N. Ferrara
- Molecular Biology top 2%
- Nephrology top 0.5%
- Immunology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Cancer Research top 2%
- Co-authors
- Hans-Peter GerberVera EreminaSusan E. QuagginAndrás NagyJody J. HaighYamato KikkawaManish M. SoodJeffrey H. Miner
- Topics
- Angiogenesis and VEGF in Cancer (8 papers)Cancer, Hypoxia, and Metabolism (3 papers)Renal Diseases and Glomerulopathies (3 papers)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
N. Ferrara
20 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 2.5k
- Nephrology 1.0k
- Immunology 810
- Pulmonary and Respiratory Medicine 783
- Cancer Research 746
Countries citing papers authored by N. Ferrara
This map shows the geographic impact of N. Ferrara'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 N. Ferrara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Ferrara more than expected).
Fields of papers citing papers by N. Ferrara
This network shows the impact of papers produced by N. Ferrara. 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 N. Ferrara. The network helps show where N. Ferrara may publish in the future.
Co-authorship network of co-authors of N. Ferrara
This figure shows the co-authorship network connecting the top 25 collaborators of N. Ferrara. A scholar is included among the top collaborators of N. Ferrara 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 N. Ferrara. N. Ferrara 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 | 25 | |
| 3 | 71 | |
| 4 | 396 | |
| 5 | 226 | |
| 6 | VEGF Inhibition and Renal Thrombotic Microangiopathybreakdown → | 1116 |
| 7 | 40 | |
| 8 | 28 | |
| 9 | 42 | |
| 10 | Glomerular-specific alterations of VEGF-A expression lead to distinct congenital and acquired renal diseasesbreakdown → | 1011 |
| 11 | 205 | |
| 12 | 43 | |
| 13 | Role of vascular endothelial growth factor in the regulation of angiogenesisbreakdown → | 613 |
| 14 | 56 | |
| 15 | Vascular endothelial growth factor is essential for corpus luteum angiogenesisbreakdown → | 513 |
| 16 | 218 | |
| 17 | 169 | |
| 18 | 246 | |
| 19 | 22 | |
| 20 | 30 |
About N. Ferrara
N. Ferrara is a scholar working on Nephrology, Reproductive Medicine and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 5.1k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (8 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Renal Diseases and Glomerulopathies (3 papers). The work is most often cited by research in Nephrology (1.0k citations), Obstetrics and Gynecology (420 citations) and Cancer Research (746 citations). N. Ferrara has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Hans-Peter Gerber, Vera Eremina, Susan E. Quaggin, András Nagy, Jody J. Haigh, Yamato Kikkawa, Manish M. Sood, Jeffrey H. Miner, Ginette Lajoie and Jolanta Kowalewska. Their work appears in journals such as Nature, New England Journal of Medicine 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.