Giulia Albertini

28 papers receiving 628 citations

Peers

Giulia Albertini
Comparison fields: 5 of 66
  • Biological Psychiatry 82
  • Behavioral Neuroscience 67
  • Neurology 118
  • Cellular and Molecular Neuroscience 219
  • Biochemistry 65
Replace Eduard Bentea with:
Eduard Bentea Belgium
Joeri Van Liefferinge Belgium
Anna Kruyer United States
Magdalena Cieślik Poland
Yuan‐Feen Tsai Taiwan
Serena Notartomaso Italy
Anemari Horvat Slovenia
Sally Timm Denmark
H.W.G.M. Boddeke Netherlands
Linda Garcés‐Ramírez Mexico
Giulia Albertini relative to Eduard Bentea Belgium Eduard Bentea's profile →
Citations per field
00.5×2.9×
Eduard Bentea · 1×
Citations per year

Countries citing papers authored by Giulia Albertini

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Albertini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201850
2 201650
3 202447
4 201543
5 201541
6 201835
7 201832
8 201632
9 201532
10 201528
11 201727
12 201526
13 201925
14 202023
15 201721
16 202316
17 201514
18 202513
19 201913
20 201912

About Giulia Albertini

Giulia Albertini is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Biological Psychiatry and Biochemistry, having authored 28 papers that have together received 629 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Amino Acid Enzymes and Metabolism (5 papers), Tryptophan and brain disorders (5 papers), Stress Responses and Cortisol (4 papers), Alzheimer's disease research and treatments (3 papers), Ion channel regulation and function (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Biological Psychiatry (82 citations), Behavioral Neuroscience (67 citations), Neurology (118 citations), Cellular and Molecular Neuroscience (219 citations) and Biochemistry (65 citations). Giulia Albertini has collaborated with scholars based in Belgium, Japan and United States. Frequent co-authors include Ilse Smolders, Ann Massie, Eduard Bentea, Thomas Demuyser, Dimitri De Bundel, Lauren Deneyer, Joeri Van Liefferinge, Hideyo Sato, Ann Van Eeckhaut and Mathieu Vinken. Their work appears in journals such as Experimental Neurology, Epilepsia, Glia, Frontiers in Cellular Neuroscience and Nature Communications.

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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