Daniel Da Costa
Impact in
- Hepatology top 10%
- Hepatitis C virus research
-
- HIV Research and Treatment
Papers in
- Oncology 7
- Lung Cancer Research Studies 3
- Peptidase Inhibition and Analysis 2
-
- Hepatitis B Virus Studies 2
- Co-authors
- Mirjam B. Zeisel (1 shared paper)Marine Turek (1 shared paper)Gang Long (1 shared paper)Daniel J. Felmlee (1 shared paper)Sébastien Pfeffer (1 shared paper)Thomas F. Baumert (1 shared paper)Ralf Bartenschlager (1 shared paper)Erika Girardi (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)JMIR Medical Education (2 papers)JMIR Aging (2 papers)Journal of Virology (2 papers)Tetrahedron Letters (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Daniel Da Costa
24 papers receiving 300 citations
Peers
Comparison fields: 5 of 81
- Hepatology 75
- Virology 17
- Health Informatics 3
- Epidemiology 69
- Biomaterials 26
Countries citing papers authored by Daniel Da Costa
This map shows the geographic impact of Daniel Da Costa'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 Daniel Da Costa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Da Costa more than expected).
Fields of papers citing papers by Daniel Da Costa
This network shows the impact of papers produced by Daniel Da Costa. 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 Daniel Da Costa. The network helps show where Daniel Da Costa may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Da Costa, 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 | 2012 | 73 | |
| 2 | 2005 | 55 | |
| 3 | 2002 | 38 | |
| 4 | 2017 | 26 | |
| 5 | 2012 | 21 | |
| 6 | 2012 | 15 | |
| 7 | 2019 | 14 | |
| 8 | 2022 | 12 | |
| 9 | 2024 | 11 | |
| 10 | 2023 | 8 | |
| 11 | 2018 | 6 | |
| 12 | 1997 | 5 | |
| 13 | 2020 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2020 | 3 | |
| 16 | 2009 | 3 | |
| 17 | 2017 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2016 | 2 |
About Daniel Da Costa
Daniel Da Costa is a scholar working on Oncology, Epidemiology, Neurology, General Health Professions and Public Health, Environmental and Occupational Health, having authored 24 papers that have together received 314 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (3 papers), Neuroblastoma Research and Treatments (3 papers), Telemedicine and Telehealth Implementation (3 papers), Lung Cancer Research Studies (3 papers), Mobile Health and mHealth Applications (3 papers), Peptidase Inhibition and Analysis (2 papers), Hepatitis B Virus Studies (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Hepatology (75 citations), Virology (17 citations), Health Informatics (3 citations), Epidemiology (69 citations) and Biomaterials (26 citations). Daniel Da Costa has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Mirjam B. Zeisel, Marine Turek, Gang Long, Daniel J. Felmlee, Sébastien Pfeffer, Thomas F. Baumert, Ralf Bartenschlager, Erika Girardi, Neil R. Cameron and A. Maldjian. Their work appears in journals such as Journal of Clinical Oncology, JMIR Medical Education, JMIR Aging, Journal of Virology and Tetrahedron Letters.
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.