Caterina Mancusi
- Endocrinology, Diabetes and Metabolism top 10%
- Oncology
- Molecular Biology
- Epidemiology
- Pathology and Forensic Medicine
- Co-authors
- Poupak FallahiAlessandro AntonelliSilvia Martina FerrariGiorgio LiguoriFrancesca GalléGiuliana ValerioValeria Di OnofrioMichele Colaci
- Topics
- Chemokine receptors and signaling (4 papers)Hepatitis C virus research (3 papers)Cancer-related Molecular Pathways (3 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Caterina Mancusi
22 papers receiving 507 citations
Peers
Comparison fields: 5 of 83
- Endocrinology, Diabetes and Metabolism 130
- Oncology 113
- Molecular Biology 111
- Epidemiology 107
- Pathology and Forensic Medicine 74
Countries citing papers authored by Caterina Mancusi
This map shows the geographic impact of Caterina Mancusi'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 Caterina Mancusi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caterina Mancusi more than expected).
Fields of papers citing papers by Caterina Mancusi
This network shows the impact of papers produced by Caterina Mancusi. 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 Caterina Mancusi. The network helps show where Caterina Mancusi may publish in the future.
Co-authorship network of co-authors of Caterina Mancusi
This figure shows the co-authorship network connecting the top 25 collaborators of Caterina Mancusi. A scholar is included among the top collaborators of Caterina Mancusi 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 Caterina Mancusi. Caterina Mancusi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 10 | |
| 3 | 23 | |
| 4 | 1 | |
| 5 | 31 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 37 | |
| 10 | 27 | |
| 11 | 36 | |
| 12 | 44 | |
| 13 | 18 | |
| 14 | 3 | |
| 15 | 26 | |
| 16 | 11 | |
| 17 | 10 | |
| 18 | 81 | |
| 19 | 56 | |
| 20 | CXCL9 and CXCL11 Chemokines Modulation by Peroxisome Proliferator-Activated Receptor-{alpha} Agonists Secretion in Graves' and Normal Thyrocytes. J Clin Endocrinol Metab. | 10 |
About Caterina Mancusi
Caterina Mancusi is a scholar working on Hepatology, Oncology and Pathology and Forensic Medicine, having authored 22 papers that have together received 520 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (4 papers), Hepatitis C virus research (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (130 citations), Hepatology (41 citations) and Oncology (113 citations). Caterina Mancusi has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Poupak Fallahi, Alessandro Antonelli, Silvia Martina Ferrari, Giorgio Liguori, Francesca Gallé, Giuliana Valerio, Valeria Di Onofrio, Michele Colaci, Clodoveo Ferri and Ele Ferrannini. Their work appears in journals such as Nature Communications, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.
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.