Alessandra Pattarozzi
- Molecular Biology top 10%
- Oncology top 5%
- Genetics top 2%
- Epidemiology top 10%
- Cancer Research top 5%
- Co-authors
- Tullio FlorioFederica BarbieriAdriana BajettoAntonio DagaRoberto WürthMonica GattiAlessandro CorsaroGianluigi Zona
- Topics
- Cancer Cells and Metastasis (9 papers)Chemokine receptors and signaling (9 papers)Pituitary Gland Disorders and Treatments (8 papers)
- Cited by
- GeneticsOncologyCancer Research
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Alessandra Pattarozzi
50 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 1.0k
- Oncology 815
- Genetics 396
- Epidemiology 371
- Cancer Research 329
Countries citing papers authored by Alessandra Pattarozzi
This map shows the geographic impact of Alessandra Pattarozzi'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 Alessandra Pattarozzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandra Pattarozzi more than expected).
Fields of papers citing papers by Alessandra Pattarozzi
This network shows the impact of papers produced by Alessandra Pattarozzi. 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 Alessandra Pattarozzi. The network helps show where Alessandra Pattarozzi may publish in the future.
Co-authorship network of co-authors of Alessandra Pattarozzi
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandra Pattarozzi. A scholar is included among the top collaborators of Alessandra Pattarozzi 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 Alessandra Pattarozzi. Alessandra Pattarozzi 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 | 9 | |
| 3 | 19 | |
| 4 | 7 | |
| 5 | 28 | |
| 6 | 26 | |
| 7 | 19 | |
| 8 | 48 | |
| 9 | 7 | |
| 10 | 34 | |
| 11 | 114 | |
| 12 | 88 | |
| 13 | 39 | |
| 14 | 32 | |
| 15 | 46 | |
| 16 | 35 | |
| 17 | 51 | |
| 18 | 44 | |
| 19 | 31 | |
| 20 | 12 |
About Alessandra Pattarozzi
Alessandra Pattarozzi is a scholar working on Genetics, Oncology and Endocrinology, Diabetes and Metabolism, having authored 51 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), Chemokine receptors and signaling (9 papers) and Pituitary Gland Disorders and Treatments (8 papers). The work is most often cited by research in Genetics (396 citations), Oncology (815 citations) and Cancer Research (329 citations). Alessandra Pattarozzi has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Tullio Florio, Federica Barbieri, Adriana Bajetto, Antonio Daga, Roberto Würth, Monica Gatti, Alessandro Corsaro, Gianluigi Zona, Carola Porcile and Gennaro Schettini. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Scientific Reports.
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.