Marco Piccinini

1.4k citations
51 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

50 papers receiving 1.1k citations

Peers

Marco Piccinini
Comparison fields: 5 of 103
  • Neurology 213
  • Virology 55
  • Genetics 115
  • Molecular Biology 534
  • Cell Biology 126
Replace M. Rinaudo with:
M. Rinaudo Italy
Gabriele Zaffagnini Austria
Nao Hosokawa Japan
Yoichi Ishida Japan
Luisa Schiaffonati Italy
Douglas J. Lamont United Kingdom
Chieko Kishi‐Itakura United Kingdom
Jenny Ghelfi Luxembourg
Dong‐Chul Kang United States
M J Clemens United Kingdom
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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009126
2 2010117
3 200566
4 200265
5 201054
6 200553
7 201749
8 199242
9 201236
10 200334
11 200930
12 199129
13 201829
14 199029
15 200122
16 201720
17 200020
18 199619
19 201417
20 200516

About Marco Piccinini

Marco Piccinini is a scholar working on Molecular Biology, Physiology, Cell Biology, Genetics and Surgery, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 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 Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Neurology (213 citations), Virology (55 citations), Genetics (115 citations), Molecular Biology (534 citations) and Cell Biology (126 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, Emanuela Ricotti, Maria Teresa Giordana, Pier‐Angelo Tovo and Silvia Grifoni. Their work appears in journals such as Biochemical Journal, Biochemical Pharmacology, MedChemComm, Brain Pathology 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.

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