Daniela Fenili

442 total citations
9 papers, 333 citations indexed

About

Daniela Fenili is a scholar working on Physiology, Molecular Biology and Nephrology. According to data from OpenAlex, Daniela Fenili has authored 9 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Molecular Biology and 2 papers in Nephrology. Recurrent topics in Daniela Fenili's work include Alzheimer's disease research and treatments (4 papers), Metabolomics and Mass Spectrometry Studies (1 paper) and Prion Diseases and Protein Misfolding (1 paper). Daniela Fenili is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Metabolomics and Mass Spectrometry Studies (1 paper) and Prion Diseases and Protein Misfolding (1 paper). Daniela Fenili collaborates with scholars based in Canada and Italy. Daniela Fenili's co-authors include JoAnne McLaurin, Mary E. Brown, Rebecca Rappaport, Kevin Da Silva, Peter St George‐Hyslop, Mark Nitz, Ling Wu, Audrey A. Darabie, Yingqi Weng and Isabelle Aubert and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and FEBS Journal.

In The Last Decade

Daniela Fenili

8 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniela Fenili Canada	7	207	124	64	53	45	9	333
Arturo R. Viscomi Italy	9	191 0.9×	152 1.2×	70 1.1×	36 0.7×	61 1.4×	10	513
Tanaporn Wangsanut Thailand	6	290 1.4×	194 1.6×	80 1.3×	53 1.0×	71 1.6×	12	446
Alex L. Lublin United States	12	316 1.5×	275 2.2×	100 1.6×	57 1.1×	54 1.2×	18	658
Panchanan Maiti United States	8	189 0.9×	128 1.0×	55 0.9×	22 0.4×	41 0.9×	10	358
M. Mahafuzur Rahman Sweden	8	189 0.9×	149 1.2×	38 0.6×	21 0.4×	43 1.0×	10	321
Drew R. DeBay Canada	8	91 0.4×	118 1.0×	110 1.7×	58 1.1×	29 0.6×	16	328
R. Mena Mexico	7	224 1.1×	125 1.0×	77 1.2×	18 0.3×	48 1.1×	10	350
Chinzorig Radnaabazar South Korea	6	181 0.9×	220 1.8×	47 0.7×	23 0.4×	24 0.5×	7	509
Miguel Marín Spain	6	158 0.8×	85 0.7×	84 1.3×	40 0.8×	51 1.1×	11	299
Maya L. Gosztyla United States	7	278 1.3×	234 1.9×	76 1.2×	47 0.9×	95 2.1×	10	515

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-authorship network of co-authors of Daniela Fenili

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

All Works

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9 of 9 papers shown

1.

Hawkes, Cheryl A., et al.. (2012). In Vivo Uptake of β-Amyloid by Non-Plaque Associated Microglia. Current Alzheimer Research. 9(8). 890–901. 15 indexed citations

2.

Fenili, Daniela, Yingqi Weng, Isabelle Aubert, Mark Nitz, & JoAnne McLaurin. (2011). Sodium/myo-Inositol Transporters: Substrate Transport Requirements and Regional Brain Expression in the TgCRND8 Mouse Model of Amyloid Pathology. PLoS ONE. 6(8). e24032–e24032. 29 indexed citations

3.

Nitz, Mark, et al.. (2008). Modulation of amyloid‐β aggregation and toxicity by inosose stereoisomers. FEBS Journal. 275(8). 1663–1674. 40 indexed citations

4.

Fenili, Daniela, Mary E. Brown, Rebecca Rappaport, & JoAnne McLaurin. (2007). Properties of scyllo–inositol as a therapeutic treatment of AD-like pathology. Journal of Molecular Medicine. 85(6). 603–611. 111 indexed citations

5.

Fenili, Daniela & JoAnne McLaurin. (2005). Cholesterol and Apoe: A Target for Alzheimers Disease Therapeutics. PubMed. 4(5). 553–567. 7 indexed citations

6.

Silva, Kevin Da, et al.. (2004). Immunotherapy for Alzheimer's disease. Proceedings of the National Academy of Sciences. 101(suppl_2). 14657–14662. 122 indexed citations

7.

Fenili, Daniela & Umberto De Boni. (2003). Organotypic slices in vitro: repeated, same-cell, high-resolution tracking of nuclear and cytoplasmic fluorescent signals in live, transfected cerebellar neurons by confocal microscopy. Brain Research Protocols. 11(2). 101–110. 6 indexed citations

8.

Franzini, Carlo, Ferruccio Ceriotti, C. A. Ferrero, et al.. (1991). Technical rcport. Clinical Chemistry and Laboratory Medicine (CCLM). 29(11). 759–65. 2 indexed citations

9.

Zoppi, F., Andrea Peracino, Santica M. Marcovina, & Daniela Fenili. (1980). Development and Improvement of a Commercial Uric Acid Enzymatic Determination Kit on a Centrifugal Fast Analyzer.. Clinical Chemistry and Laboratory Medicine (CCLM). 18(1). 59–65. 1 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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