Daniela Teixeira
Impact in
- Molecular Biology top 5%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Fungal and yeast genetics research
- RNA regulation and disease
- Genomics and Chromatin Dynamics
- RNA Interference and Gene Delivery
- Aging top 5%
Papers in
- Immunology 11
- Immune Response and Inflammation 5
- Co-authors
- Roy Parker (4 shared papers)Muriel Brengues (2 shared papers)Carolyn J. Decker (1 shared paper)Ujwal Sheth (1 shared paper)Marco Antonio Valencia-Sanchez (1 shared paper)Valérie Hilgers (1 shared paper)Ieda Maria Longo‐Maugéri (13 shared papers)Carla Cristina Squaiella‐Baptistão (2 shared papers)
- Journals
- Frontiers in Immunology (3 papers)PLoS ONE (3 papers)RNA (2 papers)Frontiers in Microbiology (2 papers)Bioscience Reports (1 paper)
- Partner nations
- BrazilUnited StatesBelgium
In The Last Decade
Daniela Teixeira
32 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.6k
- Aging 39
- Cancer Research 145
- Parasitology 41
- Immunology 104
Countries citing papers authored by Daniela Teixeira
This map shows the geographic impact of Daniela Teixeira'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 Teixeira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Teixeira more than expected).
Fields of papers citing papers by Daniela Teixeira
This network shows the impact of papers produced by Daniela Teixeira. 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 Teixeira. The network helps show where Daniela Teixeira may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Teixeira, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 602 | |
| 2 | 2005 | 566 | |
| 3 | 2007 | 385 | |
| 4 | 2006 | 71 | |
| 5 | 2012 | 34 | |
| 6 | 2011 | 29 | |
| 7 | 2001 | 27 | |
| 8 | 2017 | 23 | |
| 9 | 2021 | 22 | |
| 10 | 2017 | 18 | |
| 11 | 2016 | 18 | |
| 12 | 2015 | 15 | |
| 13 | 2018 | 13 | |
| 14 | 2018 | 12 | |
| 15 | 2018 | 12 | |
| 16 | 2019 | 9 | |
| 17 | 2019 | 9 | |
| 18 | 2017 | 9 | |
| 19 | 2020 | 7 | |
| 20 | 2017 | 7 |
About Daniela Teixeira
Daniela Teixeira is a scholar working on Immunology, Dermatology, Epidemiology, Occupational Therapy and Virology, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Response and Inflammation (5 papers), RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (4 papers), Research on Leishmaniasis Studies (3 papers), Glycosylation and Glycoproteins Research (2 papers), Safe Handling of Antineoplastic Drugs (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Aging (39 citations), Cancer Research (145 citations), Parasitology (41 citations) and Immunology (104 citations). Daniela Teixeira has collaborated with scholars based in Brazil, United States and Belgium. Frequent co-authors include Roy Parker, Muriel Brengues, Carolyn J. Decker, Ujwal Sheth, Marco Antonio Valencia-Sanchez, Valérie Hilgers, Ieda Maria Longo‐Maugéri, Carla Cristina Squaiella‐Baptistão, Ana Flávia Popi and Valquíria Bueno. Their work appears in journals such as Frontiers in Immunology, PLoS ONE, RNA, Frontiers in Microbiology and Bioscience Reports.
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.