Daniel Campos Villela
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Cellular and Molecular Neuroscience
- Pharmacology
- Co-authors
- Robson A.S. SantosDanielle G. Passos-SilvaMichael BäderU. Muscha SteckelingsThomas UngerSebastian KirschJulia LeonhardtNatália Alenina
- Topics
- Receptor Mechanisms and Signaling (6 papers)Renin-Angiotensin System Studies (5 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers)
In The Last Decade
Daniel Campos Villela
17 papers receiving 420 citations
Peers
Comparison fields: 5 of 67
- Cardiology and Cardiovascular Medicine 255
- Molecular Biology 124
- Endocrinology, Diabetes and Metabolism 123
- Cellular and Molecular Neuroscience 60
- Pharmacology 59
Countries citing papers authored by Daniel Campos Villela
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 15 | |
| 9 | 69 | |
| 10 | 88 | |
| 11 | 65 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 38 | |
| 15 | 87 | |
| 16 | 2 | |
| 17 | 13 | |
| 18 | 31 | |
| 19 | 1 |
About Daniel Campos Villela
Daniel Campos Villela is a scholar working on Biological Psychiatry, Biochemistry and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 424 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Renin-Angiotensin System Studies (5 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (255 citations), Endocrinology, Diabetes and Metabolism (123 citations) and Behavioral Neuroscience (25 citations). Daniel Campos Villela has collaborated with scholars based in Brazil, Germany and Denmark. Frequent 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 Anders Hallberg. Their work appears in journals such as Scientific Reports, Neuroscience and Hypertension.
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.