Edécio Cunha‐Neto
- Epidemiology top 0.5%
- Public Health, Environmental and Occupational Health top 0.5%
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 5%
- Immunology top 2%
- Co-authors
- Jorge KalilChristophe ChevillardJosé Antônio Marin‐NetoMarcus Vinı́cius SimõesBenedito Carlos MacielAngelina M. BilateLuiza GuilhermeCharles Mady
- Topics
- Trypanosoma species research and implications (92 papers)Viral Infections and Immunology Research (43 papers)Cardiomyopathy and Myosin Studies (40 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculationJournal of Clinical Investigation
- Partner nations
- BrazilUnited StatesFrance
In The Last Decade
Edécio Cunha‐Neto
176 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Epidemiology 3.8k
- Public Health, Environmental and Occupational Health 2.4k
- Cardiology and Cardiovascular Medicine 1.9k
- Molecular Biology 1.6k
- Immunology 1.4k
Countries citing papers authored by Edécio Cunha‐Neto
This map shows the geographic impact of Edécio Cunha‐Neto'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 Edécio Cunha‐Neto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edécio Cunha‐Neto more than expected).
Fields of papers citing papers by Edécio Cunha‐Neto
This network shows the impact of papers produced by Edécio Cunha‐Neto. 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 Edécio Cunha‐Neto. The network helps show where Edécio Cunha‐Neto may publish in the future.
Co-authorship network of co-authors of Edécio Cunha‐Neto
This figure shows the co-authorship network connecting the top 25 collaborators of Edécio Cunha‐Neto. A scholar is included among the top collaborators of Edécio Cunha‐Neto 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 Edécio Cunha‐Neto. Edécio Cunha‐Neto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 15 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 26 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 44 | |
| 11 | 19 | |
| 12 | 19 | |
| 13 | 49 | |
| 14 | 29 | |
| 15 | 61 | |
| 16 | 21 | |
| 17 | 45 | |
| 18 | 41 | |
| 19 | 135 | |
| 20 | 52 |
About Edécio Cunha‐Neto
Edécio Cunha‐Neto is a scholar working on Virology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 179 papers that have together received 6.4k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (92 papers), Viral Infections and Immunology Research (43 papers) and Cardiomyopathy and Myosin Studies (40 papers). The work is most often cited by research in Parasitology (770 citations), Epidemiology (3.8k citations) and Public Health, Environmental and Occupational Health (2.4k citations). Edécio Cunha‐Neto has collaborated with scholars based in Brazil, United States and France. Frequent co-authors include Jorge Kalil, Christophe Chevillard, José Antônio Marin‐Neto, Marcus Vinı́cius Simões, Benedito Carlos Maciel, Angelina M. Bilate, Luiza Guilherme, Charles Mady, Anna Carla Goldberg and Bárbara Maria Ianni. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.
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.