Laura Piccio

16.0k total citations · 2 hit papers
96 papers, 6.4k citations indexed

About

Laura Piccio is a scholar working on Immunology, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Laura Piccio has authored 96 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Immunology, 30 papers in Pathology and Forensic Medicine and 26 papers in Neurology. Recurrent topics in Laura Piccio's work include Multiple Sclerosis Research Studies (30 papers), Neuroinflammation and Neurodegeneration Mechanisms (25 papers) and Inflammation biomarkers and pathways (18 papers). Laura Piccio is often cited by papers focused on Multiple Sclerosis Research Studies (30 papers), Neuroinflammation and Neurodegeneration Mechanisms (25 papers) and Inflammation biomarkers and pathways (18 papers). Laura Piccio collaborates with scholars based in United States, Italy and Australia. Laura Piccio's co-authors include Anne H. Cross, Marco Colonna, Claudia Cantoni, Marina Cella, Laura Ghezzi, Susan Gilfillan, Gabriela Constantin, Robert T. Naismith, Robyn S. Klein and Carlo Laudanna and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Laura Piccio

91 papers receiving 6.4k citations

Hit Papers

Cutting Edge: TREM-2 Attenuates Macrophage Activation 2006 2026 2012 2019 2006 2018 100 200 300 400 500

Peers

Laura Piccio
Comparison fields: 5 of 127
  • Immunology 2.8k
  • Neurology 2.3k
  • Physiology 1.5k
  • Molecular Biology 1.4k
  • Pathology and Forensic Medicine 1.2k
Replace Glenn K. Matsushima with:
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Glenn K. Matsushima United States View profile →
Citations per field, relative to Laura Piccio
Laura Piccio · 1×
Citations per year, relative to Laura Piccio
Laura Piccio · 1×

Countries citing papers authored by Laura Piccio

Since Specialization
Citations

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

Fields of papers citing papers by Laura Piccio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Piccio

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Piccio. A scholar is included among the top collaborators of Laura Piccio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laura Piccio. Laura Piccio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 0
5 2
6 4
7 11
8 2
9 6
10 11
11 20
12 66
13 53
14 10
15 80
16 257
17 76
18 15
19 158
20
Cutting Edge: TREM-2 Attenuates Macrophage Activation breakdown →
527

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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