Daniela Piga

580 citations
21 papers · 401 · h-index 9

Impact in

    • Metabolism and Genetic Disorders
    • Mitochondrial Function and Pathology
    • ATP Synthase and ATPases Research
    • Muscle Physiology and Disorders
    • RNA modifications and cancer

Papers in

Daniela Piga

19 papers receiving 391 citations

Peers

Daniela Piga
Comparison fields: 5 of 75
  • Clinical Biochemistry 79
  • Molecular Biology 289
  • Sensory Systems 17
  • Neurology 25
  • Cellular and Molecular Neuroscience 54
Replace Michela Ripolone with:
Michela Ripolone Italy
Yousheng Yan China
Maria M Campos United States
Dina Marek‐Yagel Israel
Mitsumasa Wada Japan
Martin Krenn Austria
Naoichi Horio Japan
Karen Frudd United Kingdom
Peter Schneiderat Germany
Daniela Piga relative to Michela Ripolone Italy Michela Ripolone's profile →
Citations per field
00.5×1.5×1.9×
Michela Ripolone · 1×
Citations per year

Countries citing papers authored by Daniela Piga

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Piga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201798
2 200878
3 201650
4 201746
5 201925
6 200524
7 201822
8 201913
9 201910
10 20237
11 20206
12 20225
13 20225
14 20184
15 20233
16 20212
17 20241
18 20241
19 20211
20 20230

About Daniela Piga

Daniela Piga is a scholar working on Molecular Biology, Clinical Biochemistry, Cellular and Molecular Neuroscience, Neurology and Epidemiology, having authored 21 papers that have together received 401 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (11 papers), Metabolism and Genetic Disorders (9 papers), ATP Synthase and ATPases Research (7 papers), Muscle Physiology and Disorders (5 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Cell Adhesion Molecules Research (2 papers), Cardiomyopathy and Myosin Studies (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Clinical Biochemistry (79 citations), Molecular Biology (289 citations), Sensory Systems (17 citations), Neurology (25 citations) and Cellular and Molecular Neuroscience (54 citations). Daniela Piga has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Dario Ronchi, Giacomo P. Comi, Stefania Corti, Nereo Bresolin, Alessandro Protti, Agostino Seresini, Mariele Viganò, Lorenza Lazzari, Andrey Y. Abramov and Mario Barilani. Their work appears in journals such as Frontiers in Neurology, Frontiers in Genetics, BMC Neurology, International Journal of Molecular Sciences and Journal of the Neurological Sciences.

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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