoro, Melanie Meyer‐Luehmann, Marc Suárez‐Calvet and Christopher William and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Alix de Calignon

16 papers receiving 3.2k citations

Hit Papers

Propagation of Tau Pathology in a Model of Early Alzheime... 2008 2026 2014 2020 2012 2008 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alix de Calignon United States 14 2.3k 1.2k 1.1k 951 447 16 3.3k
Diederik Moechars Belgium 28 1.9k 0.8× 1.3k 1.1× 1.1k 1.0× 930 1.0× 354 0.8× 53 3.8k
Tiffany Wu United States 13 2.1k 0.9× 840 0.7× 1.2k 1.1× 758 0.8× 579 1.3× 18 2.9k
Elena Marcello Italy 32 1.5k 0.7× 1.3k 1.0× 1.1k 1.0× 722 0.8× 431 1.0× 72 3.4k
Sarah L. DeVos United States 22 2.6k 1.1× 1.6k 1.4× 1.1k 1.0× 1.1k 1.2× 382 0.9× 24 3.9k
Amy M. Pooler United Kingdom 25 1.7k 0.7× 860 0.7× 861 0.8× 698 0.7× 328 0.7× 31 2.5k
Nga Bien‐Ly United States 22 2.6k 1.1× 1.5k 1.2× 1.7k 1.5× 1.0k 1.1× 576 1.3× 26 4.5k
Wayne W. Poon United States 34 2.5k 1.1× 2.2k 1.8× 1.3k 1.2× 1.1k 1.1× 546 1.2× 52 4.7k
Per Nilsson Sweden 29 2.1k 0.9× 1.6k 1.3× 701 0.6× 796 0.8× 436 1.0× 78 3.7k
Sreemathi Logan United States 19 2.4k 1.1× 1.3k 1.1× 885 0.8× 1.0k 1.1× 502 1.1× 34 3.8k
Florence Clavaguera Switzerland 17 2.9k 1.3× 1.6k 1.4× 1.0k 0.9× 1.3k 1.4× 430 1.0× 21 3.8k

Countries citing papers authored by Alix de Calignon

Since Specialization
Citations

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

Fields of papers citing papers by Alix de Calignon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alix de Calignon. 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 Alix de Calignon. The network helps show where Alix de Calignon may publish in the future.

Co-authorship network of co-authors of Alix de Calignon

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

All Works

16 of 16 papers shown
1.
Lin, Andrew C., Alexei M. Bygrave, Alix de Calignon, Tzumin Lee, & Gero Miesenböck. (2014). Sparse, decorrelated odor coding in the mushroom body enhances learned odor discrimination. Nature Neuroscience. 17(4). 559–568. 193 indexed citations
2.
Polydoro, Manuela, Alix de Calignon, Marc Suárez‐Calvet, et al.. (2013). Reversal of Neurofibrillary Tangles and Tau-Associated Phenotype in the rTgTauEC Model of Early Alzheimer's Disease. Journal of Neuroscience. 33(33). 13300–13311. 37 indexed citations
3.
Calignon, Alix de, Manuela Polydoro, Marc Suárez‐Calvet, et al.. (2012). Propagation of Tau Pathology in a Model of Early Alzheimer's Disease. Neuron. 73(4). 685–697. 1062 indexed citations breakdown →
4.
Calignon, Alix de, Manuela Polydoro, Marc Suárez‐Calvet, et al.. (2012). Propagation of Tau Pathology in a Model of Early Alzheimer’s Disease. Neuron. 76(2). 461–461. 23 indexed citations
5.
Spires‐Jones, Tara L., Katherine J. Kopeikina, Robert M. Koffie, Alix de Calignon, & Bradley T. Hyman. (2011). Are Tangles as Toxic as They Look?. Journal of Molecular Neuroscience. 45(3). 438–444. 91 indexed citations
6.
Meyer‐Luehmann, Melanie, J. Rodrigo Mora, Tara L. Spires‐Jones, et al.. (2011). T cell mediated cerebral hemorrhages and microhemorrhages during passive Aβ immunization in APPPS1 transgenic mice. Molecular Neurodegeneration. 6(1). 22–22. 13 indexed citations
7.
Calignon, Alix de, Leora M. Fox, Rose Pitstick, et al.. (2010). Caspase activation precedes and leads to tangles. Nature. 464(7292). 1201–1204. 413 indexed citations
8.
Spires‐Jones, Tara L., Alix de Calignon, Melanie Meyer‐Luehmann, Brian J. Bacskai, & Bradley T. Hyman. (2010). Monitoring protein aggregation and toxicity in Alzheimer’s disease mouse models using in vivo imaging. Methods. 53(3). 201–207. 19 indexed citations
9.
Calignon, Alix de, Tara L. Spires‐Jones, & Bradley T. Hyman. (2010). Activation de caspases et formation de dégénérescences neurofibrillaires dans un modèle murin de la maladie d’Alzheimer. médecine/sciences. 26(10). 787–816. 3 indexed citations
10.
Spires‐Jones, Tara L., William H. Stoothoff, Alix de Calignon, P. Jones, & Bradley T. Hyman. (2009). Tau pathophysiology in neurodegeneration: a tangled issue. Trends in Neurosciences. 32(3). 150–159. 258 indexed citations
11.
Calignon, Alix de, Tara L. Spires‐Jones, Rose Pitstick, George A. Carlson, & Bradley T. Hyman. (2009). Tangle-Bearing Neurons Survive Despite Disruption of Membrane Integrity in a Mouse Model of Tauopathy. Journal of Neuropathology & Experimental Neurology. 68(7). 757–761. 63 indexed citations
12.
Spires‐Jones, Tara L., Anete Rozkalne, Melanie Meyer‐Luehmann, et al.. (2008). Passive immunotherapy rapidly increases structural plasticity in a mouse model of Alzheimer disease. Neurobiology of Disease. 33(2). 213–220. 53 indexed citations
13.
Spires‐Jones, Tara L., Alix de Calignon, Toshifumi Matsui, et al.. (2008). In Vivo Imaging Reveals Dissociation between Caspase Activation and Acute Neuronal Death in Tangle-Bearing Neurons. Journal of Neuroscience. 28(4). 862–867. 112 indexed citations
14.
Meyer‐Luehmann, Melanie, Tara L. Spires‐Jones, Claudia Prada, et al.. (2008). Rapid appearance and local toxicity of amyloid-β plaques in a mouse model of Alzheimer’s disease. Nature. 451(7179). 720–724. 814 indexed citations breakdown →
15.
Gómez‐Isla, Teresa, Tara L. Spires‐Jones, Alix de Calignon, & Bradley T. Hyman. (2008). Neuropathology of Alzheimer's Disease. Handbook of clinical neurology. 89. 233–243. 37 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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