Evan Lester
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- RNA Research and Splicing 6
- RNA regulation and disease 4
- Muscle Physiology and Disorders 2
- RNA and protein synthesis mechanisms 2
-
- SARS-CoV-2 detection and testing 1
- Co-authors
- Roy Parker (9 shared papers)James M. Burke (3 shared papers)Soraya I. Shehata (1 shared paper)Daniel B. Larremore (1 shared paper)James A. Hay (1 shared paper)Bryan Wilder (1 shared paper)Milind Tambe (1 shared paper)Michael J. Mina (1 shared paper)
- Journals
- ACS Chemical Biology (1 paper)Neuron (1 paper)Nature (1 paper)The Lancet Neurology (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United States
In The Last Decade
Evan Lester
11 papers receiving 1.0k citations
Evan Lester's Hit Papers
Peers
Comparison fields: 5 of 97
- Modeling and Simulation 132
- Infectious Diseases 470
- Neurology 107
- Molecular Biology 454
- Genetics 47
Countries citing papers authored by Evan Lester
This map shows the geographic impact of Evan Lester'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 Evan Lester with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan Lester more than expected).
Fields of papers citing papers by Evan Lester
This network shows the impact of papers produced by Evan Lester. 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 Evan Lester. The network helps show where Evan Lester may publish in the future.
Co-authors
The 25 scholars most cited alongside Evan Lester, 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 | Test sensitivity is secondary to frequency and turnaround time for COVID-19 screening Hit paper breakdown → | 2021 | 585 |
| 2 | 2018 | 153 | |
| 3 | 2021 | 139 | |
| 4 | 2020 | 60 | |
| 5 | 2015 | 32 | |
| 6 | 2023 | 21 | |
| 7 | 2021 | 16 | |
| 8 | 2022 | 16 | |
| 9 | 2023 | 7 | |
| 10 | 2024 | 1 | |
| 11 | 2021 | 1 |
About Evan Lester
Evan Lester is a scholar working on Molecular Biology, Infectious Diseases, Physiology, Neurology and Genetics, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), RNA regulation and disease (4 papers), Alzheimer's disease research and treatments (3 papers), Muscle Physiology and Disorders (2 papers), RNA and protein synthesis mechanisms (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper), Retinal and Optic Conditions (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Modeling and Simulation (132 citations), Infectious Diseases (470 citations), Neurology (107 citations), Molecular Biology (454 citations) and Genetics (47 citations). Evan Lester has collaborated with scholars based in United States. Frequent co-authors include Roy Parker, James M. Burke, Soraya I. Shehata, Daniel B. Larremore, James A. Hay, Bryan Wilder, Milind Tambe, Michael J. Mina, Joshua Wheeler and Devin Tauber. Their work appears in journals such as ACS Chemical Biology, Neuron, Nature, The Lancet Neurology and The FASEB Journal.
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.