Marika Pane

13.1k citations
127 papers · 3.9k · h-index 36

Impact in

  • Genetics top 0.5%
    • Neurogenetic and Muscular Disorders Research
    • Muscle Physiology and Disorders
    • RNA modifications and cancer
    • RNA Research and Splicing

Papers in

    • Muscle Physiology and Disorders 47
    • RNA modifications and cancer 14
    • Neurogenetic and Muscular Disorders Research 57
    • Genetics and Neurodevelopmental Disorders 10

Marika Pane

121 papers receiving 3.8k citations

Peers

Marika Pane
Comparison fields: 5 of 102
  • Genetics 1.6k
  • Molecular Biology 2.5k
  • Cellular and Molecular Neuroscience 541
  • Cardiology and Cardiovascular Medicine 587
  • Psychiatry and Mental health 365
Replace Brenda Wong with:
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Marika Pane relative to Brenda Wong United States Brenda Wong's profile →
Citations per field
00.5×1.6×
Brenda Wong · 1×
Citations per year

Countries citing papers authored by Marika Pane

Since Specialization
Citations

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

Fields of papers citing papers by Marika Pane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007303
2 2015233
3 2010230
4 2016141
5 2012126
6 2005120
7 2004114
8 2009103
9 2015100
10 200597
11 201690
12 200686
13 200885
14 200880
15 202178
16 201769
17 201867
18 201165
19 200862
20 200760

About Marika Pane

Marika Pane is a scholar working on Molecular Biology, Genetics, Surgery, Cardiology and Cardiovascular Medicine and Genetics, having authored 127 papers that have together received 3.9k indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (57 papers), Muscle Physiology and Disorders (47 papers), Congenital Anomalies and Fetal Surgery (22 papers), Cardiomyopathy and Myosin Studies (16 papers), RNA modifications and cancer (14 papers), Children's Physical and Motor Development (10 papers), Genetics and Neurodevelopmental Disorders (10 papers) and Neonatal and fetal brain pathology (9 papers). The work is most often cited by research in Genetics (1.6k citations), Molecular Biology (2.5k citations), Cellular and Molecular Neuroscience (541 citations), Cardiology and Cardiovascular Medicine (587 citations) and Psychiatry and Mental health (365 citations). Marika Pane has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Eugenio Mercuri, Sonia Messina, Francesco Muntoni, Enrico Bertini, Joanna Allsop, Anna Pichiecchio, Adele D’Amico, Valeria Ricotti, Elena Mazzone and Giorgia Coratti. Their work appears in journals such as Neuromuscular Disorders, Developmental Medicine & Child Neurology, PLoS ONE, Neurology and Neuropediatrics.

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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