Francesca Macchi

1.2k citations
30 papers · 829 · h-index 18

Impact in

  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Nerve injury and regeneration
    • Neuroscience and Neuropharmacology Research
    • Nuclear Receptors and Signaling

Papers in

Francesca Macchi

28 papers receiving 820 citations

Peers

Francesca Macchi
Comparison fields: 5 of 92
  • Neurology 219
  • Cellular and Molecular Neuroscience 177
  • Neurology 65
  • Biological Psychiatry 13
  • Physiology 118
Replace Katlijn Vints with:
Katlijn Vints Belgium
Claudia Ricci Italy
Prem Prakash Tripathi India
Adriana Paulucci-Holthauzen United States
Jonathan W. Francis United States
Elsa Lauwers Belgium
Callista B. Harper Australia
Yi Xue United States
Nathalie Dutheil France
Kensuke Ikenaka Japan
Francesca Macchi relative to Katlijn Vints Belgium Katlijn Vints's profile →
Citations per field
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Katlijn Vints · 1×
Citations per year

Countries citing papers authored by Francesca Macchi

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Macchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Francesca Macchi, 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 Francesca Macchi Line = papers co-authored together Francesca Macchi 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 201487
2 201387
3 201278
4 201571
5 201451
6 201348
7 202144
8 201834
9 202032
10 202032
11 202130
12 201127
13 201126
14 202323
15 201422
16 201720
17 202119
18 201718
19 201814
20 201513

About Francesca Macchi

Francesca Macchi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Epidemiology and Genetics, having authored 30 papers that have together received 829 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Nerve injury and regeneration (4 papers), Virology and Viral Diseases (3 papers), Herpesvirus Infections and Treatments (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Virus-based gene therapy research (3 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Neurology (219 citations), Cellular and Molecular Neuroscience (177 citations), Neurology (65 citations), Biological Psychiatry (13 citations) and Physiology (118 citations). Francesca Macchi has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Daniel E. Otzen, Chris Van den Haute, Veerle Baekelandt, Gaetano Donofrío, H. Kiefer, Anke Van der Perren, Zeger Debyser, Yuri Bozzi, Valentina Franceschi and Rik Gijsbers. Their work appears in journals such as Frontiers in Immunology, Neurobiology of Aging, Vaccines, npj Parkinson s Disease and Epilepsia.

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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