Pablo Nakagawa

1.0k total citations
42 papers, 808 citations indexed

About

Pablo Nakagawa is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Pablo Nakagawa has authored 42 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 14 papers in Molecular Biology and 11 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Pablo Nakagawa's work include Renin-Angiotensin System Studies (16 papers), Hormonal Regulation and Hypertension (11 papers) and Receptor Mechanisms and Signaling (10 papers). Pablo Nakagawa is often cited by papers focused on Renin-Angiotensin System Studies (16 papers), Hormonal Regulation and Hypertension (11 papers) and Receptor Mechanisms and Signaling (10 papers). Pablo Nakagawa collaborates with scholars based in United States, Argentina and Norway. Pablo Nakagawa's co-authors include Curt D. Sigmund, Oscar A. Carretero, Justin L. Grobe, Xiao-Ping Yang, Germán E. Gónzalez, Nour-Eddine Rhaleb, Martin A. D’Ambrosio, Edward L. Peterson, Javier A. Gomez and Xiangguo Dai and has published in prestigious journals such as PLoS ONE, Circulation Research and Brain Research.

In The Last Decade

Pablo Nakagawa

38 papers receiving 801 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pablo Nakagawa United States 17 406 307 158 117 97 42 808
Sébastien Foulquier Netherlands 15 234 0.6× 348 1.1× 98 0.6× 73 0.6× 71 0.7× 35 818
Siva S. V. P. Sakamuri United States 18 250 0.6× 356 1.2× 99 0.6× 93 0.8× 163 1.7× 36 872
Takashi Koto Japan 19 253 0.6× 447 1.5× 106 0.7× 107 0.9× 81 0.8× 62 1.5k
Daniel A. Richards United States 14 267 0.7× 342 1.1× 57 0.4× 90 0.8× 129 1.3× 21 773
Hiroshi Satonaka Japan 16 178 0.4× 507 1.7× 162 1.0× 106 0.9× 168 1.7× 32 1.0k
Kousei Ohshima Japan 15 368 0.9× 300 1.0× 164 1.0× 69 0.6× 133 1.4× 31 867
Irena Duka United States 10 245 0.6× 304 1.0× 185 1.2× 117 1.0× 89 0.9× 12 994
Delyth Graham United Kingdom 18 293 0.7× 232 0.8× 224 1.4× 79 0.7× 153 1.6× 32 839
Minh Deo Australia 17 204 0.5× 384 1.3× 67 0.4× 151 1.3× 99 1.0× 29 767
Carole Amant France 15 397 1.0× 296 1.0× 244 1.5× 49 0.4× 106 1.1× 26 847

Countries citing papers authored by Pablo Nakagawa

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Nakagawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Nakagawa

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Nakagawa. A scholar is included among the top collaborators of Pablo Nakagawa 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 Pablo Nakagawa. Pablo Nakagawa 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.
Gómez, R. Ariel, et al.. (2025). Physiological and Molecular Implications of Angiotensinergic Signaling in the Brainstem. Endocrinology. 166(10).
2.
Nakagawa, Pablo, et al.. (2024). Angiotensin in the Arcuate: Mechanisms Integrating Cardiometabolic Control: The 2022 COH Mid-Career Award for Research Excellence. Hypertension. 81(11). 2209–2217. 2 indexed citations
3.
Fekete, Éva, Daniel Brozoski, Curt D. Sigmund, et al.. (2024). Early-life sodium restriction programs autonomic dysfunction and salt sensitivity in male C57BL/6J mice. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 328(1). R109–R120.
4.
Fekete, Éva, Daniel Brozoski, Javier A. Gomez, et al.. (2023). Genetic Ablation of Prorenin Receptor in the Rostral Ventrolateral Medulla Influences Blood Pressure and Hydromineral Balance in Deoxycorticosterone-Salt Hypertension. Function. 4(5). zqad043–zqad043. 3 indexed citations
5.
Deng, Guorui, Kristin E. Claflin, Huxing Cui, et al.. (2023). Cell-specific transcriptome changes in the hypothalamic arcuate nucleus in a mouse deoxycorticosterone acetate-salt model of hypertension. Frontiers in Cellular Neuroscience. 17. 1207350–1207350. 4 indexed citations
6.
Nakagawa, Pablo, et al.. (2023). Insights Into the Role of Angiotensin-II AT 1 Receptor-Dependent β-Arrestin Signaling in Cardiovascular Disease. Hypertension. 81(1). 6–16. 6 indexed citations
7.
Balapattabi, Kirthikaa, Yavuz Yavuz, Jingwei Jiang, et al.. (2023). Angiotensin AT1A receptor signal switching in Agouti-related peptide neurons mediates metabolic rate adaptation during obesity. Cell Reports. 42(8). 112935–112935. 4 indexed citations
8.
Reho, John J., et al.. (2023). Early-life sodium deprivation programs long-term changes in ingestive behaviors and energy expenditure in C57BL/6J mice. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 325(5). R576–R592. 3 indexed citations
9.
10.
Balapattabi, Kirthikaa, Daniel Brozoski, John J. Reho, et al.. (2022). Cardiometabolic effects of DOCA-salt in male C57BL/6J mice are variably dependent on sodium and nonsodium components of diet. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 322(6). R467–R485. 11 indexed citations
11.
Reho, John J., Pablo Nakagawa, Gary Mouradian, et al.. (2022). Methods for the Comprehensive in vivo Analysis of Energy Flux, Fluid Homeostasis, Blood Pressure, and Ventilatory Function in Rodents. Frontiers in Physiology. 13. 855054–855054. 21 indexed citations
12.
Nakagawa, Pablo, et al.. (2021). Studies of salt and stress sensitivity on arterial pressure in renin-b deficient mice. PLoS ONE. 16(7). e0250807–e0250807. 1 indexed citations
13.
14.
Nakagawa, Pablo, Javier A. Gomez, Justin L. Grobe, & Curt D. Sigmund. (2020). The Renin-Angiotensin System in the Central Nervous System and Its Role in Blood Pressure Regulation. Current Hypertension Reports. 22(1). 7–7. 73 indexed citations
15.
16.
Nakagawa, Pablo, César A. Romero, Martin A. D’Ambrosio, et al.. (2018). Ac-SDKP decreases mortality and cardiac rupture after acute myocardial infarction. PLoS ONE. 13(1). e0190300–e0190300. 13 indexed citations
17.
Nakagawa, Pablo & Curt D. Sigmund. (2017). How Is the Brain Renin–Angiotensin System Regulated?. Hypertension. 70(1). 10–18. 55 indexed citations
18.
Gónzalez, Germán E., Nour-Eddine Rhaleb, Martin A. D’Ambrosio, et al.. (2014). Deletion of interleukin-6 prevents cardiac inflammation, fibrosis and dysfunction without affecting blood pressure in angiotensin II-high salt-induced hypertension. Journal of Hypertension. 33(1). 144–152. 90 indexed citations
19.
Nakagawa, Pablo, et al.. (2012). Angiotensin-(1–7) upregulates central nitric oxide synthase in spontaneously hypertensive rats. Brain Research. 1453. 1–7. 27 indexed citations
20.
Peng, Hongmei, Xiao-Ping Yang, Oscar A. Carretero, et al.. (2011). Angiotensin II-induced dilated cardiomyopathy in Balb/c but not C57BL/6J mice. Experimental Physiology. 96(8). 756–764. 59 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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