Anna Tasegian

627 citations
10 papers · 481 · h-index 9

Impact in

  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Neurological diseases and metabolism
  • Physiology top 10%
    • Lysosomal Storage Disorders Research
    • Alzheimer's disease research and treatments

Papers in

    • Lysosomal Storage Disorders Research 5
    • Parkinson's Disease Mechanisms and Treatments 4
    • Neurological diseases and metabolism 1

Anna Tasegian

10 papers receiving 477 citations

Peers

Anna Tasegian
Comparison fields: 5 of 63
  • Neurology 303
  • Physiology 305
  • Cell Biology 158
  • Neurology 60
  • Cellular and Molecular Neuroscience 53
Replace Florence Cormier‐Dequaire with:
Florence Cormier‐Dequaire France
William Camu France
Mariusz Berdyński Poland
Chew L. Lau Australia
Konstantin Senkevich Russia
Alicia Lwin United States
Jazmin Florio United States
Mar O’Callaghan Spain
Theo Hatzipetros United States
Emily Feneberg Germany
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Citations per field
00.5×1.5×1.8×
Florence Cormier‐Dequaire · 1×
Citations per year

Countries citing papers authored by Anna Tasegian

Since Specialization
Citations

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

Fields of papers citing papers by Anna Tasegian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2017128
2 2015123
3 2018108
4 201626
5 201920
6 201718
7 201718
8 201617
9 201415
10 20178

About Anna Tasegian

Anna Tasegian is a scholar working on Physiology, Neurology, Molecular Biology, Organic Chemistry and Clinical Psychology, having authored 10 papers that have together received 481 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Obsessive-Compulsive Spectrum Disorders (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Eating Disorders and Behaviors (2 papers), Cellular transport and secretion (2 papers), Neurological diseases and metabolism (1 paper) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Neurology (303 citations), Physiology (305 citations), Cell Biology (158 citations), Neurology (60 citations) and Cellular and Molecular Neuroscience (53 citations). Anna Tasegian has collaborated with scholars based in Italy, Netherlands and Germany. Frequent co-authors include Tommaso Beccari, Silvia Paciotti, Lucilla Parnetti, Paolo Eusebi, Davide Chiasserini, Paolo Calabresi, Emanuele Persichetti, Nicola Tambasco, Stefania Zampieri and Bruno Bembi. Their work appears in journals such as Expert Review of Molecular Diagnostics, The International Journal of Biochemistry & Cell Biology, Lipids in Health and Disease, Journal of Biological Chemistry and Molecular Neurodegeneration.

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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