Tini Garske

4.0k total citations
41 papers, 1.9k citations indexed

About

Tini Garske is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Modeling and Simulation. According to data from OpenAlex, Tini Garske has authored 41 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Public Health, Environmental and Occupational Health, 19 papers in Infectious Diseases and 18 papers in Modeling and Simulation. Recurrent topics in Tini Garske's work include COVID-19 epidemiological studies (18 papers), Mosquito-borne diseases and control (17 papers) and Viral Infections and Vectors (11 papers). Tini Garske is often cited by papers focused on COVID-19 epidemiological studies (18 papers), Mosquito-borne diseases and control (17 papers) and Viral Infections and Vectors (11 papers). Tini Garske collaborates with scholars based in United Kingdom, France and Switzerland. Tini Garske's co-authors include Neil M. Ferguson, Azra C. Ghani, Christl A. Donnelly, Maria D. Van Kerkhove, Christophe Fraser, Arran Hamlet, Sergio Yactayo, William Perea, Kévin Jean and Katy A. M. Gaythorpe and has published in prestigious journals such as Nature, Nature Communications and PLoS ONE.

In The Last Decade

Tini Garske

41 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tini Garske United Kingdom 25 887 841 608 504 168 41 1.9k
Laurent Coudeville France 24 999 1.1× 797 0.9× 307 0.5× 734 1.5× 74 0.4× 68 2.0k
Eben Kenah United States 23 711 0.8× 1.2k 1.4× 966 1.6× 1.3k 2.7× 292 1.7× 47 2.7k
Manoj Murhekar India 30 797 0.9× 1.5k 1.7× 318 0.5× 634 1.3× 125 0.7× 170 2.8k
Daniel G. Bausch United States 29 561 0.6× 3.1k 3.7× 470 0.8× 767 1.5× 100 0.6× 110 3.9k
Lucille Blumberg South Africa 26 663 0.7× 879 1.0× 224 0.4× 718 1.4× 47 0.3× 114 2.2k
G Rodier Switzerland 18 393 0.4× 950 1.1× 307 0.5× 460 0.9× 130 0.8× 47 1.6k
Najmul Haider United Kingdom 26 658 0.7× 944 1.1× 232 0.4× 543 1.1× 376 2.2× 72 2.0k
Gowri Gopalakrishna Netherlands 12 412 0.5× 633 0.8× 794 1.3× 313 0.6× 57 0.3× 20 1.7k
Jean-Paul Chrétien United States 17 617 0.7× 683 0.8× 278 0.5× 387 0.8× 78 0.5× 49 1.6k
Martial L. Ndeffo-Mbah United States 27 658 0.7× 1.1k 1.3× 786 1.3× 807 1.6× 37 0.2× 78 2.5k

Countries citing papers authored by Tini Garske

Since Specialization
Citations

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

Fields of papers citing papers by Tini Garske

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tini Garske. 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 Tini Garske. The network helps show where Tini Garske may publish in the future.

Co-authorship network of co-authors of Tini Garske

This figure shows the co-authorship network connecting the top 25 collaborators of Tini Garske. A scholar is included among the top collaborators of Tini Garske 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 Tini Garske. Tini Garske is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hamlet, Arran, Katy A. M. Gaythorpe, Tini Garske, & Neil M. Ferguson. (2021). Seasonal and inter-annual drivers of yellow fever transmission in South America. PLoS neglected tropical diseases. 15(1). e0008974–e0008974. 17 indexed citations
2.
Echeverría-Londoño, Susy, Xiang Li, Jaspreet Toor, et al.. (2021). How can the public health impact of vaccination be estimated?. BMC Public Health. 21(1). 2049–2049. 14 indexed citations
3.
Gaythorpe, Katy A. M., Arran Hamlet, Kévin Jean, et al.. (2021). The global burden of yellow fever. eLife. 10. 70 indexed citations
4.
Gaythorpe, Katy A. M., Arran Hamlet, Laurence Cibrelus, Tini Garske, & Neil M. Ferguson. (2020). The effect of climate change on yellow fever disease burden in Africa. eLife. 9. 32 indexed citations
5.
Gaythorpe, Katy A. M., Kévin Jean, Laurence Cibrelus, & Tini Garske. (2019). Quantifying model evidence for yellow fever transmission routes in Africa. PLoS Computational Biology. 15(9). e1007355–e1007355. 14 indexed citations
6.
Fronterrè, Claudio, et al.. (2019). Mapping the baseline prevalence of lymphatic filariasis across Nigeria. Parasites & Vectors. 12(1). 440–440. 18 indexed citations
7.
Dorigatti, Ilaria, et al.. (2019). Risk of yellow fever virus importation into the United States from Brazil, outbreak years 2016–2017 and 2017–2018. Scientific Reports. 9(1). 20420–20420. 5 indexed citations
8.
Hamlet, Arran, Kévin Jean, Sergio Yactayo, et al.. (2019). POLICI: A web application for visualising and extracting yellow fever vaccination coverage in Africa. Vaccine. 37(11). 1384–1388. 11 indexed citations
9.
Garske, Tini, et al.. (2019). The social, physical and economic impact of lymphedema and hydrocele: a matched cross-sectional study in rural Nigeria. BMC Infectious Diseases. 19(1). 332–332. 22 indexed citations
10.
Cano, Jorge, et al.. (2018). Environmental suitability for lymphatic filariasis in Nigeria. Parasites & Vectors. 11(1). 513–513. 26 indexed citations
11.
Nouvellet, Pierre, Anne Cori, Tini Garske, et al.. (2017). A simple approach to measure transmissibility and forecast incidence. Epidemics. 22. 29–35. 39 indexed citations
12.
Nouvellet, Pierre, Tini Garske, Harriet L. Mills, et al.. (2015). The role of rapid diagnostics in managing Ebola epidemics. Nature. 528(7580). S109–S116. 78 indexed citations
13.
Lessler, Justin, Isabel Rodríguez-Barraquer, Derek A. T. Cummings, et al.. (2014). Estimating Potential Incidence of MERS-CoV Associated with Hajj Pilgrims to Saudi Arabia, 2014. PLoS Currents. 6. 28 indexed citations
14.
Walker, Patrick, Feiko O. ter Kuile, Tini Garske, Clara Menéndez, & Azra C. Ghani. (2014). Estimated risk of placental infection and low birthweight attributable to Plasmodium falciparum malaria in Africa in 2010: a modelling study. The Lancet Global Health. 2(8). e460–e467. 96 indexed citations
15.
Garske, Tini, Neil M. Ferguson, & Azra C. Ghani. (2013). Estimating Air Temperature and Its Influence on Malaria Transmission across Africa. PLoS ONE. 8(2). e56487–e56487. 51 indexed citations
16.
Cairns, Matthew, Arantxa Roca‐Feltrer, Tini Garske, et al.. (2012). Estimating the potential public health impact of seasonal malaria chemoprevention in African children. Nature Communications. 3(1). 881–881. 120 indexed citations
17.
Garske, Tini, Hongjie Yu, Zhibin Peng, et al.. (2011). Travel Patterns in China. PLoS ONE. 6(2). e16364–e16364. 28 indexed citations
18.
Ghani, Azra C., Marc Baguelin, Jamie T. Griffin, et al.. (2010). The Early Transmission Dynamics of H1N1pdm Influenza in the United Kingdom. PLoS Currents. 1. RRN1130–RRN1130. 88 indexed citations
19.
Garske, Tini & Christopher J. Rhodes. (2008). The effect of superspreading on epidemic outbreak size distributions. Journal of Theoretical Biology. 253(2). 228–237. 42 indexed citations
20.
Garske, Tini, Paul Clarke, & Azra C. Ghani. (2007). The Transmissibility of Highly Pathogenic Avian Influenza in Commercial Poultry in Industrialised Countries. PLoS ONE. 2(4). e349–e349. 54 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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