Marcella Catania

1.8k citations
31 papers · 730 · h-index 14

Impact in

  • Neurology top 5%
    • Neurological diseases and metabolism
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Physiology top 5%
    • Alzheimer's disease research and treatments

Papers in

Marcella Catania

31 papers receiving 717 citations

Peers

Marcella Catania
Comparison fields: 5 of 87
  • Neurology 167
  • Physiology 416
  • Aging 15
  • Biological Psychiatry 21
  • Molecular Biology 418
Replace Benjamin Combs with:
Benjamin Combs United States
Nicha Puangmalai United States
Erin E. Coffey United States
Jaime Vaquer‐Alicea United States
Seyedeh Maryam Alavi Naini France
Joseph McInnes Germany
Firoz Roshan Kurudenkandy Sweden
Qiuyang Zheng China
Marc D. Tambini United States
Sue‐Ann Mok Canada
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Citations per field
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Citations per year

Countries citing papers authored by Marcella Catania

Since Specialization
Citations

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

Fields of papers citing papers by Marcella Catania

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014135
2 200877
3 201058
4 201858
5 201857
6 202242
7 201233
8 201330
9 201228
10 201627
11 202126
12 201918
13 202216
14 201814
15 202113
16 201212
17 202111
18 201611
19 201510
20 20239

About Marcella Catania

Marcella Catania is a scholar working on Physiology, Molecular Biology, Neurology, Psychiatry and Mental health and Pharmacology, having authored 31 papers that have together received 730 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (24 papers), Dementia and Cognitive Impairment Research (8 papers), Cholinesterase and Neurodegenerative Diseases (7 papers), Prion Diseases and Protein Misfolding (7 papers), Computational Drug Discovery Methods (5 papers), Neurological diseases and metabolism (5 papers), Trace Elements in Health (3 papers) and Neurological Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Neurology (167 citations), Physiology (416 citations), Aging (15 citations), Biological Psychiatry (21 citations) and Molecular Biology (418 citations). Marcella Catania has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Fabrizio Tagliavini, Giuseppe Di Fede, Giorgio Giaccone, Fabio Moda, Emanuela Maderna, Roberta Ghidoni, Luisa Benussi, Mario Salmona, James W. Ironside and Kyung-Won Park. Their work appears in journals such as Journal of Alzheimer s Disease, International Journal of Molecular Sciences, Scientific Reports, Acta Neuropathologica Communications and Acta Neuropathologica.

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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