Fábio de Souza
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Physiology
- Surgery
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Elizabeth Silaid MuxfeldtGil F. SallesRoberto FiszmanVictor MargalloGilles SallesClaudia R.L. CardosoRonaldo Altenburg GismondiNordine Leklou
- Topics
- Blood Pressure and Hypertension Studies (7 papers)Obstructive Sleep Apnea Research (6 papers)Cardiovascular Health and Disease Prevention (4 papers)
- Cited by
- Endocrine and Autonomic SystemsCardiology and Cardiovascular MedicineEndocrinology, Diabetes and Metabolism
- Partner nations
- BrazilFranceSwitzerland
In The Last Decade
Fábio de Souza
23 papers receiving 474 citations
Peers
Comparison fields: 5 of 71
- Cardiology and Cardiovascular Medicine 274
- Endocrinology, Diabetes and Metabolism 177
- Physiology 135
- Surgery 105
- Endocrine and Autonomic Systems 102
Countries citing papers authored by Fábio de Souza
This map shows the geographic impact of Fábio de Souza'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 Fábio de Souza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fábio de Souza more than expected).
Fields of papers citing papers by Fábio de Souza
This network shows the impact of papers produced by Fábio de Souza. 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 Fábio de Souza. The network helps show where Fábio de Souza may publish in the future.
Co-authorship network of co-authors of Fábio de Souza
This figure shows the co-authorship network connecting the top 25 collaborators of Fábio de Souza. A scholar is included among the top collaborators of Fábio de Souza 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 Fábio de Souza. Fábio de Souza 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 6 | |
| 10 | 15 | |
| 11 | 6 | |
| 12 | 3 | |
| 13 | 7 | |
| 14 | 17 | |
| 15 | 4 | |
| 16 | 12 | |
| 17 | 24 | |
| 18 | 18 | |
| 19 | 19 | |
| 20 | 172 |
About Fábio de Souza
Fábio de Souza is a scholar working on Cardiology and Cardiovascular Medicine, Family Practice and Endocrine and Autonomic Systems, having authored 27 papers that have together received 487 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (7 papers), Obstructive Sleep Apnea Research (6 papers) and Cardiovascular Health and Disease Prevention (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (102 citations), Cardiology and Cardiovascular Medicine (274 citations) and Endocrinology, Diabetes and Metabolism (177 citations). Fábio de Souza has collaborated with scholars based in Brazil, France and Switzerland. Frequent co-authors include Elizabeth Silaid Muxfeldt, Gil F. Salles, Roberto Fiszman, Victor Margallo, Gilles Salles, Claudia R.L. Cardoso, Ronaldo Altenburg Gismondi, Nordine Leklou, Sílvio de Barros and Élen Ferraz Teston. Their work appears in journals such as Hypertension, Materials and Journal of 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.