Daniela Cesselli
Impact in
- Genetics top 1%
- Mesenchymal stem cell research
- Cancer Research top 2%
- MicroRNA in disease regulation
Papers in
-
- Extracellular vesicles in disease 12
- Genetics 31
- Mesenchymal stem cell research 16
- Glioma Diagnosis and Treatment 15
- Co-authors
- Antonio Paolo Beltrami (64 shared papers)Carla Di Loreto (26 shared papers)Carlo Alberto Beltrami (26 shared papers)Annarosa Leri (4 shared papers)Piero Anversa (4 shared papers)Jan Kajstura (3 shared papers)Costanza Emanueli (8 shared papers)Rajesh Katare (7 shared papers)
- Journals
- Cancers (8 papers)PLoS ONE (6 papers)Circulation Research (5 papers)International Journal of Molecular Sciences (4 papers)Stem Cells (3 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Daniela Cesselli
108 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 134
- Genetics 952
- Cancer Research 873
- Molecular Biology 2.5k
- Biomaterials 346
- Cardiology and Cardiovascular Medicine 554
Countries citing papers authored by Daniela Cesselli
This map shows the geographic impact of Daniela Cesselli'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 Daniela Cesselli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Cesselli more than expected).
Fields of papers citing papers by Daniela Cesselli
This network shows the impact of papers produced by Daniela Cesselli. 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 Daniela Cesselli. The network helps show where Daniela Cesselli may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Cesselli, 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 320 | |
| 2 | 2001 | 314 | |
| 3 | 2011 | 281 | |
| 4 | 2001 | 257 | |
| 5 | 2010 | 227 | |
| 6 | 2009 | 212 | |
| 7 | 2017 | 148 | |
| 8 | 2016 | 145 | |
| 9 | 2016 | 128 | |
| 10 | 2017 | 122 | |
| 11 | 2016 | 106 | |
| 12 | 2015 | 104 | |
| 13 | 2015 | 103 | |
| 14 | 2011 | 101 | |
| 15 | 2009 | 101 | |
| 16 | 2018 | 98 | |
| 17 | 2017 | 81 | |
| 18 | 2012 | 80 | |
| 19 | 2016 | 61 | |
| 20 | 2012 | 54 |
About Daniela Cesselli
Daniela Cesselli is a scholar working on Molecular Biology, Genetics, Cancer Research, Surgery and Oncology, having authored 110 papers that have together received 4.7k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (16 papers), Glioma Diagnosis and Treatment (15 papers), Cancer Cells and Metastasis (14 papers), Extracellular vesicles in disease (12 papers), Tissue Engineering and Regenerative Medicine (10 papers), MicroRNA in disease regulation (9 papers), Autophagy in Disease and Therapy (7 papers) and Cancer Genomics and Diagnostics (7 papers). The work is most often cited by research in Genetics (952 citations), Cancer Research (873 citations), Molecular Biology (2.5k citations), Biomaterials (346 citations) and Cardiology and Cardiovascular Medicine (554 citations). Daniela Cesselli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Antonio Paolo Beltrami, Carla Di Loreto, Carlo Alberto Beltrami, Annarosa Leri, Piero Anversa, Jan Kajstura, Costanza Emanueli, Rajesh Katare, Michela Bulfoni and Bernardo Nadal‐Ginard. Their work appears in journals such as Cancers, PLoS ONE, Circulation Research, International Journal of Molecular Sciences and Stem Cells.
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.