Daniela Olivera Mesa

1.5k total citations
8 papers, 96 citations indexed

About

Daniela Olivera Mesa is a scholar working on Modeling and Simulation, Health and Infectious Diseases. According to data from OpenAlex, Daniela Olivera Mesa has authored 8 papers receiving a total of 96 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Modeling and Simulation, 5 papers in Health and 4 papers in Infectious Diseases. Recurrent topics in Daniela Olivera Mesa's work include COVID-19 epidemiological studies (6 papers), Vaccine Coverage and Hesitancy (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Daniela Olivera Mesa is often cited by papers focused on COVID-19 epidemiological studies (6 papers), Vaccine Coverage and Hesitancy (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Daniela Olivera Mesa collaborates with scholars based in United Kingdom, Australia and United States. Daniela Olivera Mesa's 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 and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS Medicine.

In The Last Decade

Daniela Olivera Mesa

7 papers receiving 95 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniela Olivera Mesa United Kingdom 6 47 45 34 21 16 8 96
Rapty Sarker Bangladesh 8 67 1.4× 28 0.6× 23 0.7× 31 1.5× 11 0.7× 17 154
Giovanni Charles United Kingdom 6 99 2.1× 86 1.9× 92 2.7× 20 1.0× 17 1.1× 12 158
Shahraz Qamar United States 4 49 1.0× 16 0.4× 16 0.5× 12 0.6× 11 0.7× 6 134
Yuelong Shu China 7 56 1.2× 17 0.4× 63 1.9× 8 0.4× 13 0.8× 15 145
María García González United Kingdom 5 94 2.0× 39 0.9× 29 0.9× 10 0.5× 3 0.2× 9 138
Agnese Zardini Italy 7 153 3.3× 65 1.4× 95 2.8× 17 0.8× 5 0.3× 14 198
Kelvin K. H. Kwan Hong Kong 3 114 2.4× 32 0.7× 31 0.9× 5 0.2× 6 0.4× 3 139
Shareef Abrahams South Africa 4 90 1.9× 59 1.3× 30 0.9× 10 0.5× 8 0.5× 5 119
Ramat T. Kamorudeen Nigeria 4 57 1.2× 8 0.2× 32 0.9× 19 0.9× 5 0.3× 8 101
Reza Maulana Indonesia 5 26 0.6× 8 0.2× 29 0.9× 34 1.6× 17 1.1× 34 106

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
1.
Whittaker, Charles, Gregory Barnsley, Daniela Olivera Mesa, et al.. (2025). Quantifying the impact of a broadly protective sarbecovirus vaccine in a future SARS-X pandemic. Nature Communications. 16(1). 8495–8495.
2.
Barnsley, Gregory, Daniela Olivera Mesa, Alexandra B. Hogan, et al.. (2024). Impact of the 100 days mission for vaccines on COVID-19: a mathematical modelling study. The Lancet Global Health. 12(11). e1764–e1774. 6 indexed citations
3.
Hogan, Alexandra B., Patrick Doohan, Sean L. Wu, et al.. (2023). Estimating long-term vaccine effectiveness against SARS-CoV-2 variants: a model-based approach. Nature Communications. 14(1). 4325–4325. 15 indexed citations
4.
Mesa, Daniela Olivera, Peter Winskill, Azra C. Ghani, & Katharina Hauck. (2023). The Societal Cost of Vaccine Refusal: A Modelling Study Using Measles Vaccination as a Case Study. SSRN Electronic Journal. 1 indexed citations
5.
Hogan, Alexandra B., Sean L. Wu, Jaspreet Toor, et al.. (2023). Long-term vaccination strategies to mitigate the impact of SARS-CoV-2 transmission: A modelling study. PLoS Medicine. 20(11). e1004195–e1004195. 7 indexed citations
6.
Mesa, Daniela Olivera, Peter Winskill, Azra C. Ghani, & Katharina Hauck. (2023). The societal cost of vaccine refusal: A modelling study using measles vaccination as a case study. Vaccine. 41(28). 4129–4137. 5 indexed citations
7.
Mesa, Daniela Olivera, Alexandra B. Hogan, Oliver J. Watson, et al.. (2022). Modelling the impact of vaccine hesitancy in prolonging the need for Non-Pharmaceutical Interventions to control the COVID-19 pandemic. SHILAP Revista de lepidopterología. 2(1). 14–14. 42 indexed citations
8.
Challenger, Joseph D., Daniela Olivera Mesa, Rakiswendé Serge Yerbanga, et al.. (2021). Predicting the public health impact of a malaria transmission-blocking vaccine. Nature Communications. 12(1). 1494–1494. 20 indexed citations

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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2026