Gennaro De Rosa
- Co-authors
- Bruno RotoliCarmine SelleriMarco PicardiGaetano LombardiMargherita MatarazzoSalvatore GarofaloBianca SerioLibuse Tauchmanovà
- Topics
- Inflammasome and immune disorders (3 papers)Bone health and treatments (2 papers)Atherosclerosis and Cardiovascular Diseases (2 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismInternational Journal of Molecular SciencesThe American Journal of Medicine
- Partner nations
- ItalyKazakhstanUnited States
In The Last Decade
Gennaro De Rosa
15 papers receiving 304 citations
Peers
Comparison fields: 5 of 56
- Oncology 101
- Hepatology 89
- Hematology 62
- Epidemiology 54
- Genetics 53
Countries citing papers authored by Gennaro De Rosa
This map shows the geographic impact of Gennaro De Rosa'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 Gennaro De Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gennaro De Rosa more than expected).
Fields of papers citing papers by Gennaro De Rosa
This network shows the impact of papers produced by Gennaro De Rosa. 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 Gennaro De Rosa. The network helps show where Gennaro De Rosa may publish in the future.
Co-authorship network of co-authors of Gennaro De Rosa
This figure shows the co-authorship network connecting the top 25 collaborators of Gennaro De Rosa. A scholar is included among the top collaborators of Gennaro De Rosa 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 Gennaro De Rosa. Gennaro De Rosa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 18 | |
| 7 | 2 | |
| 8 | Accelerated bone mass senescence after hematopoietic stem cell transplantation. | 18 |
| 9 | 26 | |
| 10 | 17 | |
| 11 | 8 | |
| 12 | Bond, H.M. et al. Early hematopoietic zinc finger protein (EHZF), the human homolog to mouse Evi3, is highly expressed in primitive human hematopoietic cells. Blood 103, 2062-2070 | 9 |
| 13 | 27 | |
| 14 | 58 | |
| 15 | Liver nodular regenerative hyperplasia after bone marrow transplant. | 11 |
| 16 | 96 |
About Gennaro De Rosa
Gennaro De Rosa is a scholar working on Internal Medicine, Nephrology and Hematology, having authored 16 papers that have together received 314 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (3 papers), Bone health and treatments (2 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). The work is most often cited by research in Hepatology (89 citations), Orthopedics and Sports Medicine (50 citations) and Hematology (62 citations). Gennaro De Rosa has collaborated with scholars based in Italy, Kazakhstan and United States. Frequent co-authors include Bruno Rotoli, Carmine Selleri, Marco Picardi, Gaetano Lombardi, Margherita Matarazzo, Salvatore Garofalo, Bianca Serio, Libuse Tauchmanovà, Federico Chiurazzi and Annamaria Colao. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Molecular Sciences and The American Journal of Medicine.
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.