Yvan Varisco

644 total citations
7 papers, 230 citations indexed

About

Yvan Varisco is a scholar working on Physiology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yvan Varisco has authored 7 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 4 papers in Pharmacology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yvan Varisco's work include Alzheimer's disease research and treatments (7 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Computational Drug Discovery Methods (3 papers). Yvan Varisco is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Computational Drug Discovery Methods (3 papers). Yvan Varisco collaborates with scholars based in Switzerland, Germany and China. Yvan Varisco's co-authors include Andrea Pfeifer, Heiko Kroth, Andreas Muhs, David T. Hickman, Francesca Capotosti, Hanno Schieferstein, André Mueller, Emanuele Gabellieri, Andrew Stephens and Gilles Tamagnan and has published in prestigious journals such as Journal of Biological Chemistry, European Journal of Medicinal Chemistry and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Yvan Varisco

7 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yvan Varisco Switzerland	6	161	53	52	45	44	7	230
Mikhalina Cortés Australia	4	290 1.8×	88 1.7×	43 0.8×	47 1.0×	31 0.7×	5	434
Jérôme Molette Switzerland	8	139 0.9×	61 1.2×	23 0.4×	26 0.6×	52 1.2×	15	279
Natalie Beschörner Denmark	8	159 1.0×	114 2.2×	27 0.5×	33 0.7×	36 0.8×	10	269
Dawn Matthews United States	7	96 0.6×	68 1.3×	45 0.9×	22 0.5×	47 1.1×	11	260
Kaleigh F. Roberts United States	7	214 1.3×	85 1.6×	32 0.6×	23 0.5×	13 0.3×	16	340
Daniel K. Cashion United States	4	115 0.7×	97 1.8×	26 0.5×	22 0.5×	32 0.7×	6	353
Stephen Schauer United States	6	185 1.1×	92 1.7×	50 1.0×	41 0.9×	15 0.3×	7	261
Wan Chi Lau United States	4	255 1.6×	56 1.1×	150 2.9×	73 1.6×	61 1.4×	6	452
Paul T. Manser United States	9	186 1.2×	45 0.8×	31 0.6×	22 0.5×	38 0.9×	22	262
Maria S. Michener United States	8	131 0.8×	82 1.5×	46 0.9×	41 0.9×	6 0.1×	11	237

Countries citing papers authored by Yvan Varisco

Since Specialization

Citations

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

Fields of papers citing papers by Yvan Varisco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yvan Varisco

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

All Works

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7 of 7 papers shown

Varisco, Yvan, Francesca Capotosti, Paola Bezzi, et al.. (2025). Extracellular PHF-tau modulates astrocyte mitochondrial dynamics and mediates neuronal connectivity. PubMed. 14(1). 13–13. 3 indexed citations

Gabellieri, Emanuele, Francesca Capotosti, Jérôme Molette, et al.. (2020). Discovery of 2-(4-(2-fluoroethoxy)piperidin-1-yl)-9-methyl-9H-pyrrolo[2,3-b:4,5-c’]dipyridine ([18F]PI-2014) as PET tracer for the detection of pathological aggregated tau in Alzheimer’s disease and other tauopathies. European Journal of Medicinal Chemistry. 204. 112615–112615. 6 indexed citations

Kroth, Heiko, Felix Oden, Jérôme Molette, et al.. (2019). Discovery and preclinical characterization of [18F]PI-2620, a next-generation tau PET tracer for the assessment of tau pathology in Alzheimer’s disease and other tauopathies. European Journal of Nuclear Medicine and Molecular Imaging. 46(10). 2178–2189. 134 indexed citations

Sreenivasachary, Nampally, Heiko Kroth, Yvan Varisco, et al.. (2017). Discovery and characterization of novel indole and 7-azaindole derivatives as inhibitors of β-amyloid-42 aggregation for the treatment of Alzheimer’s disease. Bioorganic & Medicinal Chemistry Letters. 27(6). 1405–1411. 22 indexed citations

Kroth, Heiko, Nampally Sreenivasachary, Yvan Varisco, et al.. (2016). Synthesis and structure–activity relationship of 2,6-disubstituted pyridine derivatives as inhibitors of β-amyloid-42 aggregation. Bioorganic & Medicinal Chemistry Letters. 26(14). 3330–3335. 12 indexed citations

Kroth, Heiko, Annalisa Ansaloni, Yvan Varisco, et al.. (2012). Discovery and Structure Activity Relationship of Small Molecule Inhibitors of Toxic β-Amyloid-42 Fibril Formation. Journal of Biological Chemistry. 287(41). 34786–34800. 46 indexed citations

Watts, Ryan J., Mark Chen, Jasvinder K. Atwal, et al.. (2009). P3‐283: Selection of an anti‐Abeta antibody that binds various forms of Abeta and blocks toxicity both in vitro and in vivo. Alzheimer s & Dementia. 5(4S_Part_14). 7 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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