Marco Piccinini

1.4k citations
50 papers · 1.1k · h-index 18

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
  • Virology top 10%
    • HIV Research and Treatment

Papers in

Marco Piccinini

49 papers receiving 1.0k citations

Peers

Marco Piccinini
Comparison fields: 5 of 103
  • Neurology 205
  • Virology 54
  • Genetics 111
  • Neurology 59
  • Molecular Biology 511
Replace M. Rinaudo with:
M. Rinaudo Italy
Jiho Kim South Korea
Jaekyoon Shin South Korea
Gabriele Zaffagnini Austria
Nao Hosokawa Japan
Yoichi Ishida Japan
Douglas J. Lamont United Kingdom
Chieko Kishi‐Itakura United Kingdom
Daniel Meley France
Yoshihiro Tagawa Japan
Marco Piccinini relative to M. Rinaudo Italy M. Rinaudo's profile →
Citations per field
00.5×1.5×
M. Rinaudo · 1×
Citations per year

Countries citing papers authored by Marco Piccinini

Since Specialization
Citations

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

Fields of papers citing papers by Marco Piccinini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009122
2 2010113
3 200565
4 200264
5 201053
6 200549
7 201746
8 199242
9 201235
10 200332
11 199129
12 200927
13 201826
14 199022
15 199619
16 200119
17 200019
18 201417
19 200916
20 200515

About Marco Piccinini

Marco Piccinini is a scholar working on Molecular Biology, Physiology, Genetics, Surgery and Cell Biology, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), Pancreatic function and diabetes (7 papers), Biochemical Acid Research Studies (7 papers), Diabetes and associated disorders (6 papers), Diet and metabolism studies (5 papers), Peptidase Inhibition and Analysis (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Neurology (205 citations), Virology (54 citations), Genetics (111 citations), Neurology (59 citations) and Molecular Biology (511 citations). Marco Piccinini has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include M. Rinaudo, Elisa Lupino, Barbara Buccinnà, Michael Mostert, Cristina Ramondetti, Giovanni De Marco, Maria Teresa Giordana, Emanuela Ricotti, Pier‐Angelo Tovo and Silvia Grifoni. Their work appears in journals such as Biochemical Journal, Biochemical Pharmacology, Brain Pathology, MedChemComm and Clinical Science.

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.

Explore authors with similar magnitude of impact