Camila Bonomo
- Cardiology and Cardiovascular Medicine top 10%
- Physiology
- Molecular Biology
- Complementary and alternative medicine top 5%
- Rehabilitation top 10%
- Co-authors
- Marina Politi OkoshiPaula Felippe MartinezKatashi OkoshiA. R. R. LimaDaniele Mendes GuizoniM. D. M. CezarS. A. OliveiraLuana Urbano Pagan
- Topics
- Muscle Physiology and Disorders (7 papers)Cardiovascular Function and Risk Factors (6 papers)Adipose Tissue and Metabolism (6 papers)
- Partner nations
- BrazilNetherlandsBelgium
In The Last Decade
Camila Bonomo
20 papers receiving 370 citations
Peers
Comparison fields: 5 of 63
- Cardiology and Cardiovascular Medicine 208
- Physiology 123
- Molecular Biology 105
- Complementary and alternative medicine 87
- Rehabilitation 43
Countries citing papers authored by Camila Bonomo
This map shows the geographic impact of Camila Bonomo'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 Camila Bonomo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Camila Bonomo more than expected).
Fields of papers citing papers by Camila Bonomo
This network shows the impact of papers produced by Camila Bonomo. 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 Camila Bonomo. The network helps show where Camila Bonomo may publish in the future.
Co-authorship network of co-authors of Camila Bonomo
This figure shows the co-authorship network connecting the top 25 collaborators of Camila Bonomo. A scholar is included among the top collaborators of Camila Bonomo 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 Camila Bonomo. Camila Bonomo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 26 | |
| 5 | 41 | |
| 6 | 40 | |
| 7 | 30 | |
| 8 | 53 | |
| 9 | 1 | |
| 10 | 31 | |
| 11 | 31 | |
| 12 | 1 | |
| 13 | 32 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | Cardiac effects of late exercise training in rats with different sizes of myocardial infarction | 1 |
| 19 | 6 | |
| 20 | 39 |
About Camila Bonomo
Camila Bonomo is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Complementary and alternative medicine, having authored 20 papers that have together received 373 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (7 papers), Cardiovascular Function and Risk Factors (6 papers) and Adipose Tissue and Metabolism (6 papers). The work is most often cited by research in Complementary and alternative medicine (87 citations), Cardiology and Cardiovascular Medicine (208 citations) and Rehabilitation (43 citations). Camila Bonomo has collaborated with scholars based in Brazil, Netherlands and Belgium. Frequent co-authors include Marina Politi Okoshi, Paula Felippe Martinez, Katashi Okoshi, A. R. R. Lima, Daniele Mendes Guizoni, M. D. M. Cezar, S. A. Oliveira, Luana Urbano Pagan, Ricardo Luiz Damatto and Dijon Henrique Salomé de Campos. Their work appears in journals such as The FASEB Journal, European Heart Journal and Oncotarget.
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.