Daniela Rojas
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
- Co-authors
- L. Rodríguez-Álvarez (12 shared papers)J. Cabezas (11 shared papers)F. Saravia (5 shared papers)Fidel Ovídio Castro (9 shared papers)Gonzalo Rivera (1 shared paper)Carlos Escudero (4 shared papers)Yat Sen Wong (4 shared papers)C. Aguilera (4 shared papers)
- Journals
- International Journal of Molecular Sciences (5 papers)Animals (2 papers)Reproduction Fertility and Development (2 papers)Reproduction in Domestic Animals (2 papers)Theriogenology (2 papers)
- Partner nations
- ChileUnited StatesCanada
In The Last Decade
Daniela Rojas
24 papers receiving 222 citations
Peers
Comparison fields: 5 of 52
- Genetics 97
- Equine 6
- Rehabilitation 16
- Immunology 47
- Surgery 83
Countries citing papers authored by Daniela Rojas
This map shows the geographic impact of Daniela Rojas'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 Rojas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Rojas more than expected).
Fields of papers citing papers by Daniela Rojas
This network shows the impact of papers produced by Daniela Rojas. 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 Rojas. The network helps show where Daniela Rojas may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Rojas, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 33 | |
| 2 | 2014 | 30 | |
| 3 | 2022 | 20 | |
| 4 | 2017 | 18 | |
| 5 | 2023 | 15 | |
| 6 | 2020 | 11 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 9 | |
| 9 | 2020 | 8 | |
| 10 | 2020 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2020 | 8 | |
| 13 | 2020 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2019 | 4 | |
| 20 | 2015 | 4 |
About Daniela Rojas
Daniela Rojas is a scholar working on Surgery, Genetics, Molecular Biology, Immunology and Genetics, having authored 24 papers that have together received 225 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (9 papers), Tissue Engineering and Regenerative Medicine (8 papers), Reproductive System and Pregnancy (4 papers), Wound Healing and Treatments (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Reproductive Physiology in Livestock (3 papers), Virus-based gene therapy research (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Genetics (97 citations), Equine (6 citations), Rehabilitation (16 citations), Immunology (47 citations) and Surgery (83 citations). Daniela Rojas has collaborated with scholars based in Chile, United States and Canada. Frequent co-authors include L. Rodríguez-Álvarez, J. Cabezas, F. Saravia, Fidel Ovídio Castro, Gonzalo Rivera, Carlos Escudero, Yat Sen Wong, C. Aguilera, Diana Echeverry and Valeska Ormazábal. Their work appears in journals such as International Journal of Molecular Sciences, Animals, Reproduction Fertility and Development, Reproduction in Domestic Animals and Theriogenology.
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.