Sara Santaniello
- Molecular Biology
- Genetics top 10%
- Biomedical Engineering
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Co-authors
- Margherita MaioliCarlo VenturaSara CrucianiSalvatore RinaldiVania FontaniGianfranco PigliaruAlessandro CastagnaValentina Basoli
- Topics
- Pluripotent Stem Cells Research (15 papers)Planarian Biology and Electrostimulation (8 papers)Mesenchymal stem cell research (7 papers)
- Cited by
- RehabilitationGeneticsBiophysics
- Journals
- CellPLoS ONEScientific Reports
- Partner nations
- ItalyAustriaUnited States
In The Last Decade
Sara Santaniello
25 papers receiving 871 citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 408
- Genetics 150
- Biomedical Engineering 147
- Cellular and Molecular Neuroscience 138
- Physiology 132
Countries citing papers authored by Sara Santaniello
This map shows the geographic impact of Sara Santaniello'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 Sara Santaniello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Santaniello more than expected).
Fields of papers citing papers by Sara Santaniello
This network shows the impact of papers produced by Sara Santaniello. 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 Sara Santaniello. The network helps show where Sara Santaniello may publish in the future.
Co-authorship network of co-authors of Sara Santaniello
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Santaniello. A scholar is included among the top collaborators of Sara Santaniello 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 Sara Santaniello. Sara Santaniello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 5 | |
| 3 | 11 | |
| 4 | 132 | |
| 5 | 6 | |
| 6 | 20 | |
| 7 | 22 | |
| 8 | 51 | |
| 9 | 4 | |
| 10 | 26 | |
| 11 | 63 | |
| 12 | 40 | |
| 13 | 37 | |
| 14 | 41 | |
| 15 | Human Stem Cell Exposure to Developmental Stage Zebrafish Extracts: a Novel Strategy for Tuning Stemness and Senescence Patterning | 7 |
| 16 | 49 | |
| 17 | 35 | |
| 18 | 65 | |
| 19 | 68 | |
| 20 | 44 |
About Sara Santaniello
Sara Santaniello is a scholar working on Genetics, Transplantation and Endocrine and Autonomic Systems, having authored 25 papers that have together received 897 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (15 papers), Planarian Biology and Electrostimulation (8 papers) and Mesenchymal stem cell research (7 papers). The work is most often cited by research in Rehabilitation (103 citations), Genetics (150 citations) and Biophysics (51 citations). Sara Santaniello has collaborated with scholars based in Italy, Austria and United States. Frequent co-authors include Margherita Maioli, Carlo Ventura, Sara Cruciani, Salvatore Rinaldi, Vania Fontani, Gianfranco Pigliaru, Alessandro Castagna, Valentina Basoli, Emanuela Bellu and Alessandro Delitala. Their work appears in journals such as Cell, PLoS ONE and Scientific Reports.
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.