Andrea Pellacani
- Molecular Biology top 10%
- Genetics top 2%
- Immunology top 10%
- Pathology and Forensic Medicine top 5%
- Rheumatology top 5%
- Co-authors
- Mark A. PerrellaMassimo CugnoMarco CicardiJuerg NussbergerC AmstutzPhilippe WieselShaw‐Fang YetLauren C. Foster
- Topics
- Orthopaedic implants and arthroplasty (6 papers)Heme Oxygenase-1 and Carbon Monoxide (5 papers)HER2/EGFR in Cancer Research (4 papers)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Andrea Pellacani
45 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 1.0k
- Genetics 588
- Immunology 342
- Pathology and Forensic Medicine 257
- Rheumatology 243
Countries citing papers authored by Andrea Pellacani
This map shows the geographic impact of Andrea Pellacani'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 Andrea Pellacani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Pellacani more than expected).
Fields of papers citing papers by Andrea Pellacani
This network shows the impact of papers produced by Andrea Pellacani. 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 Andrea Pellacani. The network helps show where Andrea Pellacani may publish in the future.
Co-authorship network of co-authors of Andrea Pellacani
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Pellacani. A scholar is included among the top collaborators of Andrea Pellacani 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 Andrea Pellacani. Andrea Pellacani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | Evaluation of the one-year efficacy, safety and glycaemic effects of evolocumab (AMG 145) in 4,802 subjects with, at high risk for, or at low risk for, diabetes mellitus | 6 |
| 6 | Efficacy of one year of treatment with the PCSK9 inhibitor evolocumab (AMG 145) in 4,802 subjects with or without type 2 diabetes | 0 |
| 7 | 16 | |
| 8 | 15 | |
| 9 | 42 | |
| 10 | 16 | |
| 11 | 29 | |
| 12 | 84 | |
| 13 | 107 | |
| 14 | 45 | |
| 15 | 36 | |
| 16 | 15 | |
| 17 | 53 | |
| 18 | Plasma bradykinin in angio-oedemabreakdown → | 553 |
| 19 | 65 | |
| 20 | 24 |
About Andrea Pellacani
Andrea Pellacani is a scholar working on Genetics, Biochemistry and Oncology, having authored 48 papers that have together received 2.1k indexed citations. Recurring topics across this work include Orthopaedic implants and arthroplasty (6 papers), Heme Oxygenase-1 and Carbon Monoxide (5 papers) and HER2/EGFR in Cancer Research (4 papers). The work is most often cited by research in Genetics (588 citations), Critical Care and Intensive Care Medicine (105 citations) and Immunology (342 citations). Andrea Pellacani has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Mark A. Perrella, Massimo Cugno, Marco Cicardi, Juerg Nussberger, C Amstutz, Philippe Wiesel, Shaw‐Fang Yet, Lauren C. Foster, Jürg Nussberger and Michael T. Chin. Their work appears in journals such as The Lancet, Journal of Biological Chemistry and Circulation.
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.