Massimo Ganassi
Impact in
Papers in
-
- Muscle Physiology and Disorders 12
- RNA Research and Splicing 5
- Congenital heart defects research 3
- Heat shock proteins research 2
- Histone Deacetylase Inhibitors Research 2
- Genetics 3
- Co-authors
- Peter S. Zammit (11 shared papers)Sara Badodi (6 shared papers)Simon Meredith Hughes (5 shared papers)Huascar Pedro Ortuste Quiroga (3 shared papers)Yaniv Hinits (2 shared papers)Cristina Cereda (3 shared papers)Ilaria Bigi (3 shared papers)Serena Carra (3 shared papers)
- Journals
- eLife (2 papers)Cell Stress and Chaperones (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms (1 paper)Cancer Gene Therapy (1 paper)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Massimo Ganassi
20 papers receiving 966 citations
Peers
Comparison fields: 5 of 78
- Aging 32
- Genetics 120
- Cell Biology 180
- Molecular Biology 749
- Neurology 110
Countries citing papers authored by Massimo Ganassi
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
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.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 259 | |
| 2 | 2018 | 131 | |
| 3 | 2020 | 107 | |
| 4 | 2016 | 85 | |
| 5 | 2022 | 60 | |
| 6 | 2022 | 50 | |
| 7 | 2015 | 50 | |
| 8 | 2021 | 48 | |
| 9 | 2007 | 30 | |
| 10 | 2022 | 30 | |
| 11 | 2010 | 30 | |
| 12 | 2016 | 28 | |
| 13 | 2014 | 23 | |
| 14 | 2020 | 11 | |
| 15 | 2022 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2023 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2023 | 2 | |
| 20 | 2023 | 1 |
About Massimo Ganassi
Massimo Ganassi is a scholar working on Molecular Biology, Genetics, Rehabilitation, Physiology and Psychiatry and Mental health, having authored 22 papers that have together received 974 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), Heat shock proteins research (2 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Exercise and Physiological Responses (2 papers). The work is most often cited by research in Aging (32 citations), Genetics (120 citations), Cell Biology (180 citations), Molecular Biology (749 citations) and Neurology (110 citations). Massimo Ganassi has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Peter S. Zammit, Sara Badodi, Simon Meredith Hughes, Huascar Pedro Ortuste Quiroga, Yaniv Hinits, Cristina Cereda, Ilaria Bigi, Serena Carra, Angelo Poletti and Samuel J. Seguin. Their work appears in journals such as eLife, Cell Stress and Chaperones, Frontiers in Cell and Developmental Biology, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms and Cancer Gene 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.