Fábio Távora
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 10%
- Surgery top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Physiology top 10%
- Co-authors
- Allen BurkeMary RippleNathaniel CresswellLing LiLuis F. Gonzalez‐CuyarBenedito A. CarneiroFrancis J. GilesSarah Chuzi
- Topics
- Lung Cancer Treatments and Mutations (7 papers)Cardiac tumors and thrombi (5 papers)Kawasaki Disease and Coronary Complications (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaCancer ResearchInternational Journal of Molecular Sciences
- Partner nations
- United StatesBrazilPakistan
In The Last Decade
Fábio Távora
62 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 104
- Pulmonary and Respiratory Medicine 658
- Oncology 390
- Surgery 336
- Cardiology and Cardiovascular Medicine 290
- Physiology 252
Countries citing papers authored by Fábio Távora
This map shows the geographic impact of Fábio Távora'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 Távora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fábio Távora more than expected).
Fields of papers citing papers by Fábio Távora
This network shows the impact of papers produced by Fábio Távora. 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 Távora. The network helps show where Fábio Távora may publish in the future.
Co-authorship network of co-authors of Fábio Távora
This figure shows the co-authorship network connecting the top 25 collaborators of Fábio Távora. A scholar is included among the top collaborators of Fábio Távora 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 Távora. Fábio Távora 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 | 3 | |
| 4 | 12 | |
| 5 | 7 | |
| 6 | Large Neuroendocrine Tumor in a Patient with Acromegaly Case Report | 0 |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 38 | |
| 12 | 24 | |
| 13 | 33 | |
| 14 | 27 | |
| 15 | 165 | |
| 16 | 51 | |
| 17 | 34 | |
| 18 | Aneurismas múltiplos de pontes aorto-coronárias de veia safena com ruptura fatal Multiple aneurysms of aortocoronary saphenous vein grafts with fatal rupture | 2 |
| 19 | 13 | |
| 20 | 17 |
About Fábio Távora
Fábio Távora is a scholar working on Transplantation, Pulmonary and Respiratory Medicine and Oncology, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (7 papers), Cardiac tumors and thrombi (5 papers) and Kawasaki Disease and Coronary Complications (5 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (658 citations), Oncology (390 citations) and Cardiology and Cardiovascular Medicine (290 citations). Fábio Távora has collaborated with scholars based in United States, Brazil and Pakistan. Frequent co-authors include Allen Burke, Mary Ripple, Nathaniel Cresswell, Ling Li, Luis F. Gonzalez‐Cuyar, Ling Li, Benedito A. Carneiro, Francis J. Giles, Sarah Chuzi and Young Kwang Chae. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and International Journal of Molecular Sciences.
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.