Yusha Tao

28 total papers · 749 total citations
17 papers, 424 citations indexed

About

Yusha Tao is a scholar working on Infectious Diseases, Epidemiology and Economics and Econometrics. According to data from OpenAlex, Yusha Tao has authored 17 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 6 papers in Epidemiology and 5 papers in Economics and Econometrics. Recurrent topics in Yusha Tao's work include COVID-19 Pandemic Impacts (4 papers), COVID-19 epidemiological studies (4 papers) and Reproductive tract infections research (3 papers). Yusha Tao is often cited by papers focused on COVID-19 Pandemic Impacts (4 papers), COVID-19 epidemiological studies (4 papers) and Reproductive tract infections research (3 papers). Yusha Tao collaborates with scholars based in China, Australia and United States. Yusha Tao's co-authors include Lei Zhang, Christopher K. Fairley, Weiming Tang, Suzanne M. Garland, Magnus Unemo, Catriona S. Bradshaw, Dorothy A. Machalek, Hannah Shilling, Nicola Low and Eric P. F. Chow and has published in prestigious journals such as Clinical Infectious Diseases, Scientific Reports and PLoS Medicine.

In The Last Decade

Yusha Tao

17 papers receiving 416 citations

Author Peers

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

Author Last Decade Papers Cites
Yusha Tao 183 134 130 92 78 17 424
Alys Adamski 130 0.7× 104 0.8× 62 0.5× 80 0.9× 17 0.2× 29 482
Noël Gill 42 0.2× 265 2.0× 230 1.8× 57 0.6× 13 0.2× 26 494
Robert Samuel 17 0.1× 328 2.4× 95 0.7× 129 1.4× 20 0.3× 15 463
Karen M. Cost 35 0.2× 219 1.6× 98 0.8× 21 0.2× 43 0.6× 20 479
M F Smikle 46 0.3× 104 0.8× 97 0.7× 36 0.4× 35 0.4× 42 390
Curran Jw 51 0.3× 169 1.3× 189 1.5× 24 0.3× 8 0.1× 12 376
Susana Scott 38 0.2× 268 2.0× 93 0.7× 30 0.3× 8 0.1× 10 440
Philip V. Nguyen 58 0.3× 58 0.4× 48 0.4× 12 0.1× 62 0.8× 12 381
Ana Fuentes 135 0.7× 187 1.4× 173 1.3× 28 0.3× 23 0.3× 36 475
Sadao Jinno 53 0.3× 100 0.7× 156 1.2× 50 0.5× 62 0.8× 26 435

Countries citing papers authored by Yusha Tao

Since Specialization
Citations

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

Fields of papers citing papers by Yusha Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusha Tao

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

All Works

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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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