Carmen Brás‐Silva

1.7k citations
63 papers · 1.2k indexed · h-index 19
Topics
Pulmonary Hypertension Research and Treatments (19 papers)Cardiovascular Function and Risk Factors (15 papers)Nitric Oxide and Endothelin Effects (13 papers)
Journals
CirculationSHILAP Revista de lepidopterologíaThe Journal of Physiology
Partner nations
PortugalFranceBelgium

In The Last Decade

Carmen Brás‐Silva

62 papers receiving 1.2k citations

Peers

Carmen Brás‐Silva
Comparison fields: 5 of 100
  • Cardiology and Cardiovascular Medicine 683
  • Pulmonary and Respiratory Medicine 396
  • Molecular Biology 292
  • Physiology 237
  • Surgery 179
Replace Masahiro Okazaki with:
Masahiro Okazaki Japan
T Yoshimasa Japan
Erika I. Boesen United States
Yoshitaka Ohashi Japan
Kota Suzuki Japan
Mercedes L. Kuroski de Bold Canada
Shokoufeh Mahmoodzadeh Germany
Hanna Leskinen Finland
Robert M. Blanton United States
Elke Dworatzek Germany
Carmen Brás‐Silva relative to Masahiro Okazaki Japan Masahiro Okazaki's profile →
Citations per field
00.5×6.9×
Masahiro Okazaki · 1×
Citations per year

Countries citing papers authored by Carmen Brás‐Silva

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Brás‐Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carmen Brás‐Silva. 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 Carmen Brás‐Silva. The network helps show where Carmen Brás‐Silva may publish in the future.

Co-authorship network of co-authors of Carmen Brás‐Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Brás‐Silva. A scholar is included among the top collaborators of Carmen Brás‐Silva 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 Carmen Brás‐Silva. Carmen Brás‐Silva 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
#WorkIndexed citations
1 0
2 1
3 4
4 3
5 7
6 4
7 5
8 2
9 7
10 18
11 24
12 1
13 10
14 20
15 15
16 34
17 18
18 2
19 10
20 14

About Carmen Brás‐Silva

Carmen Brás‐Silva is a scholar working on Cardiology and Cardiovascular Medicine, Behavioral Neuroscience and Physiology, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (19 papers), Cardiovascular Function and Risk Factors (15 papers) and Nitric Oxide and Endothelin Effects (13 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (683 citations), Pulmonary and Respiratory Medicine (396 citations) and Behavioral Neuroscience (35 citations). Carmen Brás‐Silva has collaborated with scholars based in Portugal, France and Belgium. Frequent co-authors include Adelino Leite‐Moreira, Rui Adão, Ana Sofia Cerdeira, Pedro Mendes‐Ferreira, Friedrich Brünner, Gilles W. De Keulenaer, Inês Falcão‐Pires, André P. Lourenço, Fabrice Antigny and Frédéric Perros. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and The Journal of Physiology.

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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