Paola Stella
- Endocrinology, Diabetes and Metabolism top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Nutrition and Dietetics top 5%
- Genetics
- Co-authors
- Giuseppe BianchiPaolo ManuntaDaniele CusiChiara LanzaniCristina BarlassinaRodolfo RiveraLorena CitterioLaura Zagato
- Topics
- Hormonal Regulation and Hypertension (6 papers)Ion Transport and Channel Regulation (5 papers)Renin-Angiotensin System Studies (4 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Paola Stella
20 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 71
- Endocrinology, Diabetes and Metabolism 705
- Cardiology and Cardiovascular Medicine 676
- Molecular Biology 467
- Nutrition and Dietetics 181
- Genetics 153
Countries citing papers authored by Paola Stella
This map shows the geographic impact of Paola Stella'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 Paola Stella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Stella more than expected).
Fields of papers citing papers by Paola Stella
This network shows the impact of papers produced by Paola Stella. 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 Paola Stella. The network helps show where Paola Stella may publish in the future.
Co-authorship network of co-authors of Paola Stella
This figure shows the co-authorship network connecting the top 25 collaborators of Paola Stella. A scholar is included among the top collaborators of Paola Stella 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 Paola Stella. Paola Stella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 53 | |
| 3 | 125 | |
| 4 | 2 | |
| 5 | 44 | |
| 6 | 125 | |
| 7 | 13 | |
| 8 | 8 | |
| 9 | 116 | |
| 10 | 143 | |
| 11 | 119 | |
| 12 | Renal genetic mechanisms of essential hypertension. | 5 |
| 13 | 4 | |
| 14 | 417 | |
| 15 | 13 | |
| 16 | 2 | |
| 17 | 13 | |
| 18 | 11 | |
| 19 | Relations between hypertension and glomerulosclerosis in first-generation hybrid rats of the Milan strains. | 13 |
| 20 | Genetic polymorphism of Na-K cotransport in essential hypertension. | 1 |
About Paola Stella
Paola Stella is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (6 papers), Ion Transport and Channel Regulation (5 papers) and Renin-Angiotensin System Studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (705 citations), Cardiology and Cardiovascular Medicine (676 citations) and Pharmacology (137 citations). Paola Stella has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Giuseppe Bianchi, Paolo Manunta, Daniele Cusi, Chiara Lanzani, Cristina Barlassina, Rodolfo Rivera, Lorena Citterio, Laura Zagato, Marco Righetti and Chiara Troffa. Their work appears in journals such as The Lancet, Journal of the American College of Cardiology and Kidney International.
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.