Marco Piccinini

1.4k citations
50 papers · 1.0k indexed · h-index 18

Impact in

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

Papers in

Marco Piccinini

49 papers receiving 1.0k citations

Peers

Marco Piccinini
Comparison fields: 5 of 105
  • Virology 64
  • Neurology 205
  • Genetics 118
  • Molecular Biology 564
  • Neurology 65
Replace Jiho Kim with:
Jiho Kim South Korea
Natalia B. Nedelsky United States
Gabriele Zaffagnini Austria
Emilie Tresse France
Mohammad Fallahi United States
Chieko Kishi‐Itakura United Kingdom
Mariella Vicinanza United Kingdom
Dong‐Chul Kang United States
Evan Hermel United States
Yoichi Ishida Japan
Marco Piccinini relative to Jiho Kim South Korea Jiho Kim's profile →
Citations per field
00.5×2.8×
Jiho Kim · 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
#Work
1 201715
2 201744
3 201417
4 20117
5 201052
6 200927
7 200916
8 20067
9 200515
10 200314
11 200332
12 200264
13 199712
14 199710
15 19946
16 19929
17 199114
18 199130
19 19899
20 198812

About Marco Piccinini

Marco Piccinini is a scholar working on Biochemistry, Toxicology, Cell Biology, Physiology and Genetics, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), Pancreatic function and diabetes (9 papers), Diabetes and associated disorders (8 papers), Biochemical Acid Research Studies (8 papers), Diet and metabolism studies (6 papers), Peptidase Inhibition and Analysis (5 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and HIV/AIDS drug development and treatment (3 papers). The work is most often cited by research in Virology (64 citations), Neurology (205 citations), Genetics (118 citations), Molecular Biology (564 citations) and Neurology (65 citations). Marco Piccinini has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include M. Rinaudo, Barbara Buccinnà, Elisa Lupino, Michael Mostert, Cristina Ramondetti, Giovanni De Marco, Emanuela Ricotti, Pier‐Angelo Tovo, Maria Teresa Giordana and Silvia Grifoni. Their work appears in journals such as Biochemical Journal, Brain Pathology, Clinical Science, Biochemical Pharmacology and MedChemComm.

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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