Daniela Olivera Mesa

1.5k citations
8 papers · 96 indexed · h-index 6
Topics
COVID-19 epidemiological studies (6 papers)Vaccine Coverage and Hesitancy (5 papers)SARS-CoV-2 and COVID-19 Research (4 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS Medicine

In The Last Decade

Daniela Olivera Mesa

7 papers receiving 95 citations

Peers

Daniela Olivera Mesa
Comparison fields: 5 of 39
  • Infectious Diseases 47
  • Health 45
  • Modeling and Simulation 34
  • Public Health, Environmental and Occupational Health 21
  • Sociology and Political Science 16
Replace Rapty Sarker with:
Rapty Sarker Bangladesh
Giovanni Charles United Kingdom
Shahraz Qamar United States
Shareef Abrahams South Africa
María García González United Kingdom
Rohani Jahis Malaysia
Kelvin K. H. Kwan Hong Kong
Vance Brown United States
Yuelong Shu China
Ramat T. Kamorudeen Nigeria
Daniela Olivera Mesa relative to Rapty Sarker Bangladesh Rapty Sarker's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniela Olivera Mesa

Since Specialization
Citations

This map shows the geographic impact of Daniela Olivera Mesa'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 Olivera Mesa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Olivera Mesa more than expected).

Fields of papers citing papers by Daniela Olivera Mesa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Olivera Mesa. 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 Olivera Mesa. The network helps show where Daniela Olivera Mesa may publish in the future.

Co-authorship network of co-authors of Daniela Olivera Mesa

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Olivera Mesa. A scholar is included among the top collaborators of Daniela Olivera Mesa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela Olivera Mesa. Daniela Olivera Mesa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 0
2 6
3 15
4 1
5 7
6 5
7 42
8 20

About Daniela Olivera Mesa

Daniela Olivera Mesa is a scholar working on Modeling and Simulation, Health and Infectious Diseases, having authored 8 papers that have together received 96 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Vaccine Coverage and Hesitancy (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Modeling and Simulation (34 citations), Health (45 citations) and Infectious Diseases (47 citations). Daniela Olivera Mesa has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Peter Winskill, Azra C. Ghani, Katharina Hauck, Oliver J. Watson, Giovanni Charles, Alexandra B. Hogan, Joseph D. Challenger, Thierry Léfèvre, Thomas S. Churcher and Anna Cohuet. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS Medicine.

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.

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