Ada W. C. Yan

42 total papers · 952 total citations
21 papers, 402 citations indexed

About

Ada W. C. Yan is a scholar working on Epidemiology, Modeling and Simulation and Immunology. According to data from OpenAlex, Ada W. C. Yan has authored 21 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 8 papers in Modeling and Simulation and 6 papers in Immunology. Recurrent topics in Ada W. C. Yan's work include Influenza Virus Research Studies (9 papers), COVID-19 epidemiological studies (8 papers) and Immune Cell Function and Interaction (6 papers). Ada W. C. Yan is often cited by papers focused on Influenza Virus Research Studies (9 papers), COVID-19 epidemiological studies (8 papers) and Immune Cell Function and Interaction (6 papers). Ada W. C. Yan collaborates with scholars based in United Kingdom, Australia and Canada. Ada W. C. Yan's co-authors include James M. McCaw, Pengxing Cao, Jane M. Heffernan, Jodie McVernon, Karen Laurie, Teagan Guarnaccia, Anne Kelso, Ian Barr, Stephen Petrie and Louise Carolan and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and PLoS ONE.

In The Last Decade

Ada W. C. Yan

20 papers receiving 396 citations

Author Peers

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

Author Last Decade Papers Cites
Ada W. C. Yan 194 136 134 83 43 21 402
A. Roche 203 1.0× 172 1.3× 57 0.4× 6 0.1× 17 0.4× 27 401
Jinren Pan 151 0.8× 151 1.1× 107 0.8× 34 0.4× 59 1.4× 30 406
Stephen Petrie 308 1.6× 91 0.7× 69 0.5× 83 1.0× 27 0.6× 20 388
Benjamin P. Holder 236 1.2× 127 0.9× 99 0.7× 64 0.8× 80 1.9× 10 364
Alla Heider 375 1.9× 127 0.9× 71 0.5× 60 0.7× 26 0.6× 15 445
Jason Asher 171 0.9× 132 1.0× 93 0.7× 32 0.4× 57 1.3× 15 346
Sebastian C. Binder 102 0.5× 123 0.9× 133 1.0× 104 1.3× 60 1.4× 14 355
Christopher H. Hsu 171 0.9× 175 1.3× 41 0.3× 57 0.7× 47 1.1× 27 377
Teagan Guarnaccia 350 1.8× 105 0.8× 62 0.5× 116 1.4× 24 0.6× 9 399
Adriana Cervantes-Medina 217 1.1× 152 1.1× 36 0.3× 90 1.1× 43 1.0× 15 354

Countries citing papers authored by Ada W. C. Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ada W. C. Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ada W. C. Yan. 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 Ada W. C. Yan. The network helps show where Ada W. C. Yan may publish in the future.

Co-authorship network of co-authors of Ada W. C. Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Ada W. C. Yan. A scholar is included among the top collaborators of Ada W. C. Yan 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 Ada W. C. Yan. Ada W. C. Yan 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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