Daniela Fenili

442 citations
9 papers · 333 · h-index 7

Impact in

  • Physiology top 10%
    • Alzheimer's disease research and treatments
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Daniela Fenili

8 papers receiving 316 citations

Peers

Daniela Fenili
Comparison fields: 5 of 66
  • Physiology 207
  • Neurology 45
  • Biological Psychiatry 12
  • Pharmacology 64
  • Computational Theory and Mathematics 53
Replace Arturo R. Viscomi with:
Arturo R. Viscomi Italy
R. Mena Mexico
Chinzorig Radnaabazar South Korea
Panchanan Maiti United States
Drew R. DeBay Canada
M. Mahafuzur Rahman Sweden
Marie Bourdon France
Alex L. Lublin United States
Andrew J. Payne United States
Claudia Fabiola Méndez-Catalá Mexico
Daniela Fenili relative to Arturo R. Viscomi Italy Arturo R. Viscomi's profile →
Citations per field
00.5×1.5×
Arturo R. Viscomi · 1×
Citations per year

Countries citing papers authored by Daniela Fenili

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Fenili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Daniela Fenili, 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 Daniela Fenili Line = papers co-authored together Daniela Fenili links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2004122
2 2007111
3 200840
4 201129
5 201215
6 20057
7 20036
8 19912
9 19801

About Daniela Fenili

Daniela Fenili is a scholar working on Physiology, Molecular Biology, Nephrology, Surgery and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 333 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Metabolism and Genetic Disorders (1 paper), Computational Drug Discovery Methods (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Lipid Membrane Structure and Behavior (1 paper), Bipolar Disorder and Treatment (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Parathyroid Disorders and Treatments (1 paper). The work is most often cited by research in Physiology (207 citations), Neurology (45 citations), Biological Psychiatry (12 citations), Pharmacology (64 citations) and Computational Theory and Mathematics (53 citations). Daniela Fenili has collaborated with scholars based in Canada and Italy. Frequent co-authors include JoAnne McLaurin, Mary E. Brown, Rebecca Rappaport, Peter St George‐Hyslop, Kevin Da Silva, Mark Nitz, Ling Wu, Audrey A. Darabie, Isabelle Aubert and Yingqi Weng. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), FEBS Journal, Current Alzheimer Research, Proceedings of the National Academy of Sciences and PLoS ONE.

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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