Addolorata Pisconti
- Molecular Biology top 10%
- Physiology top 5%
- Cell Biology top 10%
- Surgery
- Epidemiology
- Co-authors
- Hugo C. OlguínSestina FalconeEmilio ClementiBradley B. OlwinSalvador MoncadaSilvia BrunelliLetizia PalombaCristina Tonello
- Topics
- Muscle Physiology and Disorders (14 papers)Mesenchymal stem cell research (6 papers)Tissue Engineering and Regenerative Medicine (5 papers)
- Cited by
- AgingPhysiologyMolecular Biology
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaThe Journal of Cell Biology
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Addolorata Pisconti
26 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 819
- Physiology 396
- Cell Biology 190
- Surgery 168
- Epidemiology 112
Countries citing papers authored by Addolorata Pisconti
This map shows the geographic impact of Addolorata Pisconti'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 Addolorata Pisconti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Addolorata Pisconti more than expected).
Fields of papers citing papers by Addolorata Pisconti
This network shows the impact of papers produced by Addolorata Pisconti. 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 Addolorata Pisconti. The network helps show where Addolorata Pisconti may publish in the future.
Co-authorship network of co-authors of Addolorata Pisconti
This figure shows the co-authorship network connecting the top 25 collaborators of Addolorata Pisconti. A scholar is included among the top collaborators of Addolorata Pisconti 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 Addolorata Pisconti. Addolorata Pisconti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 21 | |
| 7 | 16 | |
| 8 | 1 | |
| 9 | 40 | |
| 10 | 83 | |
| 11 | 37 | |
| 12 | 33 | |
| 13 | 36 | |
| 14 | Syndecans in skeletal muscle development, regeneration and homeostasis. | 33 |
| 15 | 99 | |
| 16 | 15 | |
| 17 | 408 | |
| 18 | 20 | |
| 19 | 21 | |
| 20 | 14 |
About Addolorata Pisconti
Addolorata Pisconti is a scholar working on Genetics, Cell Biology and Rehabilitation, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (14 papers), Mesenchymal stem cell research (6 papers) and Tissue Engineering and Regenerative Medicine (5 papers). The work is most often cited by research in Aging (34 citations), Physiology (396 citations) and Molecular Biology (819 citations). Addolorata Pisconti has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Hugo C. Olguín, Sestina Falcone, Emilio Clementi, Bradley B. Olwin, Salvador Moncada, Silvia Brunelli, Letizia Palomba, Cristina Tonello, Mara Fiorani and Valeria Cozzi. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Cell Biology.
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.