Daniel Batlle

15.1k total citations · 3 hit papers
219 papers, 9.6k citations indexed

About

Daniel Batlle is a scholar working on Nephrology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel Batlle has authored 219 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Nephrology, 72 papers in Molecular Biology and 61 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel Batlle's work include Ion Transport and Channel Regulation (52 papers), Renin-Angiotensin System Studies (47 papers) and Renal function and acid-base balance (45 papers). Daniel Batlle is often cited by papers focused on Ion Transport and Channel Regulation (52 papers), Renin-Angiotensin System Studies (47 papers) and Renal function and acid-base balance (45 papers). Daniel Batlle collaborates with scholars based in United States, Spain and Germany. Daniel Batlle's co-authors include Jan Wysocki, María José Soler, Minghao Ye, Neil A. Kurtzman, José A.L. Arruda, A.H. Jan Danser, Murray Epstein, Josep Redón, Josette William and Michael S. LaPointe and has published in prestigious journals such as New England Journal of Medicine, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel Batlle

208 papers receiving 9.3k citations

Hit Papers

Increase in Nocturnal Blood Pressure and Progression to M... 2002 2026 2010 2018 2002 2020 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Batlle United States 52 2.9k 2.8k 2.5k 1.9k 1.7k 219 9.6k
Fabrizio Veglia Italy 60 6.7k 2.3× 1.7k 0.6× 1.6k 0.7× 580 0.3× 1.3k 0.7× 291 14.5k
An S. De Vriese Belgium 50 1.3k 0.5× 3.5k 1.3× 2.0k 0.8× 682 0.4× 648 0.4× 173 8.9k
Kwan‐Dun Wu Taiwan 57 1.7k 0.6× 4.3k 1.6× 1.9k 0.7× 456 0.2× 2.6k 1.5× 371 11.2k
Barry I. Freedman United States 65 2.6k 0.9× 6.2k 2.2× 3.3k 1.3× 355 0.2× 3.2k 1.8× 420 16.3k
Hiromichi Suzuki Japan 43 2.9k 1.0× 2.1k 0.7× 1.4k 0.6× 321 0.2× 2.1k 1.2× 408 8.5k
Louise M. Burrell Australia 47 3.9k 1.3× 549 0.2× 1.4k 0.6× 1.5k 0.8× 1.9k 1.1× 239 8.3k
Morris Schambelan United States 55 1.7k 0.6× 912 0.3× 2.9k 1.2× 2.1k 1.1× 3.5k 2.0× 164 10.6k
Yoshinari Yasuda Japan 40 2.3k 0.8× 4.1k 1.5× 1.8k 0.7× 178 0.1× 1.5k 0.8× 152 10.6k
Zaid Abassi Israel 42 2.1k 0.7× 910 0.3× 1.2k 0.5× 362 0.2× 683 0.4× 205 5.8k
Enyu Imai Japan 61 3.6k 1.2× 7.4k 2.7× 4.8k 1.9× 261 0.1× 2.3k 1.3× 324 18.7k

Countries citing papers authored by Daniel Batlle

Since Specialization
Citations

This map shows the geographic impact of Daniel Batlle'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 Batlle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Batlle more than expected).

Fields of papers citing papers by Daniel Batlle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Batlle. 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 Batlle. The network helps show where Daniel Batlle may publish in the future.

Co-authorship network of co-authors of Daniel Batlle

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Batlle. A scholar is included among the top collaborators of Daniel Batlle 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 Batlle. Daniel Batlle 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.
Batlle, Daniel, et al.. (2025). The Concept, Usefulness, and Limitations of the Urine Anion Gap. Clinical Journal of the American Society of Nephrology. 20(12). 1810–1813.
2.
Ismail, Ahmed, Jan Wysocki, Jiao-Jing Wang, et al.. (2024). Altered kidney distribution and loss of ACE2 into the urine in acute kidney injury. American Journal of Physiology-Renal Physiology. 327(3). F412–F425. 5 indexed citations
3.
Berger, Or, Wonmin Choi, Caroline H. Ko, et al.. (2024). Long-Circulating Vasoactive 1,18-Octadecanedioic Acid–Terlipressin Conjugate. ACS Pharmacology & Translational Science. 7(5). 1252–1261.
4.
Ariceta, Gema, et al.. (2024). Primary Distal Renal Tubular Acidosis. Clinical Journal of the American Society of Nephrology. 19(9). 1212–1222. 1 indexed citations
5.
Batlle, Daniel, et al.. (2024). ACE2, From the Kidney to SARS-CoV-2: Donald Seldin Award Lecture 2023. Hypertension. 82(2). 166–180.
7.
Wysocki, Jan, Jared T. Ahrendsen, Minghao Ye, et al.. (2023). Intranasal soluble ACE2 improves survival and prevents brain SARS-CoV-2 infection. Life Science Alliance. 6(7). e202301969–e202301969. 6 indexed citations
8.
Kulkarni, Spoorthy, Anna F. Dominiczak, Rhian M. Touyz, et al.. (2021). CONNed in Pregnancy. Hypertension. 78(1). 241–249. 1 indexed citations
9.
Sarró, Eduard, Ana Isabel Rico, Vanesa Fernández‐Majada, et al.. (2020). Cyclophilins A and B oppositely regulate renal tubular epithelial cell phenotype. Journal of Molecular Cell Biology. 12(7). 499–514. 12 indexed citations
10.
Sparks, Matthew A., Andrew M. South, Paul A. Welling, et al.. (2020). Sound Science before Quick Judgement Regarding RAS Blockade in COVID-19. Clinical Journal of the American Society of Nephrology. 15(5). 714–716. 57 indexed citations
11.
Wysocki, Jan, et al.. (2020). An update on ACE2 amplification and its therapeutic potential. Acta Physiologica. 231(1). e13513–e13513. 28 indexed citations
12.
Varagić, Jasmina, Sarfaraz Ahmad, Jessica L. VonCannon, et al.. (2013). Predominance of AT1 Blockade Over Mas–Mediated Angiotensin-(1–7) Mechanisms in the Regulation of Blood Pressure and Renin–Angiotensin System in mRen2.Lewis Rats. American Journal of Hypertension. 26(5). 583–590. 28 indexed citations
13.
Agarwal, Rajiv, Muralidhar Acharya, Jin Tian, et al.. (2005). Antiproteinuric effect of oral paricalcitol in chronic kidney disease. Kidney International. 68(6). 2823–2828. 286 indexed citations
14.
Sprague, Stuart M., et al.. (2003). Paricalcitol versus calcitriol in the treatment of secondary hyperparathyroidism. Kidney International. 63(4). 1483–1490. 270 indexed citations
15.
Wang, Chenguang, Richard C. Francis, Daniel Batlle, et al.. (2000). The Application of High Density Microarray for Analysis of Mitogenic Signaling and Cell-Cycle in the Adrenal. Endocrine Research. 26(4). 807–823. 5 indexed citations
16.
Batlle, Daniel, et al.. (1992). Severe Acute Peripartum Hypernatremia. American Journal of Kidney Diseases. 19(4). 385–388.
17.
Batlle, Daniel. (1992). From the Chicago meetings. Journal of Laboratory and Clinical Medicine. 119(6). 621. 2 indexed citations
18.
Batlle, Daniel. (1984). Furosemide as a tool to evaluate cortical collecting duct function. Clinical research. 32(4). 800. 3 indexed citations
19.
Batlle, Daniel. (1982). Delta urine pCO2 rather than UB pCO2 as an index of distal acidification. Seminars in Nephrology. 2(3). 189–190. 6 indexed citations
20.
Batlle, Daniel. (1981). Hyperkalemic hyperchloremic metabolic acidosis associated with selective aldosterone deficiency and distal renal tubular acidosis. Seminars in Nephrology. 1(3). 260–274. 40 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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