V. Argentiero

645 citations
16 papers · 487 · h-index 9

Impact in

  • Neurology top 10%
    • Autoimmune Neurological Disorders and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Peripheral Neuropathies and Disorders

Papers in

V. Argentiero

16 papers receiving 466 citations

Peers

V. Argentiero
Comparison fields: 5 of 65
  • Biological Psychiatry 25
  • Neurology 77
  • Neurology 120
  • Physiology 157
  • Virology 21
Replace Toshiki Fujioka with:
Toshiki Fujioka Japan
Franca Orsini Italy
Peter Gochee Australia
Shin‐Young Na Germany
Raffaella Gesuete Italy
Stephanie Adamczak United States
Nino Muradashvili United States
Animesh Alexander Raha United Kingdom
Nicole LeCapitaine United States
Aaron E. Miller United States
V. Argentiero relative to Toshiki Fujioka Japan Toshiki Fujioka's profile →
Citations per field
00.5×
Toshiki Fujioka · 1×
Citations per year

Countries citing papers authored by V. Argentiero

Since Specialization
Citations

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

Fields of papers citing papers by V. Argentiero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 199084
2 198981
3 200581
4 199651
5 198043
6 198040
7 199039
8 200824
9 200822
10 20096
11 19945
12
Macrophage-derived cytokines in the cerebrospinal fluid of HIV-1-infected patients.
19904
13
The complement system and plasma protein levels in Alzheimer's disease.
19833
14 20112
15 20081
16 19921

About V. Argentiero

V. Argentiero is a scholar working on Cellular and Molecular Neuroscience, Neurology, Physiology, Pathology and Forensic Medicine and Neurology, having authored 16 papers that have together received 487 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Genetic Neurodegenerative Diseases (3 papers), Autoimmune Neurological Disorders and Treatments (3 papers), Multiple Sclerosis Research Studies (3 papers), Diabetes and associated disorders (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Biological Psychiatry (25 citations), Neurology (77 citations), Neurology (120 citations), Physiology (157 citations) and Virology (21 citations). V. Argentiero has collaborated with scholars based in Italy and United Kingdom. Frequent co-authors include B. Tavolato, Bruno Giometto, Paolo Gallo, Maria Grazia Piccinno, Silvana Pagni, Deborah Miotto, T. Scaravilli, G. Ongaro, Luigi Zuliani and Marco Spinazzi. Their work appears in journals such as Journal of the Neurological Sciences, Journal of Neurology, Journal of Neuroimmunology, Neurology and Neurological Sciences.

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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