Daniela Ribeiro
Impact in
- Endocrinology top 10%
- Plant and Fungal Interactions Research
-
- interferon and immune responses
Papers in
-
- Peroxisome Proliferator-Activated Receptors 13
- RNA Research and Splicing 4
- Immunology 17
- interferon and immune responses 17
- Co-authors
- Ana Ferreira (14 shared papers)Richard Kormelink (4 shared papers)Rob Goldbach (4 shared papers)Hans R. Waterham (2 shared papers)Ronald J. A. Wanders (1 shared paper)Myriam Baes (1 shared paper)Sacha Ferdinandusse (1 shared paper)Jonathan C. Kagan (5 shared papers)
- Journals
- Cancers (2 papers)Traffic (2 papers)Microscopy and Microanalysis (2 papers)Journal of Cellular and Molecular Medicine (2 papers)Scientific Reports (1 paper)
- Partner nations
- PortugalUnited KingdomNetherlands
In The Last Decade
Daniela Ribeiro
32 papers receiving 890 citations
Peers
Comparison fields: 5 of 83
- Endocrinology 61
- Immunology 204
- Cancer Research 126
- Molecular Biology 562
- Biochemistry 36
Countries citing papers authored by Daniela Ribeiro
This map shows the geographic impact of Daniela Ribeiro'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 Ribeiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Ribeiro more than expected).
Fields of papers citing papers by Daniela Ribeiro
This network shows the impact of papers produced by Daniela Ribeiro. 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 Ribeiro. The network helps show where Daniela Ribeiro may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Ribeiro, 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 | 2022 | 112 | |
| 2 | 2017 | 86 | |
| 3 | 2008 | 66 | |
| 4 | 2018 | 65 | |
| 5 | 2016 | 52 | |
| 6 | 2015 | 46 | |
| 7 | 2016 | 44 | |
| 8 | 2020 | 43 | |
| 9 | 2019 | 39 | |
| 10 | 2008 | 39 | |
| 11 | 2020 | 37 | |
| 12 | 2021 | 36 | |
| 13 | 2014 | 30 | |
| 14 | 2019 | 25 | |
| 15 | 2013 | 25 | |
| 16 | 2013 | 22 | |
| 17 | 2021 | 21 | |
| 18 | 2009 | 20 | |
| 19 | 2018 | 18 | |
| 20 | 2020 | 17 |
About Daniela Ribeiro
Daniela Ribeiro is a scholar working on Molecular Biology, Immunology, Epidemiology, Plant Science and Cancer Research, having authored 34 papers that have together received 895 indexed citations. Recurring topics across this work include interferon and immune responses (17 papers), Peroxisome Proliferator-Activated Receptors (13 papers), Plant Virus Research Studies (4 papers), RNA Research and Splicing (4 papers), Animal Virus Infections Studies (3 papers), Transgenic Plants and Applications (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Endocrinology (61 citations), Immunology (204 citations), Cancer Research (126 citations), Molecular Biology (562 citations) and Biochemistry (36 citations). Daniela Ribeiro has collaborated with scholars based in Portugal, United Kingdom and Netherlands. Frequent co-authors include Ana Ferreira, Richard Kormelink, Rob Goldbach, Hans R. Waterham, Ronald J. A. Wanders, Myriam Baes, Sacha Ferdinandusse, Jonathan C. Kagan, Michael Schrader and Jan Willem Borst. Their work appears in journals such as Cancers, Traffic, Microscopy and Microanalysis, Journal of Cellular and Molecular Medicine and Scientific 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.