M. Fabris

1.0k citations
20 papers · 628 · h-index 14

Impact in

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

Papers in

    • Muscle Physiology and Disorders 7
    • RNA Interference and Gene Delivery 5
    • RNA Research and Splicing 5
    • Advanced biosensing and bioanalysis techniques 4
    • RNA modifications and cancer 4
    • Viral-associated cancers and disorders 4

M. Fabris

20 papers receiving 619 citations

Peers

M. Fabris
Comparison fields: 5 of 67
  • Virology 85
  • Oncology 265
  • Infectious Diseases 149
  • Epidemiology 198
  • Molecular Biology 261
Replace Sarah F. Brooks with:
Sarah F. Brooks United States
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Allen E. Krouse United States
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Tony Chu United Kingdom
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Daniela Sartori Italy
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M. Fabris relative to Sarah F. Brooks United States Sarah F. Brooks's profile →
Citations per field
00.5×3.5×
Sarah F. Brooks · 1×
Citations per year

Countries citing papers authored by M. Fabris

Since Specialization
Citations

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

Fields of papers citing papers by M. Fabris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1996194
2 200473
3 199545
4 201243
5 200938
6 201336
7 200934
8 200131
9 200930
10 201026
11 201318
12 201216
13 200814
14 201014
15 20029
16 20013
17 20251
18 20071
19 20121
20 20081

About M. Fabris

M. Fabris is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Cardiology and Cardiovascular Medicine and Virology, having authored 20 papers that have together received 628 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (7 papers), RNA Interference and Gene Delivery (5 papers), RNA Research and Splicing (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Viral-associated cancers and disorders (4 papers), RNA modifications and cancer (4 papers), HIV Research and Treatment (3 papers) and Conducting polymers and applications (3 papers). The work is most often cited by research in Virology (85 citations), Oncology (265 citations), Infectious Diseases (149 citations), Epidemiology (198 citations) and Molecular Biology (261 citations). M. Fabris has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Paolo Monini, Enzo Cassai, 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 Human Mutation, Neuromuscular Disorders, Journal of Virology, Human Gene Therapy and The Journal of Immunology.

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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