Carlo Ventura

5.6k citations
147 papers · 4.3k indexed · h-index 38
Topics
Mesenchymal stem cell research (29 papers)Pluripotent Stem Cells Research (23 papers)Tissue Engineering and Regenerative Medicine (22 papers)

In The Last Decade

Carlo Ventura

145 papers receiving 4.2k citations

Peers

Carlo Ventura
Comparison fields: 5 of 147
  • Molecular Biology 1.9k
  • Surgery 1.1k
  • Genetics 1.0k
  • Cellular and Molecular Neuroscience 578
  • Physiology 515
Replace Satoshi Kuroda with:
Satoshi Kuroda Japan
Margherita Maioli Italy
Cory J. Xian Australia
Alexander Birbrair United States
Ikuo Morita Japan
Xijing He China
Shinn‐Zong Lin Taiwan
Shiang Y. Lim Australia
Gerald Brandacher United States
Mihaela Gherghiceanu Romania
Carlo Ventura relative to Satoshi Kuroda Japan Satoshi Kuroda's profile →
Citations per field
00.5×1.5×
Satoshi Kuroda · 1×
Citations per year

Countries citing papers authored by Carlo Ventura

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Carlo Ventura

This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Ventura. A scholar is included among the top collaborators of Carlo Ventura based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carlo Ventura. Carlo Ventura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 5
3 5
4 12
5 10
6 6
7 32
8
Transcultural Perspective on Consciousness: A Bridge Between Anthropology, Medicine and Physics
3
9
Human Stem Cell Exposure to Developmental Stage Zebrafish Extracts: a Novel Strategy for Tuning Stemness and Senescence Patterning
7
10 24
11 98
12 49
13 21
14 44
15 57
16 58
17 178
18 34
19 16
20 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) and Tissue Engineering and Regenerative Medicine (22 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.

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