Carlo Ventura
- Genetics top 0.5%
- Mesenchymal stem cell research 29
- Rehabilitation top 2%
-
- Neuropeptides and Animal Physiology 20
- Molecular Biology top 5%
- Pluripotent Stem Cells Research 23
- Planarian Biology and Electrostimulation 14
- Receptor Mechanisms and Signaling 12
- Congenital heart defects research 10
- Biophysics top 2%
-
- Tissue Engineering and Regenerative Medicine 22
-
- Adipose Tissue and Metabolism 12
- Co-authors
- Margherita MaioliCarlo TremoladaFranca BianchiSara SantanielloGianfranco PintusGianandrea PasquinelliCarlo GuarnieriClaudia Cavallini
- Journals
- Cell (1 paper)Journal of Biological Chemistry (10 papers)Journal of the American College of Cardiology (3 papers)
- Partner nations
- ItalyUnited StatesCzechia
In The Last Decade
Carlo Ventura
145 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 147
- Genetics 1.0k
- Rehabilitation 218
- Cellular and Molecular Neuroscience 578
- Molecular Biology 1.9k
- Biophysics 147
Countries citing papers authored by Carlo Ventura
This map shows the geographic impact of Carlo Ventura'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 Carlo Ventura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Ventura more than expected).
Fields of papers citing papers by Carlo Ventura
This network shows the impact of papers produced by Carlo Ventura. 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 Carlo Ventura. The network helps show where Carlo Ventura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carlo Ventura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 8 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 12 | |
| 5 | 2019 | 10 | |
| 6 | 2019 | 6 | |
| 7 | 2018 | 32 | |
| 8 | Transcultural Perspective on Consciousness: A Bridge Between Anthropology, Medicine and Physics | 2015 | 3 |
| 9 | Human Stem Cell Exposure to Developmental Stage Zebrafish Extracts: a Novel Strategy for Tuning Stemness and Senescence Patterning | 2014 | 7 |
| 10 | 2014 | 24 | |
| 11 | 2013 | 98 | |
| 12 | 2011 | 49 | |
| 13 | 2011 | 21 | |
| 14 | 2010 | 44 | |
| 15 | 2009 | 57 | |
| 16 | 2007 | 58 | |
| 17 | 2004 | 178 | |
| 18 | 1991 | 34 | |
| 19 | 1991 | 16 | |
| 20 | 1985 | 11 |
About Carlo Ventura
Carlo Ventura is a scholar working on Genetics, Cellular and Molecular Neuroscience and Molecular Biology, having authored 147 papers that have together received 4.3k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (29 papers), Pluripotent Stem Cells Research (23 papers), Tissue Engineering and Regenerative Medicine (22 papers), Neuropeptides and Animal Physiology (20 papers), Planarian Biology and Electrostimulation (14 papers), Adipose Tissue and Metabolism (12 papers), Receptor Mechanisms and Signaling (12 papers) and Congenital heart defects research (10 papers). The work is most often cited by research in Genetics (1.0k citations), Rehabilitation (218 citations) and Cellular and Molecular Neuroscience (578 citations). Carlo Ventura has collaborated with scholars based in Italy, United States and Czechia. Frequent co-authors include Margherita Maioli, Carlo Tremolada, Franca Bianchi, Sara Santaniello, Gianfranco Pintus, Gianandrea Pasquinelli, Carlo Guarnieri, Claudia Cavallini, Sara Cruciani and Silvia Cantoni. Their work appears in journals such as Cell, Journal of Biological Chemistry and Journal of the American College of Cardiology.
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.