Tiffany Leung

1.5k total citations · 1 hit paper
10 papers, 810 citations indexed

About

Tiffany Leung is a scholar working on Epidemiology, Endocrinology and Modeling and Simulation. According to data from OpenAlex, Tiffany Leung has authored 10 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 4 papers in Endocrinology and 4 papers in Modeling and Simulation. Recurrent topics in Tiffany Leung's work include COVID-19 epidemiological studies (4 papers), Vibrio bacteria research studies (3 papers) and Vaccine Coverage and Hesitancy (3 papers). Tiffany Leung is often cited by papers focused on COVID-19 epidemiological studies (4 papers), Vibrio bacteria research studies (3 papers) and Vaccine Coverage and Hesitancy (3 papers). Tiffany Leung collaborates with scholars based in United States, Australia and South Africa. Tiffany Leung's co-authors include Laura Matrajt, Julia Eaton, Elizabeth R. Brown, Stephen Davis, Joshua T. Schiffer, Holly Janes, Dobromir Dimitrov, David A. Swan, Bruce Campbell and S.A. Roberts and has published in prestigious journals such as Nature Communications, PLoS ONE and Science Advances.

In The Last Decade

Tiffany Leung

10 papers receiving 796 citations

Hit Papers

Vaccine optimization for COVID-19: Who to vaccinate first? 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tiffany Leung United States 8 458 327 219 157 117 10 810
Frederik Verelst Belgium 13 394 0.9× 202 0.6× 227 1.0× 192 1.2× 120 1.0× 26 797
Rebecca Kahn United States 18 498 1.1× 523 1.6× 200 0.9× 204 1.3× 93 0.8× 45 978
Shaun Truelove United States 19 364 0.8× 375 1.1× 262 1.2× 316 2.0× 77 0.7× 35 1.1k
Valentina Marziano Italy 15 483 1.1× 436 1.3× 164 0.7× 210 1.3× 102 0.9× 36 903
Thomas N. Vilches Canada 11 435 0.9× 498 1.5× 319 1.5× 104 0.7× 116 1.0× 33 837
Kylie E. C. Ainslie United Kingdom 14 478 1.0× 530 1.6× 136 0.6× 225 1.4× 157 1.3× 35 950
Gregory Barnsley United Kingdom 6 266 0.6× 574 1.8× 332 1.5× 101 0.6× 81 0.7× 8 922
Cécile Tran Kiem France 11 491 1.1× 488 1.5× 105 0.5× 138 0.9× 143 1.2× 20 889
Megan O’Driscoll United Kingdom 9 298 0.7× 483 1.5× 107 0.5× 147 0.9× 93 0.8× 18 880

Countries citing papers authored by Tiffany Leung

Since Specialization
Citations

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

Fields of papers citing papers by Tiffany Leung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiffany Leung

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

All Works

10 of 10 papers shown
1.
Leung, Tiffany, Julia Eaton, & Laura Matrajt. (2022). Optimizing one-dose and two-dose cholera vaccine allocation in outbreak settings: A modeling study. PLoS neglected tropical diseases. 16(4). e0010358–e0010358. 8 indexed citations
2.
Matrajt, Laura, Julia Eaton, Tiffany Leung, et al.. (2021). Optimizing vaccine allocation for COVID-19 vaccines shows the potential role of single-dose vaccination. Nature Communications. 12(1). 3449–3449. 102 indexed citations
3.
Matrajt, Laura, Julia Eaton, Tiffany Leung, & Elizabeth R. Brown. (2021). Vaccine optimization for COVID-19: Who to vaccinate first?. Science Advances. 7(6). 273 indexed citations breakdown →
4.
Leung, Tiffany & Laura Matrajt. (2021). Protection afforded by previous Vibrio cholerae infection against subsequent disease and infection: A review. PLoS neglected tropical diseases. 15(5). e0009383–e0009383. 12 indexed citations
5.
Matrajt, Laura & Tiffany Leung. (2020). Evaluating the Effectiveness of Social Distancing Interventions to Delay or Flatten the Epidemic Curve of Coronavirus Disease. Emerging infectious diseases. 26(8). 1740–1748. 288 indexed citations
6.
Leung, Tiffany & Laura Matrajt. (2020). Immune responses to cholera following natural infection: a review. medRxiv. 2 indexed citations
7.
Leung, Tiffany & Stephen Davis. (2017). Rabies Vaccination Targets for Stray Dog Populations. Frontiers in Veterinary Science. 4. 52–52. 31 indexed citations
8.
Leung, Tiffany, Barry D. Hughes, Federico Frascoli, & James M. McCaw. (2016). Periodic solutions in an SIRWS model with immune boosting and cross-immunity. Journal of Theoretical Biology. 410. 55–64. 7 indexed citations
9.
Churilov, Leonid, Sarah Arnup, Hannah Johns, et al.. (2014). An Improved Method for Simple, Assumption-Free Ordinal Analysis of the Modified Rankin Scale Using Generalized Odds Ratios. International Journal of Stroke. 9(8). 999–1005. 42 indexed citations
10.
Rosenthal, Joseph, Chung‐Jr Huang, Anne M. Doody, et al.. (2014). Mechanistic Insight into the TH1-Biased Immune Response to Recombinant Subunit Vaccines Delivered by Probiotic Bacteria-Derived Outer Membrane Vesicles. PLoS ONE. 9(11). e112802–e112802. 45 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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