Emily A. Kendall
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology 51
- SARS-CoV-2 and COVID-19 Research 4
- Endocrinology top 2%
- Vibrio bacteria research studies 4
- Epidemiology top 5%
- Pneumonia and Respiratory Infections 34
- Pneumocystis jirovecii pneumonia detection and treatment 19
- Mycobacterium research and diagnosis 9
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 5
- Molecular Medicine top 10%
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- Diagnosis and treatment of tuberculosis 9
- Co-authors
- David W. DowdyMariam O. FofanaSourya ShresthaSamuel G. SchumacherAndrew S. AzmanRobin M. WarrenFahima ChowdhuryAshraful Islam Khan
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)PLoS ONE (5 papers)
- Partner nations
- United StatesUnited KingdomUganda
In The Last Decade
Emily A. Kendall
67 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Infectious Diseases 918
- Endocrinology 171
- Epidemiology 664
- Modeling and Simulation 57
- Molecular Medicine 52
Countries citing papers authored by Emily A. Kendall
This map shows the geographic impact of Emily A. Kendall'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 A. Kendall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily A. Kendall more than expected).
Fields of papers citing papers by Emily A. Kendall
This network shows the impact of papers produced by Emily A. Kendall. 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 A. Kendall. The network helps show where Emily A. Kendall may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Emily A. Kendall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 9 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 5 | |
| 10 | 2020 | 3 | |
| 11 | 2020 | 15 | |
| 12 | 2020 | 96 | |
| 13 | 2019 | 5 | |
| 14 | 2019 | 20 | |
| 15 | 2018 | 5 | |
| 16 | 2017 | 19 | |
| 17 | 2017 | 45 | |
| 18 | 2017 | 1 | |
| 19 | 2017 | 30 | |
| 20 | 2012 | 24 |
About Emily A. Kendall
Emily A. Kendall is a scholar working on Infectious Diseases, Epidemiology and Modeling and Simulation, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (51 papers), Pneumonia and Respiratory Infections (34 papers), Pneumocystis jirovecii pneumonia detection and treatment (19 papers), Mycobacterium research and diagnosis (9 papers), Diagnosis and treatment of tuberculosis (9 papers), COVID-19 epidemiological studies (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Vibrio bacteria research studies (4 papers). The work is most often cited by research in Infectious Diseases (918 citations), Endocrinology (171 citations) and Epidemiology (664 citations). Emily A. Kendall has collaborated with scholars based in United States, United Kingdom and Uganda. Frequent co-authors include David W. Dowdy, Mariam O. Fofana, Sourya Shrestha, Samuel G. Schumacher, Andrew S. Azman, Robin M. Warren, Fahima Chowdhury, Ashraful Islam Khan, Firdausi Qadri and Jason B. Harris. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.
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.