Heather Wells
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
- COVID-19 Clinical Research Studies
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
-
- Gut microbiota and health 2
- CRISPR and Genetic Engineering 1
- Co-authors
- Jonna A. K. Mazet (3 shared papers)Tracey Goldstein (3 shared papers)Simon J. Anthony (2 shared papers)Sarah Krämer (1 shared paper)Stephen S. Morse (1 shared paper)Allison L. Hicks (1 shared paper)Denise J. Greig (1 shared paper)W. Ian Lipkin (1 shared paper)
- Journals
- Open Forum Infectious Diseases (3 papers)Virus Evolution (2 papers)Microbiology Spectrum (1 paper)Cell Host & Microbe (1 paper)PLoS Pathogens (1 paper)
- Partner nations
- United StatesUgandaEthiopia
In The Last Decade
Heather Wells
9 papers receiving 475 citations
Heather Wells's Hit Papers
Peers
Comparison fields: 5 of 70
- Infectious Diseases 314
- Modeling and Simulation 59
- Animal Science and Zoology 105
- Ecological Modeling 31
- Virology 22
Countries citing papers authored by Heather Wells
This map shows the geographic impact of Heather Wells'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 Heather Wells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather Wells more than expected).
Fields of papers citing papers by Heather Wells
This network shows the impact of papers produced by Heather Wells. 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 Heather Wells. The network helps show where Heather Wells may publish in the future.
Co-authors
The 25 scholars most cited alongside Heather Wells, 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 | Global patterns in coronavirus diversity Hit paper breakdown → | 2017 | 268 |
| 2 | 2021 | 51 | |
| 3 | 2014 | 48 | |
| 4 | 2015 | 48 | |
| 5 | 2023 | 33 | |
| 6 | 2021 | 24 | |
| 7 | 2022 | 9 | |
| 8 | 2024 | 3 | |
| 9 | 2016 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2023 | 0 | |
| 12 | 2025 | 0 |
About Heather Wells
Heather Wells is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Microbiology and Clinical Biochemistry, having authored 12 papers that have together received 485 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Zoonotic diseases and public health (2 papers), Gut microbiota and health (2 papers), Evolution and Genetic Dynamics (2 papers), Urinary Tract Infections Management (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), Amphibian and Reptile Biology (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Infectious Diseases (314 citations), Modeling and Simulation (59 citations), Animal Science and Zoology (105 citations), Ecological Modeling (31 citations) and Virology (22 citations). Heather Wells has collaborated with scholars based in United States, Uganda and Ethiopia. Frequent co-authors include Jonna A. K. Mazet, Tracey Goldstein, Simon J. Anthony, Sarah Krämer, Stephen S. Morse, Allison L. Hicks, Denise J. Greig, W. Ian Lipkin, Xiaoyu Che and Damien O. Joly. Their work appears in journals such as Open Forum Infectious Diseases, Virus Evolution, Microbiology Spectrum, Cell Host & Microbe and PLoS Pathogens.
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.