Massimo Ganassi

1.3k citations
19 papers · 893 · h-index 13

Impact in

  • Aging top 10%
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Muscle Physiology and Disorders 12
    • RNA Research and Splicing 5
    • Congenital heart defects research 3
    • Ubiquitin and proteasome pathways 2
    • Heat shock proteins research 2
    • Histone Deacetylase Inhibitors Research 2
    • Tissue Engineering and Regenerative Medicine 4

Massimo Ganassi

19 papers receiving 887 citations

Peers

Massimo Ganassi
Comparison fields: 5 of 75
  • Aging 31
  • Genetics 112
  • Cell Biology 169
  • Molecular Biology 702
  • Neurology 104
Replace Benjamin D. Canan with:
Benjamin D. Canan United States
Huibin Tang United States
Jesse M. Flynn United States
Virginie Jacquemin France
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Citations per field
00.5×4.3×
Benjamin D. Canan · 1×
Citations per year

Countries citing papers authored by Massimo Ganassi

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Ganassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2016241
2 2018126
3 202098
4 201679
5 202257
6 201548
7 202246
8 202144
9 200730
10 201029
11 201628
12 201423
13 202212
14 202011
15 20219
16 20236
17 20204
18 20231
19 20231

About Massimo Ganassi

Massimo Ganassi is a scholar working on Molecular Biology, Surgery, Genetics, Neurology and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 893 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (12 papers), RNA Research and Splicing (5 papers), Tissue Engineering and Regenerative Medicine (4 papers), Congenital heart defects research (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Ubiquitin and proteasome pathways (2 papers), Heat shock proteins research (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Aging (31 citations), Genetics (112 citations), Cell Biology (169 citations), Molecular Biology (702 citations) and Neurology (104 citations). Massimo Ganassi has collaborated with scholars based in United Kingdom, Italy and France. Frequent co-authors include Peter S. Zammit, Sara Badodi, Simon M. Hughes, Yaniv Hinits, Huascar Pedro Ortuste Quiroga, Ilaria Bigi, Serena Carra, Cristina Cereda, Samuel J. Seguin and Angelo Poletti. Their work appears in journals such as eLife, Nature Communications, Human Molecular Genetics, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms and Redox Biology.

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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