Daniela Alberati

1.2k citations
30 papers · 1.0k · h-index 16

Impact in

Papers in

Daniela Alberati

30 papers receiving 1.0k citations

Peers

Daniela Alberati
Comparison fields: 5 of 74
  • Biological Psychiatry 118
  • Biochemistry 284
  • Cellular and Molecular Neuroscience 518
  • Psychiatry and Mental health 131
  • Molecular Biology 409
Replace Karsten K. Madsen with:
Karsten K. Madsen Denmark
Roland Mory Switzerland
Bruno Biton France
Denis Boulay France
Danette M. Pascarella United States
Garrick Paul Smith Denmark
Joseph T. Coyle United States
Caroline Madeira Brazil
Marion Wittmann United States
Shujia Zhu China
Daniela Alberati relative to Karsten K. Madsen Denmark Karsten K. Madsen's profile →
Citations per field
00.5×1.5×2.2×
Karsten K. Madsen · 1×
Citations per year

Countries citing papers authored by Daniela Alberati

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Alberati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014208
2 2010120
3 2011116
4 200399
5 200477
6 200373
7 201827
8 201625
9 201625
10 201123
11 200823
12 200522
13 200522
14 200818
15 201117
16 200617
17 201015
18 201015
19 201315
20 200615

About Daniela Alberati

Daniela Alberati is a scholar working on Biochemistry, Cellular and Molecular Neuroscience, Molecular Biology, Physiology and Psychiatry and Mental health, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (11 papers), Neuroscience and Neuropharmacology Research (9 papers), Receptor Mechanisms and Signaling (7 papers), Phosphodiesterase function and regulation (6 papers), Neuropeptides and Animal Physiology (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Biological Psychiatry (118 citations), Biochemistry (284 citations), Cellular and Molecular Neuroscience (518 citations), Psychiatry and Mental health (131 citations) and Molecular Biology (409 citations). Daniela Alberati has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Edilio Borroni, Emmanuel Pinard, Joseph G. Wettstein, Jean‐Luc Moreau, Frédéric Knoflach, Meret Martin‐Facklam, Dominik Hainzl, Daniel Umbricht, Tanya L. Wallace and James N.C. Kew. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, European Neuropsychopharmacology, Psychopharmacology, International Journal of Obesity and Journal of Pharmacology and Experimental Therapeutics.

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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