M. Franceschi

98 papers receiving 3.4k citations

Peers

M. Franceschi
Comparison fields: 5 of 131
  • Psychiatry and Mental health 1.0k
  • Neurology 557
  • Cognitive Neuroscience 1.3k
  • Biological Psychiatry 109
  • Physiology 1.0k
Replace Paolo Caffarra with:
Paolo Caffarra Italy
E.-L. Helkala Finland
Wai Hon Tsui United States
Michael Hong United States
Susan Spear Bassett United States
Peter Schönknecht Germany
Eric E. Abrahamson United States
Yu Kyeong Kim South Korea
Maarit Lehtovirta Finland
Karen J. Miller United States
M. Franceschi relative to Paolo Caffarra Italy Paolo Caffarra's profile →
Citations per field
00.5×1.5×
Paolo Caffarra · 1×
Citations per year

Countries citing papers authored by M. Franceschi

Since Specialization
Citations

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

Fields of papers citing papers by M. Franceschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998283
2 2000281
3 1997144
4 2006143
5 2001140
6 2005131
7 1993122
8
High-resolution technetium-99m-HMPAO SPECT in patients with probable Alzheimer's disease: comparison with fluorine-18-FDG PET.
1994100
9 199298
10 200988
11 200681
12 200079
13 198277
14 201374
15 201069
16 198467
17 200366
18 201363
19 198463
20 199959

About M. Franceschi

M. Franceschi is a scholar working on Physiology, Cognitive Neuroscience, Psychiatry and Mental health, Neurology and Neurology, having authored 99 papers that have together received 3.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (23 papers), Dementia and Cognitive Impairment Research (14 papers), Parkinson's Disease Mechanisms and Treatments (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Epilepsy research and treatment (9 papers), Cholinesterase and Neurodegenerative Diseases (9 papers), Advanced MRI Techniques and Applications (7 papers) and S100 Proteins and Annexins (7 papers). The work is most often cited by research in Psychiatry and Mental health (1.0k citations), Neurology (557 citations), Cognitive Neuroscience (1.3k citations), Biological Psychiatry (109 citations) and Physiology (1.0k citations). M. Franceschi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Ferruccio Fazio, Giancarlo Comi, Salvatore Smirne, Margherita Alberoni, T. Locatelli, Marco Cursi, Diego Liberati, Giuseppe Magnani, Stefano F. Cappa and Nicola Canal. Their work appears in journals such as Journal of Alzheimer s Disease, Dementia and Geriatric Cognitive Disorders, Neurobiology of Aging, Neurology and Journal of Neurology Neurosurgery & Psychiatry.

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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