Daniela Luz Ambrósio
- Molecular Biology
- Epidemiology
- Plant Science
- Pharmacology top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Regina Maria Barretto CicarelliArthur GünzlVanderlan da Silva BolzaniJoão M. BatistaMaysa FurlanMassuo J. KatoNitika BadjatiaJu Huck Lee
- Topics
- Trypanosoma species research and implications (12 papers)Cardiomyopathy and Myosin Studies (6 papers)RNA modifications and cancer (3 papers)
- Cited by
- PharmacologyBiochemistryEpidemiology
- Partner nations
- BrazilUnited StatesChile
In The Last Decade
Daniela Luz Ambrósio
17 papers receiving 370 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 157
- Epidemiology 133
- Plant Science 98
- Pharmacology 68
- Public Health, Environmental and Occupational Health 64
Countries citing papers authored by Daniela Luz Ambrósio
This map shows the geographic impact of Daniela Luz Ambrósio'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 Daniela Luz Ambrósio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Luz Ambrósio more than expected).
Fields of papers citing papers by Daniela Luz Ambrósio
This network shows the impact of papers produced by Daniela Luz Ambrósio. 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 Daniela Luz Ambrósio. The network helps show where Daniela Luz Ambrósio may publish in the future.
Co-authorship network of co-authors of Daniela Luz Ambrósio
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Luz Ambrósio. A scholar is included among the top collaborators of Daniela Luz Ambrósio 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 Daniela Luz Ambrósio. Daniela Luz Ambrósio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 14 | |
| 3 | 15 | |
| 4 | 17 | |
| 5 | 18 | |
| 6 | 14 | |
| 7 | 20 | |
| 8 | 24 | |
| 9 | 14 | |
| 10 | 44 | |
| 11 | 20 | |
| 12 | 4 | |
| 13 | 39 | |
| 14 | 41 | |
| 15 | 26 | |
| 16 | Detection and localization of small nuclear ribonucleoproteins (snRNPs) in trypanosomatids using anti-m3G antibodies. | 0 |
| 17 | 69 | |
| 18 | Mapeamento de bandas de trans-splicing in vitro com extratos nucleares de Trypanosoma cruzi | 2 |
About Daniela Luz Ambrósio
Daniela Luz Ambrósio is a scholar working on Biochemistry, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 384 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (12 papers), Cardiomyopathy and Myosin Studies (6 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Pharmacology (68 citations), Biochemistry (52 citations) and Epidemiology (133 citations). Daniela Luz Ambrósio has collaborated with scholars based in Brazil, United States and Chile. Frequent co-authors include Regina Maria Barretto Cicarelli, Arthur Günzl, Vanderlan da Silva Bolzani, João M. Batista, Maysa Furlan, Massuo J. Kato, Nitika Badjatia, Ju Huck Lee, Luís Octávio Regasini and Adriana A. Lopes. Their work appears in journals such as Nucleic Acids Research, Molecular and Cellular Biology and Molecular Microbiology.
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.