Emily H. Chan

14 total papers · 1.2k total citations
11 papers, 853 citations indexed

About

Emily H. Chan is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Modeling and Simulation. According to data from OpenAlex, Emily H. Chan has authored 11 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Modeling and Simulation. Recurrent topics in Emily H. Chan's work include Data-Driven Disease Surveillance (8 papers), Influenza Virus Research Studies (5 papers) and COVID-19 epidemiological studies (4 papers). Emily H. Chan is often cited by papers focused on Data-Driven Disease Surveillance (8 papers), Influenza Virus Research Studies (5 papers) and COVID-19 epidemiological studies (4 papers). Emily H. Chan collaborates with scholars based in United States, Canada and Tunisia. Emily H. Chan's co-authors include John S. Brownstein, Clark C. Freifeld, Sumiko R. Mekaru, Rumi Chunara, Mikaela Keller, Taha Kass‐Hout, Marjorie Pollack, William G. Williams, Brian W. McCrindle and Lawrence C. Madoff and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and PLoS Medicine.

In The Last Decade

Emily H. Chan

11 papers receiving 802 citations

Author Peers

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

Author						Papers	Cites
Emily H. Chan	413	271	191	156	111	11	853
John Edmunds	426 1.0×	99 0.4×	197 1.0×	163 1.0×	40 0.4×	16	814
César V. Munayco	450 1.1×	309 1.1×	296 1.5×	380 2.4×	59 0.5×	45	978
Ryan Fagan	260 0.6×	98 0.4×	221 1.2×	183 1.2×	47 0.4×	28	906
Herman Carneiro	596 1.4×	56 0.2×	95 0.5×	272 1.7×	144 1.3×	17	1.0k
Clark C. Freifeld	541 1.3×	421 1.6×	147 0.8×	138 0.9×	137 1.2×	16	968
Abla Mawudeku	459 1.1×	276 1.0×	158 0.8×	155 1.0×	125 1.1×	16	763
Philippe Barboza	525 1.3×	181 0.7×	143 0.7×	209 1.3×	47 0.4×	19	753
Carter Mecher	319 0.8×	64 0.2×	317 1.7×	121 0.8×	75 0.7×	17	856
P E Fine	336 0.8×	87 0.3×	270 1.4×	479 3.1×	121 1.1×	9	1.0k
Gabrielle Brankston	349 0.8×	108 0.4×	242 1.3×	234 1.5×	26 0.2×	18	857

Countries citing papers authored by Emily H. Chan

Since Specialization

Citations

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

Fields of papers citing papers by Emily H. Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily H. Chan. 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 Emily H. Chan. The network helps show where Emily H. Chan may publish in the future.

Co-authorship network of co-authors of Emily H. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Emily H. Chan. A scholar is included among the top collaborators of Emily H. Chan 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 Emily H. Chan. Emily H. Chan 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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