Silvia Munari
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- Sphingolipid Metabolism and Signaling 4
- RNA Interference and Gene Delivery 3
- Advanced biosensing and bioanalysis techniques 3
- Genetics 7
- Mesenchymal stem cell research 7
- Co-authors
- Ornella Parolini (9 shared papers)Elsa Vertua (9 shared papers)Marta Magatti (7 shared papers)Georg S. Wengler (2 shared papers)Lucia Gibelli (1 shared paper)Maddalena Caruso (2 shared papers)Antonietta Rosa Silini (5 shared papers)Giulio Cabrini (10 shared papers)
In The Last Decade
Silvia Munari
20 papers receiving 973 citations
Peers
Comparison fields: 5 of 76
- Genetics 413
- Cancer Research 191
- Surgery 290
- Radiology, Nuclear Medicine and Imaging 149
- Obstetrics and Gynecology 44
Countries citing papers authored by Silvia Munari
This map shows the geographic impact of Silvia Munari'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 Silvia Munari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Munari more than expected).
Fields of papers citing papers by Silvia Munari
This network shows the impact of papers produced by Silvia Munari. 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 Silvia Munari. The network helps show where Silvia Munari may publish in the future.
Co-authors
The 25 scholars most cited alongside Silvia Munari, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 172 | |
| 2 | 2017 | 138 | |
| 3 | 2009 | 110 | |
| 4 | 2016 | 98 | |
| 5 | 2014 | 94 | |
| 6 | 2012 | 72 | |
| 7 | 2020 | 60 | |
| 8 | 2017 | 40 | |
| 9 | 2018 | 38 | |
| 10 | 2016 | 28 | |
| 11 | 2017 | 28 | |
| 12 | 2020 | 20 | |
| 13 | 2017 | 19 | |
| 14 | 2014 | 19 | |
| 15 | 2021 | 17 | |
| 16 | 2018 | 15 | |
| 17 | 2021 | 8 | |
| 18 | 2018 | 8 | |
| 19 | Neoglycoconjugates Derived from Deoxynojirimycin as Possible Therapeutic Agents for Cystic Fibrosis Lung Disease, by Modulation of the Sphingolipid Metabolism | 2016 | 2 |
| 20 | 2023 | 1 |
About Silvia Munari
Silvia Munari is a scholar working on Molecular Biology, Genetics, Surgery, Pulmonary and Respiratory Medicine and Cancer Research, having authored 21 papers that have together received 987 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (7 papers), Cystic Fibrosis Research Advances (4 papers), MicroRNA in disease regulation (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), Neonatal Respiratory Health Research (4 papers), Sphingolipid Metabolism and Signaling (4 papers), RNA Interference and Gene Delivery (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Genetics (413 citations), Cancer Research (191 citations), Surgery (290 citations), Radiology, Nuclear Medicine and Imaging (149 citations) and Obstetrics and Gynecology (44 citations). Silvia Munari has collaborated with scholars based in Italy, Belgium and Australia. Frequent co-authors include Ornella Parolini, Elsa Vertua, Marta Magatti, Georg S. Wengler, Lucia Gibelli, Maddalena Caruso, Antonietta Rosa Silini, Giulio Cabrini, Anna Tamanini and Alberto Albertini. Their work appears in journals such as Cell Transplantation, Frontiers in Pharmacology, Biomedicines, Stem Cell Research & Therapy and European Journal of Medicinal Chemistry.
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.