Daniel Casellas
Impact in
- Nephrology top 2%
- Renal function and acid-base balance
- Chronic Kidney Disease and Diabetes
-
- Renin-Angiotensin System Studies
- Blood Pressure and Hypertension Studies
Papers in
-
- Renin-Angiotensin System Studies 17
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- Renal and Vascular Pathologies 11
- Electrolyte and hormonal disorders 5
- Co-authors
- L. C. Moore (7 shared papers)A Mimran (22 shared papers)L. Gabriel Navar (2 shared papers)Leon C. Moore (7 shared papers)Madeleine Dupont (12 shared papers)Pamela K. Carmines (4 shared papers)Adam Rich (3 shared papers)Bernard Jover (13 shared papers)
- Journals
- American Journal of Physiology-Renal Physiology (10 papers)Kidney International (5 papers)Journal of Hypertension (3 papers)Hypertension (3 papers)Bulletin of Mathematical Biology (2 papers)
- Partner nations
- FranceUnited StatesSweden
In The Last Decade
Daniel Casellas
60 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Nephrology 286
- Cardiology and Cardiovascular Medicine 502
- Physiology 449
- Physiology 54
- Transplantation 28
Countries citing papers authored by Daniel Casellas
This map shows the geographic impact of Daniel Casellas'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 Daniel Casellas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Casellas more than expected).
Fields of papers citing papers by Daniel Casellas
This network shows the impact of papers produced by Daniel Casellas. 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 Daniel Casellas. The network helps show where Daniel Casellas may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Casellas, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 124 | |
| 2 | 1990 | 113 | |
| 3 | 1999 | 78 | |
| 4 | 1990 | 70 | |
| 5 | 1981 | 63 | |
| 6 | 1985 | 61 | |
| 7 | Cyclosporine and the renin-angiotensin system. | 1991 | 49 |
| 8 | 2005 | 43 | |
| 9 | 1996 | 41 | |
| 10 | 1994 | 39 | |
| 11 | 1993 | 38 | |
| 12 | 1994 | 38 | |
| 13 | 1993 | 37 | |
| 14 | 2004 | 29 | |
| 15 | Direct assessment of renal microcirculatory dynamics. | 1986 | 26 |
| 16 | 2002 | 24 | |
| 17 | 1997 | 24 | |
| 18 | 1994 | 23 | |
| 19 | 1990 | 22 | |
| 20 | 1980 | 21 |
About Daniel Casellas
Daniel Casellas is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Physiology, Nephrology and Molecular Biology, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (17 papers), Nitric Oxide and Endothelin Effects (16 papers), Renal and Vascular Pathologies (11 papers), Chronic Kidney Disease and Diabetes (7 papers), Hormonal Regulation and Hypertension (7 papers), Electrolyte and hormonal disorders (5 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers) and Birth, Development, and Health (4 papers). The work is most often cited by research in Nephrology (286 citations), Cardiology and Cardiovascular Medicine (502 citations), Physiology (449 citations), Physiology (54 citations) and Transplantation (28 citations). Daniel Casellas has collaborated with scholars based in France, United States and Sweden. Frequent co-authors include L. C. Moore, A Mimran, L. Gabriel Navar, Leon C. Moore, Madeleine Dupont, Pamela K. Carmines, Adam Rich, Bernard Jover, L. Gabriel Navar and Abderraouf Hérizi. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Kidney International, Journal of Hypertension, Hypertension and Bulletin of Mathematical Biology.
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.