Benedetto Sacchetti
- Genetics top 0.2%
- Mesenchymal stem cell research 16
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation 9
- Urology top 2%
- Oncology top 2%
- Cancer Cells and Metastasis 5
- Bone health and treatments 2
- Molecular Biology top 5%
- Fibroblast Growth Factor Research 2
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- Tissue Engineering and Regenerative Medicine 3
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- Neonatal Respiratory Health Research 3
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- Oral and Maxillofacial Pathology 3
- Co-authors
- Paolo BiancoMara RiminucciEnrico TagliaficoPamela Gehron RobeyAlessia FunariStefano FerrariIsabella SaggioStefano Michienzi
- Cited by
- GeneticsHematologyUrology
- Journals
- Cell (2 papers)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Benedetto Sacchetti
33 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Genetics 1.9k
- Hematology 583
- Urology 242
- Oncology 993
- Molecular Biology 1.6k
Countries citing papers authored by Benedetto Sacchetti
This map shows the geographic impact of Benedetto Sacchetti'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 Benedetto Sacchetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benedetto Sacchetti more than expected).
Fields of papers citing papers by Benedetto Sacchetti
This network shows the impact of papers produced by Benedetto Sacchetti. 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 Benedetto Sacchetti. The network helps show where Benedetto Sacchetti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Benedetto Sacchetti, 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 | 2019 | 6 | |
| 2 | 2018 | 9 | |
| 3 | CAR-T cells: the long and winding road to solid tumorsbreakdown → | 2018 | 329 |
| 4 | 2017 | 10 | |
| 5 | 2017 | 8 | |
| 6 | 2016 | 15 | |
| 7 | 2016 | 321 | |
| 8 | 2014 | 34 | |
| 9 | 2014 | 90 | |
| 10 | 2014 | 10 | |
| 11 | 2013 | 24 | |
| 12 | 2012 | 18 | |
| 13 | 2012 | 25 | |
| 14 | 2009 | 70 | |
| 15 | 2009 | 7 | |
| 16 | 2008 | 52 | |
| 17 | Self-Renewing Osteoprogenitors in Bone Marrow Sinusoids Can Organize a Hematopoietic Microenvironmentbreakdown → | 2007 | 1678 |
| 18 | Pericytes of human skeletal muscle are myogenic precursors distinct from satellite cellsbreakdown → | 2007 | 741 |
| 19 | 2007 | 56 | |
| 20 | 2002 | 18 |
About Benedetto Sacchetti
Benedetto Sacchetti is a scholar working on Genetics, Hematology and Oral Surgery, having authored 33 papers that have together received 3.9k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (16 papers), Hematopoietic Stem Cell Transplantation (9 papers), Cancer Cells and Metastasis (5 papers), Tissue Engineering and Regenerative Medicine (3 papers), Neonatal Respiratory Health Research (3 papers), Oral and Maxillofacial Pathology (3 papers), Bone health and treatments (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Genetics (1.9k citations), Hematology (583 citations) and Urology (242 citations). Benedetto Sacchetti has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Paolo Bianco, Mara Riminucci, Enrico Tagliafico, Pamela Gehron Robey, Alessia Funari, Stefano Ferrari, Isabella Saggio, Stefano Michienzi, Stefania Piersanti and Silvia Di Cesare. Their work appears in journals such as Cell, SHILAP Revista de lepidopterología and PLoS ONE.
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.