Emily Cohn

46 total papers · 1.9k total citations
23 papers, 703 citations indexed

About

Emily Cohn is a scholar working on Epidemiology, Modeling and Simulation and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Emily Cohn has authored 23 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 8 papers in Modeling and Simulation and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Emily Cohn's work include Data-Driven Disease Surveillance (11 papers), COVID-19 epidemiological studies (8 papers) and Viral Infections and Outbreaks Research (5 papers). Emily Cohn is often cited by papers focused on Data-Driven Disease Surveillance (11 papers), COVID-19 epidemiological studies (8 papers) and Viral Infections and Outbreaks Research (5 papers). Emily Cohn collaborates with scholars based in United States, United Kingdom and Germany. Emily Cohn's co-authors include John S. Brownstein, Moritz U. G. Kraemer, Maimuna S. Majumder, Sumiko R. Mekaru, Freya M. Shearer, Thomas Jaenisch, Peter W. Gething, Andrew J. Tatem, Maria de Fátima Marinho de Souza and David M. Pigott and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Lancet Infectious Diseases.

In The Last Decade

Emily Cohn

21 papers receiving 683 citations

Hit Papers

Mapping global environmen... 2016 2026 2019 2022 2016 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
Emily Cohn 302 250 237 182 81 23 703
Emily H. Chan 271 0.9× 156 0.6× 191 0.8× 413 2.3× 71 0.9× 11 853
James H. Stark 219 0.7× 313 1.3× 151 0.6× 324 1.8× 79 1.0× 76 908
Teresa K. Yamana 267 0.9× 207 0.8× 399 1.7× 258 1.4× 41 0.5× 24 851
Isha Berry 171 0.6× 224 0.9× 187 0.8× 143 0.8× 62 0.8× 47 667
Dina Mistry 178 0.6× 258 1.0× 408 1.7× 118 0.6× 42 0.5× 13 649
Deepa Pindolia 378 1.3× 91 0.4× 199 0.8× 127 0.7× 30 0.4× 15 750
Gail E. Potter 118 0.4× 162 0.6× 378 1.6× 383 2.1× 37 0.5× 15 687
Corey M. Peak 106 0.4× 247 1.0× 342 1.4× 133 0.7× 47 0.6× 13 669
Michael R. Desjardins 145 0.5× 68 0.3× 439 1.9× 366 2.0× 80 1.0× 38 756
David Champredon 167 0.6× 353 1.4× 369 1.6× 154 0.8× 45 0.6× 34 767

Countries citing papers authored by Emily Cohn

Since Specialization
Citations

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

Fields of papers citing papers by Emily Cohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily Cohn

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