Daniel Casellas

1.5k total citations
61 papers, 1.2k citations indexed

About

Daniel Casellas is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, Daniel Casellas has authored 61 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cardiology and Cardiovascular Medicine, 20 papers in Pulmonary and Respiratory Medicine and 18 papers in Physiology. Recurrent topics in Daniel Casellas's work include Renin-Angiotensin System Studies (19 papers), Nitric Oxide and Endothelin Effects (17 papers) and Renal and Vascular Pathologies (13 papers). Daniel Casellas is often cited by papers focused on Renin-Angiotensin System Studies (19 papers), Nitric Oxide and Endothelin Effects (17 papers) and Renal and Vascular Pathologies (13 papers). Daniel Casellas collaborates with scholars based in France, United States and Sweden. Daniel Casellas's co-authors include L. C. Moore, A Mimran, L. Gabriel Navar, Leon C. Moore, Madeleine Dupont, Pamela K. Carmines, Bernard Jover, Adam Rich, L. Gabriel Navar and Frederick J. Kaskel and has published in prestigious journals such as Circulation, Kidney International and The American Journal of Medicine.

In The Last Decade

Daniel Casellas

60 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Casellas France 21 522 447 303 269 232 61 1.2k
Armin Just Germany 23 688 1.3× 549 1.2× 279 0.9× 271 1.0× 372 1.6× 55 1.6k
Francisco J. Fenoy Spain 22 461 0.9× 376 0.8× 303 1.0× 299 1.1× 127 0.5× 45 1.3k
Angela Bäcker Germany 19 402 0.8× 370 0.8× 238 0.8× 119 0.4× 113 0.5× 59 857
Masahito Imanishi Japan 24 487 0.9× 212 0.5× 258 0.9× 328 1.2× 219 0.9× 73 1.4k
Anthony K. Cook United States 24 492 0.9× 590 1.3× 404 1.3× 200 0.7× 152 0.7× 43 1.4k
B. J. Tucker United States 23 401 0.8× 405 0.9× 375 1.2× 562 2.1× 299 1.3× 47 1.5k
W. H. Beierwaltes United States 19 458 0.9× 374 0.8× 253 0.8× 117 0.4× 138 0.6× 37 1.2k
David H. Sigmon United States 22 764 1.5× 670 1.5× 280 0.9× 127 0.5× 222 1.0× 27 1.4k
T. J. Opgenorth United States 16 1.4k 2.7× 400 0.9× 451 1.5× 166 0.6× 336 1.4× 32 1.9k
Miguel G. Salom Spain 19 594 1.1× 800 1.8× 275 0.9× 323 1.2× 119 0.5× 39 1.4k

Countries citing papers authored by Daniel Casellas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Casellas

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Casellas. A scholar is included among the top collaborators of Daniel Casellas 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 Daniel Casellas. Daniel Casellas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jover, Bernard, et al.. (2008). Renal function and structure in a rat model of arterial calcification and increased pulse pressure. American Journal of Physiology-Renal Physiology. 295(4). F1222–F1229. 6 indexed citations
2.
Casellas, Daniel, et al.. (2008). Contrasting effect of exercise and angiotensin II hypertension on in vivo and in vitro cardiac angiogenesis in rats. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 295(5). R1512–R1518. 20 indexed citations
3.
Casellas, Daniel, et al.. (2005). Cardiorenal abnormalities associated with high sodium intake: correction by spironolactone in rats. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 289(4). R1137–R1143. 18 indexed citations
4.
Casellas, Daniel & Leon C. Moore. (2003). The Juxtamedullary Nephron Preparation. Humana Press eBooks. 86. 413–428. 1 indexed citations
5.
Bribes, Estelle, Pierre Casellas, Hubert Vidal, D. Dussossoy, & Daniel Casellas. (2002). Peripheral Benzodiazepine Receptor Mapping in Rat Kidney. Effects of Angiotensin II-Induced Hypertension. Journal of the American Society of Nephrology. 13(1). 1–9. 24 indexed citations
6.
Casellas, Daniel, et al.. (2000). New Method for Imaging Innervation of the Renal Preglomerular Vasculature. Alterations in Hypertensive Rats. Microcirculation. 7(6). 429–437. 1 indexed citations
7.
Casellas, Daniel, et al.. (1997). Bosentan Prevents Preglomerular Alterations During Angiotensin II Hypertension. Hypertension. 30(6). 1613–1620. 24 indexed citations
8.
Casellas, Daniel & Pamela K. Carmines. (1996). Control of the renal microcirculation. Current Opinion in Nephrology & Hypertension. 5(1). 57–63. 20 indexed citations
9.
Casellas, Daniel, et al.. (1994). Nimodipine‐resistant tone in myogenically active preglomerular arteries of rat kidneys. Acta Physiologica Scandinavica. 152(3). 345–347. 3 indexed citations
10.
11.
Moore, Leon C., Adam Rich, & Daniel Casellas. (1994). Ascending myogenic autoregulation: Interactions between tubuloglomerular feedback and myogenic mechanisms. Bulletin of Mathematical Biology. 56(3). 391–410. 21 indexed citations
12.
Casellas, Daniel, Madeleine Dupont, Frederick J. Kaskel, Tadashi Inagami, & L. C. Moore. (1993). Direct visualization of renin-cell distribution in preglomerular vascular trees dissected from rat kidney. American Journal of Physiology-Renal Physiology. 265(1). F151–F156. 36 indexed citations
13.
Morsing, Peter, Arne Stenberg, Daniel Casellas, et al.. (1992). Renal interstitial pressure and tubuloglomerular feedback control in rats during infusion of atrial natriuretic peptide (ANP). Acta Physiologica Scandinavica. 146(3). 393–398. 8 indexed citations
14.
Casellas, Daniel, et al.. (1990). Renal hemodynamic regulation by the renin-secreting segment of the afferent arteriole.. PubMed. 30. S65–8. 5 indexed citations
15.
Holm, L., Peter Morsing, Daniel Casellas, & A Erik G Persson. (1990). Resetting of the pressure range for blood flow autoregulation in the rat kidney. Acta Physiologica Scandinavica. 138(3). 395–401. 20 indexed citations
16.
Casellas, Daniel & R. Taugner. (1986). Renin Status of the Afferent Arteriole and Ultrastructure of the Juxtaglomerular Apparatus in ‘Superficial’ Juxtamedullary Nephrons from Rats. Kidney & Blood Pressure Research. 9(6). 348–356. 7 indexed citations
17.
Casellas, Daniel, et al.. (1986). Direct assessment of renal microcirculatory dynamics.. PubMed. 45(13). 2851–61. 21 indexed citations
18.
Mimran, A, Bernard Jover, & Daniel Casellas. (1984). Renal adaptation to sodium deprivation. The American Journal of Medicine. 76(5). 14–21. 19 indexed citations
19.
Casellas, Daniel & A Mimran. (1981). Shunting in renal microvasculature of the rat: A scanning electron microscopic study of corrosion casts. The Anatomical Record. 201(2). 237–248. 52 indexed citations
20.
Casellas, Daniel, et al.. (1979). [Renal kallikrein: variations in relation to sodium intake and experimental renovascular hypertension (author's transl)].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 37(1). 7–10. 1 indexed citations

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.

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