Jennifer K. Meece
- Infectious Diseases top 1%
- Viral Infections and Vectors 18
- SARS-CoV-2 and COVID-19 Research 9
- Parasitology top 1%
- Epidemiology top 1%
- Influenza Virus Research Studies 29
- Respiratory viral infections research 27
- Fungal Infections and Studies 21
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies 11
- Health top 5%
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- Plant Pathogens and Fungal Diseases 15
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- Mosquito-borne diseases and control 14
- Co-authors
- Kurt D. ReedEdward A. BelongiaJenny S. HenkelSanjay K. ShuklaMaria E. SundaramDavid L. McClureHuong Q. McLeanMark G. Thompson
- Journals
- SHILAP Revista de lepidopterología (1 paper)Blood (1 paper)PLoS ONE (6 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Jennifer K. Meece
91 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 124
- Infectious Diseases 1.3k
- Parasitology 381
- Epidemiology 1.7k
- Modeling and Simulation 228
- Health 204
Countries citing papers authored by Jennifer K. Meece
This map shows the geographic impact of Jennifer K. Meece'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 Jennifer K. Meece with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer K. Meece more than expected).
Fields of papers citing papers by Jennifer K. Meece
This network shows the impact of papers produced by Jennifer K. Meece. 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 Jennifer K. Meece. The network helps show where Jennifer K. Meece may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jennifer K. Meece, 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 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 17 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 7 | |
| 13 | 2020 | 1 | |
| 14 | 2017 | 12 | |
| 15 | 04. Extensive occurrence of the amphibian chytrid fungus in the Albertine Rift, a Central African amphibian hotspot | 2015 | 7 |
| 16 | 2015 | 23 | |
| 17 | Genetic Research with Hmong - ancestry Populations: Lessons from the Literature and a Pilot Study | 2013 | 8 |
| 18 | 2013 | 82 | |
| 19 | 2013 | 20 | |
| 20 | 2011 | 7 |
About Jennifer K. Meece
Jennifer K. Meece is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 94 papers that have together received 3.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (29 papers), Respiratory viral infections research (27 papers), Fungal Infections and Studies (21 papers), Viral Infections and Vectors (18 papers), Plant Pathogens and Fungal Diseases (15 papers), Mosquito-borne diseases and control (14 papers), COVID-19 epidemiological studies (11 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Parasitology (381 citations) and Epidemiology (1.7k citations). Jennifer K. Meece has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Kurt D. Reed, Edward A. Belongia, Jenny S. Henkel, Sanjay K. Shukla, Maria E. Sundaram, David L. McClure, Huong Q. McLean, Mark G. Thompson, Thomas C. Friedrich and Jennifer L. Anderson. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood 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.