Marina Fabris

1.1k citations
24 papers · 900 · h-index 16

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Oncology top 10%
    • Viral-associated cancers and disorders

Papers in

    • Muscle Physiology and Disorders 10
    • RNA Research and Splicing 7
    • RNA Interference and Gene Delivery 6
    • RNA modifications and cancer 5
    • Advanced biosensing and bioanalysis techniques 4
    • HIV Research and Treatment 3

Marina Fabris

24 papers receiving 876 citations

Peers

Marina Fabris
Comparison fields: 5 of 74
  • Virology 91
  • Oncology 283
  • Infectious Diseases 139
  • Genetics 69
  • Molecular Biology 440
Replace Colette Aprhys with:
Colette Aprhys United States
Susan Westmoreland United States
Hideki Hanawa Japan
Giuliana Vallanti Italy
Allen E. Krouse United States
Jochen Düllmann Germany
Martha R. Neagu United States
Bharat G. Bajaj United States
Brigitte Raynaud‐Messina France
Heather Sheppard United States
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Citations per field
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Citations per year

Countries citing papers authored by Marina Fabris

Since Specialization
Citations

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

Fields of papers citing papers by Marina Fabris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996229
2 200486
3 200965
4 200862
5 202060
6 201249
7 199546
8 200939
9 201339
10 200937
11 200133
12 200931
13 201028
14 201319
15 201217
16 200816
17 201016
18 200210
19 202110
20 20013

About Marina Fabris

Marina Fabris is a scholar working on Molecular Biology, Virology, Polymers and Plastics, Oncology and Cancer Research, having authored 24 papers that have together received 900 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (10 papers), RNA Research and Splicing (7 papers), RNA Interference and Gene Delivery (6 papers), RNA modifications and cancer (5 papers), Viral-associated cancers and disorders (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Conducting polymers and applications (3 papers) and HIV Research and Treatment (3 papers). The work is most often cited by research in Virology (91 citations), Oncology (283 citations), Infectious Diseases (139 citations), Genetics (69 citations) and Molecular Biology (440 citations). Marina Fabris has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Enzo Cassai, Paolo Monini, Laura De Lellis, Franco Rigolin, Paola Rimessi, Alessandra Ferlini, Francesca Gualandi, Antonella Caputo, Matteo Bovolenta and Patrizia Sabatelli. Their work appears in journals such as Neuromuscular Disorders, Human Mutation, Journal of Virology, BioMed Research International and Molecular Therapy.

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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