Daniel Campos Villela

994 total citations
19 papers, 424 citations indexed

About

Daniel Campos Villela is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Daniel Campos Villela has authored 19 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Daniel Campos Villela's work include Receptor Mechanisms and Signaling (6 papers), Renin-Angiotensin System Studies (5 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers). Daniel Campos Villela is often cited by papers focused on Receptor Mechanisms and Signaling (6 papers), Renin-Angiotensin System Studies (5 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers). Daniel Campos Villela collaborates with scholars based in Brazil, Germany and Netherlands. Daniel Campos Villela's co-authors include Robson A.S. Santos, Danielle G. Passos-Silva, Michael Bäder, U. Muscha Steckelings, Thomas Unger, Sebastian Kirsch, Julia Leonhardt, Natália Alenina, Marco Antônio Peliky Fontes and Colin Sumners and has published in prestigious journals such as Scientific Reports, Neuroscience and Hypertension.

In The Last Decade

Daniel Campos Villela

17 papers receiving 420 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 Campos Villela Brazil 8 255 124 123 60 59 19 424
David J. Pioquinto United States 9 322 1.3× 198 1.6× 110 0.9× 79 1.3× 54 0.9× 14 547
Thu‐Phuc Nguyen‐Huu Australia 8 217 0.9× 110 0.9× 134 1.1× 21 0.3× 56 0.9× 13 457
Karla Haack United States 14 305 1.2× 135 1.1× 61 0.5× 54 0.9× 30 0.5× 15 529
Jorge Vázquez United States 6 351 1.4× 141 1.1× 204 1.7× 50 0.8× 92 1.6× 9 558
Alicia Falcón‐Neri United States 8 371 1.5× 239 1.9× 203 1.7× 95 1.6× 51 0.9× 10 628
Miroslava Macova United States 8 376 1.5× 223 1.8× 226 1.8× 87 1.4× 51 0.9× 8 710
Paige S. Katz United States 14 207 0.8× 150 1.2× 41 0.3× 61 1.0× 109 1.8× 22 658
Heba A. Ahmed United States 13 105 0.4× 117 0.9× 35 0.3× 39 0.7× 41 0.7× 28 346
Noriko Togashi Japan 12 42 0.2× 154 1.2× 58 0.5× 43 0.7× 19 0.3× 42 436
Dong Zhou China 14 119 0.5× 110 0.9× 36 0.3× 39 0.7× 27 0.5× 21 675

Countries citing papers authored by Daniel Campos Villela

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Campos Villela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Campos Villela

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

All Works

19 of 19 papers shown
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Villela, Daniel Campos, Pawel Namsolleck, Christoph Reichetzeder, & Gert N. Moll. (2023). AT2 receptor agonist LP2 restores respiratory function in a rat model of bleomycin-induced lung remodelling. Peptides. 170. 171106–171106. 1 indexed citations
6.
Peluso, A. Augusto, Daniel Campos Villela, Pernille Hansen, et al.. (2023). Functional assay for assessment of agonistic or antagonistic activity of angiotensin AT2 receptor ligands reveals that EMA401 and PD123319 have agonistic properties. Biochemical Pharmacology. 216. 115793–115793. 4 indexed citations
7.
Silva, Alexandre A. da, et al.. (2022). High-Salt Diet in the Pre- and Postweaning Periods Leads to Amygdala Oxidative Stress and Changes in Locomotion and Anxiety-Like Behaviors of Male Wistar Rats. Frontiers in Behavioral Neuroscience. 15. 779080–779080. 5 indexed citations
8.
Fernandes, José Sebastião Cunha, Ricardo Siqueira da Silva, Alexandre Christófaro Silva, et al.. (2021). Altitude conditions seem to determine the evolution of COVID-19 in Brazil. Scientific Reports. 11(1). 4402–4402. 15 indexed citations
9.
Klempin, Friederike, Valentina Mosienko, Susann Matthes, et al.. (2018). Depletion of angiotensin-converting enzyme 2 reduces brain serotonin and impairs the running-induced neurogenic response. Cellular and Molecular Life Sciences. 75(19). 3625–3634. 69 indexed citations
10.
Leonhardt, Julia, Daniel Campos Villela, Lisa Marie Munter, et al.. (2017). Evidence for Heterodimerization and Functional Interaction of the Angiotensin Type 2 Receptor and the Receptor MAS. Hypertension. 69(6). 1128–1135. 88 indexed citations
11.
Villela, Daniel Campos, Danielle G. Passos-Silva, & Robson A.S. Santos. (2014). Alamandine. Current Opinion in Nephrology & Hypertension. 23(2). 130–134. 65 indexed citations
12.
Villela, Daniel Campos, Sebastian Kirsch, Lisa Marie Munter, et al.. (2014). Abstract 022: Evidence for AT2-receptor-MAS Dimerisation from Fluorescence Resonance Energy Transfer (FRET) Imaging and Fluorescence Cross Correlation Spectroscopy (FCCS). Hypertension. 64(suppl_1). 1 indexed citations
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Villela, Daniel Campos, et al.. (2014). Abstract 484: The Vasorelaxing / No Release Effect Of Angiotensin-(1-9) Is Independent Of At2, Mas Or Mrgd Receptors. Hypertension. 64(suppl_1). 1 indexed citations
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Villela, Daniel Campos, Julia Leonhardt, Neal Patel, et al.. (2014). Angiotensin type 2 receptor (AT2R) and receptor Mas: a complex liaison. Clinical Science. 128(4). 227–234. 87 indexed citations
15.
Lucht, Kristin, Pawel Namsolleck, Florianne Monnet‐Tschudi, et al.. (2014). Direct angiotensin type 2 receptor (AT2R) stimulation attenuates T-cell and microglia activation and prevents demyelination in experimental autoimmune encephalomyelitis in mice. Clinical Science. 128(2). 95–109. 38 indexed citations
16.
Villela, Daniel Campos, Lisa Marie Munter, Gerd Multhaup, et al.. (2012). 398 EVIDENCE OF A DIRECT MAS-AT2 RECEPTOR DIMERIZATION. Journal of Hypertension. 30(Supplement 1). e117–e117. 2 indexed citations
17.
Villela, Daniel Campos, et al.. (2009). Activation of 5-HT receptors in the periaqueductal gray attenuates the tachycardia evoked from dorsomedial hypothalamus. Autonomic Neuroscience. 148(1-2). 36–43. 13 indexed citations
18.
Menezes, Rodrigo Cunha Alvim de, et al.. (2006). Excitatory amino acid receptors in the periaqueductal gray mediate the cardiovascular response evoked by activation of dorsomedial hypothalamic neurons. Neuroscience. 139(3). 1129–1139. 31 indexed citations
19.
Villela, Daniel Campos, et al.. (2006). O HIPOTÁLAMO DORSOMEDIAL E A ORGANIZAÇÃO DA RESPOSTA CARDIOVASCULAR AO ESTRESSE EMOCIONAL: UMA PERSPECTIVA FUNCIONAL. Medicina (Ribeirão Preto). 39(1). 13–20. 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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