Anna Chiarini

2.7k citations
103 papers · 2.3k · h-index 28

Impact in

  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Silk-based biomaterials and applications
    • Electrospun Nanofibers in Biomedical Applications

Papers in

Anna Chiarini

100 papers receiving 2.2k citations

Peers

Anna Chiarini
Comparison fields: 5 of 124
  • Neurology 298
  • Biomaterials 501
  • Biological Psychiatry 73
  • Microbiology 167
  • Physiology 521
Replace Amelia Cataldi with:
Amelia Cataldi Italy
Anne‐Marie Malfait United States
Dariusz Szukiewicz Poland
Qingqing Wang China
Stefania Morrone Italy
Elena González‐Rey Spain
Hee Jung Kim South Korea
Jian Zhou China
Patrick M. Flood United States
Daniela Sachs Brazil
Anna Chiarini relative to Amelia Cataldi Italy Amelia Cataldi's profile →
Citations per field
00.5×2×3.5×
Amelia Cataldi · 1×
Citations per year

Countries citing papers authored by Anna Chiarini

Since Specialization
Citations

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

Fields of papers citing papers by Anna Chiarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004181
2 2022159
3 2019138
4 2002123
5 201790
6 200382
7 201465
8 201362
9 202057
10 201950
11 200847
12
The killing of neurons by beta-amyloid peptides, prions, and pro-inflammatory cytokines.
200745
13 201244
14 201644
15 200543
16 199139
17 199338
18 201437
19 201437
20 202336

About Anna Chiarini

Anna Chiarini is a scholar working on Molecular Biology, Physiology, Neurology, Epidemiology and Biomaterials, having authored 103 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (21 papers), Alzheimer's disease research and treatments (20 papers), Silk-based biomaterials and applications (11 papers), Neuroscience and Neuropharmacology Research (8 papers), Virology and Viral Diseases (8 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), Bone Tissue Engineering Materials (5 papers) and Bacterial Infections and Vaccines (5 papers). The work is most often cited by research in Neurology (298 citations), Biomaterials (501 citations), Biological Psychiatry (73 citations), Microbiology (167 citations) and Physiology (521 citations). Anna Chiarini has collaborated with scholars based in Italy, China and Canada. Frequent co-authors include Ubaldo Armato, Ilaria Dal Prà, Giuliano Freddi, Raffaella Pacchiana, J. F. Whitfield, Balu Chakravarthy, Li Gui, Emanuela Gardenal, James Whitfield and Zhibin Li. Their work appears in journals such as International Journal of Molecular Medicine, Archives of Virology, Cells, European Journal of Epidemiology and Current Pharmaceutical Biotechnology.

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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