Daniela Rodriguez-Rincon
Impact in
-
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Mycobacterium research and diagnosis 2
-
- Zoonotic diseases and public health 1
- Co-authors
- Albertus Viljoen (1 shared paper)Isobel Everall (2 shared papers)R. Andres Floto (1 shared paper)Ana Victoria Gutiérrez (1 shared paper)Françoise Roquet‐Banères (1 shared paper)Mickaël Blaise (1 shared paper)Laurent Kremer (1 shared paper)Julian Parkhill (2 shared papers)
- Journals
- Thorax (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)RAND Corporation eBooks (6 papers)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Daniela Rodriguez-Rincon
8 papers receiving 103 citations
Peers
Comparison fields: 5 of 49
- Infectious Diseases 58
- Microbiology 2
- Small Animals 18
- Epidemiology 65
- Molecular Medicine 6
Countries citing papers authored by Daniela Rodriguez-Rincon
This map shows the geographic impact of Daniela Rodriguez-Rincon'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 Rodriguez-Rincon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Rodriguez-Rincon more than expected).
Fields of papers citing papers by Daniela Rodriguez-Rincon
This network shows the impact of papers produced by Daniela Rodriguez-Rincon. 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 Rodriguez-Rincon. The network helps show where Daniela Rodriguez-Rincon may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Rodriguez-Rincon, 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 | 2018 | 66 | |
| 2 | 2022 | 11 | |
| 3 | 2019 | 8 | |
| 4 | 2019 | 7 | |
| 5 | 2019 | 4 | |
| 6 | 2022 | 3 | |
| 7 | Assessment of Electronic Health Records for Infectious Disease Surveillance: Final Mapping Exercise Report | 2021 | 3 |
| 8 | 2019 | 2 | |
| 9 | 2016 | 0 |
About Daniela Rodriguez-Rincon
Daniela Rodriguez-Rincon is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Infectious Diseases, Small Animals and Pathology and Forensic Medicine, having authored 9 papers that have together received 104 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (2 papers), Health Sciences Research and Education (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Economic and Financial Impacts of Cancer (1 paper), Evaluation and Performance Assessment (1 paper), Zoonotic diseases and public health (1 paper), Regional Development and Environment (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Infectious Diseases (58 citations), Microbiology (2 citations), Small Animals (18 citations), Epidemiology (65 citations) and Molecular Medicine (6 citations). Daniela Rodriguez-Rincon has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Albertus Viljoen, Isobel Everall, R. Andres Floto, Ana Victoria Gutiérrez, Françoise Roquet‐Banères, Mickaël Blaise, Laurent Kremer, Julian Parkhill, Catriona Manville and Sonja Marjanovic. Their work appears in journals such as Thorax, Antimicrobial Agents and Chemotherapy and RAND Corporation eBooks.
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.