Bruno Sevá Pessôa

422 total citations
8 papers, 322 citations indexed

About

Bruno Sevá Pessôa is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Bruno Sevá Pessôa has authored 8 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 5 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Physiology. Recurrent topics in Bruno Sevá Pessôa's work include Renin-Angiotensin System Studies (5 papers), Hormonal Regulation and Hypertension (5 papers) and Nitric Oxide and Endothelin Effects (2 papers). Bruno Sevá Pessôa is often cited by papers focused on Renin-Angiotensin System Studies (5 papers), Hormonal Regulation and Hypertension (5 papers) and Nitric Oxide and Endothelin Effects (2 papers). Bruno Sevá Pessôa collaborates with scholars based in Netherlands, Brazil and Germany. Bruno Sevá Pessôa's co-authors include Anton J.M. Roks, José B. Lopes de Faria, Elisa Peixoto, A.H. Jan Danser, Matej Durik, Subrata Kumar Biswas, Koen Verdonk, Nils van der Lubbe, Ewout J. Hoorn and Alexandros Papadimitriou and has published in prestigious journals such as Hypertension, Cell and Tissue Research and Clinical Science.

In The Last Decade

Bruno Sevá Pessôa

8 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruno Sevá Pessôa Netherlands 7 143 104 100 50 38 8 322
A.H.J. Danser Netherlands 11 169 1.2× 111 1.1× 73 0.7× 31 0.6× 27 0.7× 22 312
Akifumi Kurata Japan 5 153 1.1× 62 0.6× 89 0.9× 122 2.4× 38 1.0× 7 347
Virginia Reverte Spain 11 88 0.6× 107 1.0× 96 1.0× 29 0.6× 27 0.7× 23 337
Shuo Pan China 12 110 0.8× 72 0.7× 121 1.2× 54 1.1× 57 1.5× 26 376
Sona Haku Japan 13 182 1.3× 101 1.0× 97 1.0× 59 1.2× 66 1.7× 25 366
Marilyn Burke United States 7 104 0.7× 108 1.0× 93 0.9× 57 1.1× 29 0.8× 7 349
Ruth Ann Barkley United States 5 105 0.7× 102 1.0× 88 0.9× 36 0.7× 84 2.2× 7 353
Flavia F. Jung United States 8 116 0.8× 114 1.1× 108 1.1× 35 0.7× 37 1.0× 10 347
Roberto Nordaby Argentina 3 120 0.8× 59 0.6× 87 0.9× 84 1.7× 55 1.4× 3 374
Jijin Lin China 10 124 0.9× 87 0.8× 182 1.8× 41 0.8× 56 1.5× 20 405

Countries citing papers authored by Bruno Sevá Pessôa

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Sevá Pessôa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruno Sevá Pessôa. 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 Bruno Sevá Pessôa. The network helps show where Bruno Sevá Pessôa may publish in the future.

Co-authorship network of co-authors of Bruno Sevá Pessôa

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

All Works

8 of 8 papers shown
1.
Pessôa, Bruno Sevá, et al.. (2016). The adipose tissue and the involvement of the renin–angiotensin–aldosterone system in cardiometabolic syndrome. Cell and Tissue Research. 366(3). 543–548. 15 indexed citations
2.
Pessôa, Bruno Sevá, Peter Moritz Becher, Richard van Veghel, et al.. (2015). Effect of a Stable Angiotensin‐(1–7) Analogue on Progenitor Cell Recruitment and Cardiovascular Function Post Myocardial Infarction. Journal of the American Heart Association. 4(2). 6 indexed citations
3.
Pessôa, Bruno Sevá, Denise E. Slump, Aldo Grefhorst, et al.. (2015). Angiotensin II Type 2 Receptor– and Acetylcholine-Mediated Relaxation. Hypertension. 66(2). 396–402. 36 indexed citations
4.
Balcarek, J M, Bruno Sevá Pessôa, Michel Azizi, et al.. (2014). Multiple Ascending Dose Study With the New Renin Inhibitor VTP-27999. Hypertension. 63(5). 942–950. 34 indexed citations
5.
Pessôa, Bruno Sevá, Nils van der Lubbe, Koen Verdonk, et al.. (2012). Key developments in renin–angiotensin–aldosterone system inhibition. Nature Reviews Nephrology. 9(1). 26–36. 74 indexed citations
6.
Durik, Matej, Bruno Sevá Pessôa, & Anton J.M. Roks. (2012). The renin–angiotensin system, bone marrow and progenitor cells. Clinical Science. 123(4). 205–223. 50 indexed citations
7.
Pessôa, Bruno Sevá, Elisa Peixoto, Alexandros Papadimitriou, Jacqueline M. Lopes de Faria, & José B. Lopes de Faria. (2011). Spironolactone improves nephropathy by enhancing glucose-6-phosphate dehydrogenase activity and reducing oxidative stress in diabetic hypertensive rat. Journal of the Renin-Angiotensin-Aldosterone System. 13(1). 56–66. 38 indexed citations
8.
Peixoto, Elisa, Bruno Sevá Pessôa, Subrata Kumar Biswas, & José B. Lopes de Faria. (2008). Antioxidant SOD Mimetic Prevents NADPH Oxidase-Induced Oxidative Stress and Renal Damage in the Early Stage of Experimental Diabetes and Hypertension. American Journal of Nephrology. 29(4). 309–318. 69 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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