Megan Coffee

2.2k total citations
19 papers, 1.1k citations indexed

About

Megan Coffee is a scholar working on Infectious Diseases, Modeling and Simulation and Epidemiology. According to data from OpenAlex, Megan Coffee has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 5 papers in Modeling and Simulation and 4 papers in Epidemiology. Recurrent topics in Megan Coffee's work include COVID-19 epidemiological studies (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Influenza Virus Research Studies (3 papers). Megan Coffee is often cited by papers focused on COVID-19 epidemiological studies (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Influenza Virus Research Studies (3 papers). Megan Coffee collaborates with scholars based in United States, United Kingdom and Canada. Megan Coffee's co-authors include Alison P. Galvani, James O. Lloyd‐Smith, Chris T. Bauch, Mark N. Lurie, Geoff P. Garnett, Anasse Bari, Tianxiao Zhang, Jichan Shi, Jianyi Dai and Zhengxing Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Megan Coffee

19 papers receiving 1.0k citations

Peers

Megan Coffee
Ziyue Zu China
Robert Challen United Kingdom
Zisis Kozlakidis France
Mariano Martini Italy
Hagai Rossman Israel
Smadar Shilo Israel
Cheng-Bin Wang Italy
Andrea Dugas United States
Sudipta Bhat India
Xiangao Jiang China
Ziyue Zu China
Megan Coffee
Citations per year, relative to Megan Coffee Megan Coffee (= 1×) peers Ziyue Zu

Countries citing papers authored by Megan Coffee

Since Specialization
Citations

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

Fields of papers citing papers by Megan Coffee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan Coffee

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

All Works

19 of 19 papers shown
1.
Abdul‐Mumin, Alhassan, et al.. (2024). Assessing ventilation through ambient carbon dioxide concentrations across multiple healthcare levels in Ghana. SHILAP Revista de lepidopterología. 4(8). e0003287–e0003287. 2 indexed citations
2.
Amann, Julia, Megan Coffee, Boris Düdder, et al.. (2023). Lessons Learned from Assessing Trustworthy AI in Practice. Theseus (Ammattikorkeakoulujen). 2(3). 13 indexed citations
3.
Coffee, Megan, et al.. (2023). The impact of anthropogenic climate change on pediatric viral diseases. Pediatric Research. 95(2). 496–507. 11 indexed citations
4.
Cao, Xu, Wenqian Ye, Elena Sizikova, et al.. (2023). Vitasd: Robust Vision Transformer Baselines for Autism Spectrum Disorder Facial Diagnosis. 1–5. 13 indexed citations
5.
Bari, Anasse, et al.. (2022). Exploring Coronavirus Disease 2019 Vaccine Hesitancy on Twitter Using Sentiment Analysis and Natural Language Processing Algorithms. Clinical Infectious Diseases. 74(Supplement_3). e4–e9. 15 indexed citations
6.
Amann, Julia, Stig Nikolaj Fasmer Blomberg, Helle Collatz Christensen, et al.. (2022). To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems. SHILAP Revista de lepidopterología. 1(2). e0000016–e0000016. 117 indexed citations
7.
Bari, Anasse, et al.. (2021). COVID-19 early-alert signals using human behavior alternative data. Social Network Analysis and Mining. 11(1). 18–18. 8 indexed citations
8.
9.
Filardo, Thomas D., Maria R. Khan, Noa Krawczyk, et al.. (2020). Comorbidity and clinical factors associated with COVID-19 critical illness and mortality at a large public hospital in New York City in the early phase of the pandemic (March-April 2020). PLoS ONE. 15(11). e0242760–e0242760. 30 indexed citations
10.
Ekins, Sean, Melina Mottin, Bruno J. Neves, et al.. (2020). Déjà vu: Stimulating open drug discovery for SARS-CoV-2. Drug Discovery Today. 25(5). 928–941. 66 indexed citations
11.
Jiang, Xiangao, Megan Coffee, Anasse Bari, et al.. (2020). Towards an Artificial Intelligence Framework for Data-Driven Prediction of Coronavirus Clinical Severity. Computers, materials & continua/Computers, materials & continua (Print). 62(3). 537–551. 271 indexed citations
12.
13.
Coffee, Megan, et al.. (2017). Case Report: A Cluster of Three Leptospirosis Cases in a New York City Abattoir and an Unusual Complication in the Index Case. American Journal of Tropical Medicine and Hygiene. 97(6). 1679–1681. 7 indexed citations
14.
Liu, Fengchen, Wayne Enanoria, Kathryn J. Ray, et al.. (2014). Effect of the One-Child Policy on Influenza Transmission in China: A Stochastic Transmission Model. PLoS ONE. 9(2). e84961–e84961. 9 indexed citations
15.
Ndeffo-Mbah, Martial L., Eric M. Poolman, Paul K. Drain, et al.. (2013). HIV and Schistosoma haematobium prevalences correlate in sub‐Saharan Africa. Tropical Medicine & International Health. 18(10). 1174–1179. 34 indexed citations
16.
Coffee, Megan, Mark N. Lurie, & Geoff P. Garnett. (2007). Modelling the impact of migration on the HIV epidemic in South Africa. AIDS. 21(3). 343–350. 113 indexed citations
17.
Coffee, Megan, et al.. (2005). Patterns of Movement and Risk of HIV Infection in Rural Zimbabwe. The Journal of Infectious Diseases. 191(s1). S159–S167. 104 indexed citations
18.
Bauch, Chris T., James O. Lloyd‐Smith, Megan Coffee, & Alison P. Galvani. (2005). Dynamically Modeling SARS and Other Newly Emerging Respiratory Illnesses. Epidemiology. 16(6). 791–801. 156 indexed citations
19.
Okunieff, Paul, Marcelo Mester, Jian Wang, et al.. (1998). In Vivo Radioprotective Effects of Angiogenic Growth Factors on the Small Bowel of C3H Mice. Radiation Research. 150(2). 204–204. 84 indexed citations

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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