Anne-Lise Jaton

1.4k total citations
9 papers, 515 citations indexed

About

Anne-Lise Jaton is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Anne-Lise Jaton has authored 9 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in Anne-Lise Jaton's work include Alzheimer's disease research and treatments (3 papers), Chemical Synthesis and Analysis (2 papers) and Computational Drug Discovery Methods (2 papers). Anne-Lise Jaton is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Chemical Synthesis and Analysis (2 papers) and Computational Drug Discovery Methods (2 papers). Anne-Lise Jaton collaborates with scholars based in Switzerland and Italy. Anne-Lise Jaton's co-authors include Ulf Neumann, Matthias Staufenbiel, Karl‐Heinz Wiederhold, Markus Stoeckli, Albert Enz, Markus Rudin, Martin Hintersteiner, Pascal Frey, Rainer Kneuer and Hans‐Ulrich Gremlich and has published in prestigious journals such as Nature Biotechnology, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Anne-Lise Jaton

9 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne-Lise Jaton Switzerland 8 264 171 122 102 100 9 515
Hualong Fu China 15 368 1.4× 199 1.2× 158 1.3× 109 1.1× 114 1.1× 35 733
Ann‐Christin Brorsson Sweden 14 448 1.7× 393 2.3× 129 1.1× 103 1.0× 76 0.8× 27 697
Erika N. Cline United States 12 633 2.4× 372 2.2× 191 1.6× 136 1.3× 136 1.4× 20 924
Maria A. Telpoukhovskaia United States 14 375 1.4× 176 1.0× 183 1.5× 149 1.5× 50 0.5× 21 867
Ryan Limbocker United States 13 368 1.4× 390 2.3× 82 0.7× 109 1.1× 71 0.7× 26 724
Monica M. Pallitto United States 5 557 2.1× 528 3.1× 84 0.7× 124 1.2× 47 0.5× 5 780
Megan E. McLellan United States 6 969 3.7× 359 2.1× 206 1.7× 217 2.1× 239 2.4× 6 1.2k
Youssra K. Al‐Hilaly United Kingdom 15 581 2.2× 479 2.8× 99 0.8× 72 0.7× 147 1.5× 29 892
Isam Qahwash United States 8 458 1.7× 376 2.2× 82 0.7× 94 0.9× 81 0.8× 10 655
See‐Lok Ho Hong Kong 14 253 1.0× 319 1.9× 93 0.8× 53 0.5× 43 0.4× 15 635

Countries citing papers authored by Anne-Lise Jaton

Since Specialization
Citations

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

Fields of papers citing papers by Anne-Lise Jaton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne-Lise Jaton. 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 Anne-Lise Jaton. The network helps show where Anne-Lise Jaton may publish in the future.

Co-authorship network of co-authors of Anne-Lise Jaton

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

All Works

9 of 9 papers shown
1.
Machauer, Rainer, Kurt Laumen, Siem J. Veenstra, et al.. (2009). Macrocyclic peptidomimetic β-secretase (BACE-1) inhibitors with activity in vivo. Bioorganic & Medicinal Chemistry Letters. 19(5). 1366–1370. 44 indexed citations
2.
Lerchner, Andreas, Rainer Machauer, Claudia Betschart, et al.. (2009). Macrocyclic BACE-1 inhibitors acutely reduce Aβ in brain after po application. Bioorganic & Medicinal Chemistry Letters. 20(2). 603–607. 41 indexed citations
3.
Abramowski, Dorothée, Karl‐Heinz Wiederhold, Anne-Lise Jaton, et al.. (2008). Dynamics of Aβ Turnover and Deposition in Different β-Amyloid Precursor Protein Transgenic Mouse Models Following γ-Secretase Inhibition. Journal of Pharmacology and Experimental Therapeutics. 327(2). 411–424. 77 indexed citations
4.
Hintersteiner, Martin, Albert Enz, Pascal Frey, et al.. (2005). In vivo detection of amyloid-β deposits by near-infrared imaging using an oxazine-derivative probe. Nature Biotechnology. 23(5). 577–583. 284 indexed citations
5.
Amenta, Francesco, Anne-Lise Jaton, & Alberto Rícci. (1990). Effect of long term hydergine treatment on the age-dependent loss of mossy fibers and of granule cells in the rat hippocampus. Archives of Gerontology and Geriatrics. 10(3). 287–296. 14 indexed citations
6.
Karlsson, Göril, Anne-Lise Jaton, & J. M. Vigouret. (1988). Dopamine D1- and D2-receptor interaction in turning behaviour induced by dopamine agonists in 6-hydroxydopamine-lesioned rats. Neuroscience Letters. 88(1). 69–74. 13 indexed citations
7.
Seiler, Max P., et al.. (1986). Structure-activity relationships of dopaminergic 5-hydroxy-2-aminotetralin derivatives with functionalized N-alkyl substituents. Journal of Medicinal Chemistry. 29(6). 912–917. 28 indexed citations
8.
9.
Stadler, P. A., et al.. (1978). Ergot alkaloids. 87. New ergolines as selective dopaminergic stimulants. Journal of Medicinal Chemistry. 21(8). 754–757. 9 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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