Alberto Calvi

770 citations
35 papers · 518 indexed · h-index 11

Impact in

Papers in

    • Multiple Sclerosis Research Studies 22
    • Systemic Sclerosis and Related Diseases 3
    • Amyotrophic Lateral Sclerosis Research 3
    • Neuroinflammation and Neurodegeneration Mechanisms 3

Alberto Calvi

28 papers receiving 511 citations

Peers

Alberto Calvi
Comparison fields: 5 of 68
  • Pathology and Forensic Medicine 266
  • Cancer Research 121
  • Neurology 61
  • Neurology 93
  • Developmental Neuroscience 19
Replace Marta Giannini with:
Marta Giannini Italy
Darlene Badgett United States
Camilo Diaz‐Cruz United States
Heidi Högel Finland
Calvin Park United States
Javad Rasouli United States
Miriam Tamaño‐Blanco United States
Annalinda Pisano Italy
Verena Endmayr Austria
Marisa Teigell France
Alberto Calvi relative to Marta Giannini Italy Marta Giannini's profile →
Citations per field
00.5×2.8×
Marta Giannini · 1×
Citations per year

Countries citing papers authored by Alberto Calvi

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Calvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20242
4 20240
5 20242
6 20235
7 20234
8 20230
9 20236
10 202259
11 202229
12 20214
13 201914
14 201840
15 201734
16 201631
17 20156
18 20137
19 20132
20 201376

About Alberto Calvi

Alberto Calvi is a scholar working on Pathology and Forensic Medicine, Neurology, Developmental Neuroscience, Radiology, Nuclear Medicine and Imaging and Ophthalmology, having authored 35 papers that have together received 518 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (22 papers), Advanced Neuroimaging Techniques and Applications (8 papers), MicroRNA in disease regulation (3 papers), Polyomavirus and related diseases (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Systemic Lupus Erythematosus Research (3 papers) and Systemic Sclerosis and Related Diseases (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (266 citations), Cancer Research (121 citations), Neurology (61 citations), Neurology (93 citations) and Developmental Neuroscience (19 citations). Alberto Calvi has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Ferrán Prados, Elio Scarpini, Milena De Riz, Daniela Galimberti, Anna M. Pietroboni, Frederik Barkhof, Carmen Tur, Declan Chard, Chiara Fenoglio and María Serpente. Their work appears in journals such as Multiple Sclerosis Journal, Journal of Neurology Neurosurgery & Psychiatry, European Journal of Neurology, NeuroImage Clinical and Journal of Neuroimmunology.

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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