Claudia Pazzagli
-
- Axon Guidance and Neuronal Signaling 2
-
- Hippo pathway signaling and YAP/TAZ 2
-
- Protein Tyrosine Phosphatases 5
- Ubiquitin and proteasome pathways 2
- PI3K/AKT/mTOR signaling in cancer 2
- Glycosylation and Glycoproteins Research 1
- Protein Kinase Regulation and GTPase Signaling 1
-
- Alkaline Phosphatase Research Studies 2
- Co-authors
- Elena B. PasqualeAndreas H. ZischVincent DodeletCraig A. HauserAndrew L. FreemanM. SchnellerJeffrey W. SmithAndrea Berti
- Journals
- FEBS Letters (2 papers)International Journal of Cancer (1 paper)Neurochemical Research (1 paper)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Claudia Pazzagli
8 papers receiving 369 citations
Peers
Comparison fields: 5 of 51
- Cellular and Molecular Neuroscience 136
- Cell Biology 101
- Immunology and Allergy 27
- Molecular Biology 284
- Developmental Neuroscience 13
Countries citing papers authored by Claudia Pazzagli
This map shows the geographic impact of Claudia Pazzagli'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 Claudia Pazzagli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia Pazzagli more than expected).
Fields of papers citing papers by Claudia Pazzagli
This network shows the impact of papers produced by Claudia Pazzagli. 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 Claudia Pazzagli. The network helps show where Claudia Pazzagli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Claudia Pazzagli, 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 | 2000 | 106 | |
| 2 | 1999 | 92 | |
| 3 | Elevated cyclins and cyclin-dependent kinase activity in the rhabdomyosarcoma cell line RD. | 1998 | 45 |
| 4 | 1996 | 1 | |
| 5 | 1994 | 1 | |
| 6 | 1993 | 43 | |
| 7 | 1992 | 58 | |
| 8 | 1992 | 29 |
About Claudia Pazzagli
Claudia Pazzagli is a scholar working on Cell Biology, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Analytical Chemistry and Molecular Biology, having authored 8 papers that have together received 375 indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (5 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Ubiquitin and proteasome pathways (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Alkaline Phosphatase Research Studies (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (136 citations), Cell Biology (101 citations), Immunology and Allergy (27 citations), Molecular Biology (284 citations) and Developmental Neuroscience (13 citations). Claudia Pazzagli has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Elena B. Pasquale, Andreas H. Zisch, Vincent Dodelet, Craig A. Hauser, Andrew L. Freeman, M. Schneller, Jeffrey W. Smith, Andrea Berti, Giovanni Raugei and Erkki Ruoslahti. Their work appears in journals such as FEBS Letters, International Journal of Cancer, Neurochemical Research, Oncogene and Journal of Biological 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.