Elisa Donnard
Impact in
-
- Viral Infections and Outbreaks Research
- Viral Infections and Vectors
-
- Cancer Genomics and Diagnostics
Papers in
-
- RNA modifications and cancer 3
- RNA Research and Splicing 2
- Oncology 4
- Colorectal Cancer Treatments and Studies 2
- Colorectal Cancer Surgical Treatments 2
- Co-authors
- Manuel Garber (6 shared papers)Oliver J. Rando (2 shared papers)Helena Gustafsson (1 shared paper)Alper Küçükural (3 shared papers)Huan Shu (2 shared papers)Sean Matthew McCauley (2 shared papers)Pedro A. F. Galante (6 shared papers)William E. Diehl (2 shared papers)
- Journals
- PLoS Genetics (2 papers)Oncotarget (2 papers)BMC Bioinformatics (1 paper)Nature Neuroscience (1 paper)Molecular Cell (1 paper)
- Partner nations
- BrazilUnited StatesGermany
In The Last Decade
Elisa Donnard
16 papers receiving 537 citations
Peers
Comparison fields: 5 of 81
- Infectious Diseases 104
- Cancer Research 83
- Sensory Systems 26
- Molecular Biology 297
- Modeling and Simulation 17
Countries citing papers authored by Elisa Donnard
This map shows the geographic impact of Elisa Donnard'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 Elisa Donnard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisa Donnard more than expected).
Fields of papers citing papers by Elisa Donnard
This network shows the impact of papers produced by Elisa Donnard. 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 Elisa Donnard. The network helps show where Elisa Donnard may publish in the future.
Co-authors
The 25 scholars most cited alongside Elisa Donnard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 124 | |
| 2 | 2017 | 111 | |
| 3 | 2020 | 55 | |
| 4 | 2015 | 45 | |
| 5 | 2020 | 44 | |
| 6 | 2011 | 38 | |
| 7 | 2022 | 36 | |
| 8 | 2014 | 23 | |
| 9 | 2019 | 20 | |
| 10 | 2018 | 14 | |
| 11 | 2011 | 10 | |
| 12 | 2019 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2015 | 4 | |
| 15 | 2014 | 4 | |
| 16 | 2020 | 2 | |
| 17 | 2014 | 0 |
About Elisa Donnard
Elisa Donnard is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Sensory Systems, having authored 17 papers that have together received 545 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (3 papers), Cancer Genomics and Diagnostics (3 papers), RNA modifications and cancer (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Olfactory and Sensory Function Studies (2 papers), RNA Research and Splicing (2 papers) and Colorectal Cancer Surgical Treatments (2 papers). The work is most often cited by research in Infectious Diseases (104 citations), Cancer Research (83 citations), Sensory Systems (26 citations), Molecular Biology (297 citations) and Modeling and Simulation (17 citations). Elisa Donnard has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include Manuel Garber, Oliver J. Rando, Helena Gustafsson, Alper Küçükural, Huan Shu, Sean Matthew McCauley, Pedro A. F. Galante, William E. Diehl, Jeremy Luban and Patrick McDonel. Their work appears in journals such as PLoS Genetics, Oncotarget, BMC Bioinformatics, Nature Neuroscience and Molecular Cell.
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.