Massimo Pieri

4.0k citations
163 papers · 3.1k · h-index 30

Impact in

Papers in

    • Parkinson's Disease Mechanisms and Treatments 20
    • Amyotrophic Lateral Sclerosis Research 15
    • SARS-CoV-2 and COVID-19 Research 21
    • COVID-19 Clinical Research Studies 18
    • SARS-CoV-2 detection and testing 13

Massimo Pieri

153 papers receiving 3.0k citations

Peers

Massimo Pieri
Comparison fields: 5 of 147
  • Neurology 757
  • Cellular and Molecular Neuroscience 491
  • Genetics 270
  • Infectious Diseases 452
  • Developmental Neuroscience 62
Replace Zhi Chen with:
Zhi Chen China
Yao‐Chung Chuang Taiwan
Junguk Hur United States
Tommaso Iannitti Italy
Kevin A. Mills United Kingdom
Yuji Sato Japan
Michael J. Katovich United States
Lu Wang China
Chao You China
Massimo Pieri relative to Zhi Chen China Zhi Chen's profile →
Citations per field
00.5×2×3×3.7×
Zhi Chen · 1×
Citations per year

Countries citing papers authored by Massimo Pieri

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Pieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022178
2 2008122
3 2003121
4 2007110
5 202199
6 202194
7 201591
8 201579
9 200775
10 201374
11 202070
12 202170
13 200962
14 200455
15 201753
16 200650
17 200750
18 202148
19 201545
20 200743

About Massimo Pieri

Massimo Pieri is a scholar working on Neurology, Infectious Diseases, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Physiology, having authored 163 papers that have together received 3.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (21 papers), Parkinson's Disease Mechanisms and Treatments (20 papers), COVID-19 Clinical Research Studies (18 papers), Cardiovascular and Diving-Related Complications (18 papers), Amyotrophic Lateral Sclerosis Research (15 papers), SARS-CoV-2 detection and testing (13 papers), Neuroscience and Neuropharmacology Research (11 papers) and Alzheimer's disease research and treatments (9 papers). The work is most often cited by research in Neurology (757 citations), Cellular and Molecular Neuroscience (491 citations), Genetics (270 citations), Infectious Diseases (452 citations) and Developmental Neuroscience (62 citations). Massimo Pieri has collaborated with scholars based in Italy, United States and Qatar. Frequent co-authors include Cristina Zona, Sergio Bernardini, Irene Carunchio, Federica Albo, Nicola Biagio Mercuri, Marco Ciotti, Alessandro Marroni, Marzia Nuccetelli, Danilo Cialoni and Marilena Minieri. Their work appears in journals such as International Journal of Molecular Sciences, International Immunopharmacology, Neuropharmacology, Clinical Chemistry and Laboratory Medicine (CCLM) and Clinica Chimica Acta.

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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