Tiffany Leung

19 total papers · 1.4k total citations
10 papers, 802 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 802 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), Vaccine Coverage and Hesitancy (3 papers) and Vibrio bacteria research studies (3 papers). Tiffany Leung is often cited by papers focused on COVID-19 epidemiological studies (4 papers), Vaccine Coverage and Hesitancy (3 papers) and Vibrio bacteria research studies (3 papers). Tiffany Leung collaborates with scholars based in United States and Australia. Tiffany Leung's co-authors include Laura Matrajt, Julia Eaton, Elizabeth R. Brown, Stephen Davis, Holly Janes, David A. Swan, Joshua T. Schiffer, Dobromir Dimitrov, Leonid Churilov and Bruce Campbell and has published in prestigious journals such as Nature Communications, PLoS ONE and Science Advances.

In The Last Decade

Tiffany Leung

10 papers receiving 788 citations

Hit Papers

Vaccine optimization for ... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tiffany Leung 451 322 218 156 117 10 802
Frederik Verelst 388 0.9× 201 0.6× 224 1.0× 184 1.2× 119 1.0× 25 781
Gregory Barnsley 265 0.6× 560 1.7× 331 1.5× 101 0.6× 81 0.7× 8 903
Wei Wang 704 1.6× 397 1.2× 86 0.4× 208 1.3× 189 1.6× 10 1.0k
Joshua Teperowski Monrad 510 1.1× 229 0.7× 107 0.5× 119 0.8× 233 2.0× 11 879
Megan O’Driscoll 292 0.6× 476 1.5× 107 0.5× 144 0.9× 93 0.8× 18 867
Xinghui Chen 370 0.8× 580 1.8× 243 1.1× 99 0.6× 54 0.5× 17 821
Shanlu Zhao 705 1.6× 412 1.3× 82 0.4× 201 1.3× 188 1.6× 6 1.0k
Cécile Tran Kiem 492 1.1× 491 1.5× 105 0.5× 141 0.9× 143 1.2× 20 877
Thomas N. Vilches 424 0.9× 488 1.5× 317 1.5× 104 0.7× 116 1.0× 32 824
Francesco Pinotti 617 1.4× 354 1.1× 98 0.4× 111 0.7× 332 2.8× 12 990

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

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026