Alberto Malerba

1.7k citations
49 papers · 1.1k · h-index 22

Impact in

  • Genetics top 5%
    • Virus-based gene therapy research
    • Neurogenetic and Muscular Disorders Research
  • Aging top 10%

Papers in

    • Muscle Physiology and Disorders 39
    • RNA Research and Splicing 5
    • RNA regulation and disease 5
    • Virus-based gene therapy research 13
    • Neurogenetic and Muscular Disorders Research 8

Alberto Malerba

48 papers receiving 1.1k citations

Peers

Alberto Malerba
Comparison fields: 5 of 82
  • Genetics 204
  • Aging 25
  • Molecular Biology 844
  • Genetics 193
  • Biomaterials 81
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Citations per field
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Citations per year

Countries citing papers authored by Alberto Malerba

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Malerba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201076
2 201867
3 200962
4 201759
5 202055
6 201051
7 200750
8 201148
9 200947
10 201142
11 201839
12 201236
13 200933
14 200831
15 201928
16 200827
17 200826
18 201924
19 202023
20 201623

About Alberto Malerba

Alberto Malerba is a scholar working on Molecular Biology, Genetics, Genetics, Physiology and Cardiology and Cardiovascular Medicine, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (39 papers), Virus-based gene therapy research (13 papers), Neurogenetic and Muscular Disorders Research (8 papers), Genetic Neurodegenerative Diseases (5 papers), RNA Research and Splicing (5 papers), RNA regulation and disease (5 papers), Silk-based biomaterials and applications (4 papers) and Advanced Sensor and Energy Harvesting Materials (4 papers). The work is most often cited by research in Genetics (204 citations), Aging (25 citations), Molecular Biology (844 citations), Genetics (193 citations) and Biomaterials (81 citations). Alberto Malerba has collaborated with scholars based in United Kingdom, France and Italy. Frequent co-authors include George Dickson, Linda Popplewell, Ngoc Lu‐Nguyen, Luisa Boldrin, Keith Foster, Ian R. Graham, Capucine Trollet, Paolo De Coppi, Haiyan Zhou and Virginia Arechavala‐Gomeza. Their work appears in journals such as Human Gene Therapy, Human Molecular Genetics, Biomedicines, International Journal of Molecular Sciences and Nucleic Acid Therapeutics.

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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