Daniela Cavallotti
Impact in
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
-
- Neuropeptides and Animal Physiology 6
- Neuroscience and Neuropharmacology Research 3
- Physiology 10
- Nitric Oxide and Endothelin Effects 3
- Co-authors
- Carlo Cavallotti (30 shared papers)Marco Artico (23 shared papers)Giuseppe Remuzzi (4 shared papers)Ariela Benigni (3 shared papers)Daniela Corna (3 shared papers)Carla Zoja (2 shared papers)Marina Noris (1 shared paper)Chiara Foglieni (1 shared paper)
In The Last Decade
Daniela Cavallotti
40 papers receiving 551 citations
Peers
Comparison fields: 5 of 75
- Nephrology 75
- Behavioral Neuroscience 38
- Biological Psychiatry 17
- Endocrine and Autonomic Systems 40
- Neurology 48
Countries citing papers authored by Daniela Cavallotti
This map shows the geographic impact of Daniela Cavallotti'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 Daniela Cavallotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Cavallotti more than expected).
Fields of papers citing papers by Daniela Cavallotti
This network shows the impact of papers produced by Daniela Cavallotti. 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 Daniela Cavallotti. The network helps show where Daniela Cavallotti may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Cavallotti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 138 | |
| 2 | Time course and localization of endothelin-1 gene expression in a model of renal disease progression. | 1997 | 50 |
| 3 | 2015 | 47 | |
| 4 | 2001 | 43 | |
| 5 | 2003 | 34 | |
| 6 | 1999 | 34 | |
| 7 | 1995 | 26 | |
| 8 | 1998 | 19 | |
| 9 | 2002 | 14 | |
| 10 | 2002 | 14 | |
| 11 | 2001 | 12 | |
| 12 | 2002 | 12 | |
| 13 | 1994 | 10 | |
| 14 | 2000 | 10 | |
| 15 | 2010 | 9 | |
| 16 | 2005 | 8 | |
| 17 | 2001 | 8 | |
| 18 | 1991 | 8 | |
| 19 | 2004 | 7 | |
| 20 | 2004 | 7 |
About Daniela Cavallotti
Daniela Cavallotti is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Pharmacology and Neurology, having authored 42 papers that have together received 567 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (6 papers), Neuropeptides and Animal Physiology (6 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Computational Drug Discovery Methods (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Neurosurgical Procedures and Complications (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Olfactory and Sensory Function Studies (3 papers). The work is most often cited by research in Nephrology (75 citations), Behavioral Neuroscience (38 citations), Biological Psychiatry (17 citations), Endocrine and Autonomic Systems (40 citations) and Neurology (48 citations). Daniela Cavallotti has collaborated with scholars based in Italy, Japan and Germany. Frequent co-authors include Carlo Cavallotti, Marco Artico, Giuseppe Remuzzi, Ariela Benigni, Daniela Corna, Carla Zoja, Marina Noris, Chiara Foglieni, Marta Todeschini and Nicola Pescosolido. Their work appears in journals such as Immunology Letters, Human Immunology, Clinical and Experimental Pharmacology and Physiology, Cytokine and Headache The Journal of Head and Face Pain.
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.