Leysa Forrest
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Viral Infections and Outbreaks Research
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
- Genetics 3
- Glioma Diagnosis and Treatment 2
- Neurogenetic and Muscular Disorders Research 1
-
- COVID-19 epidemiological studies 1
- Co-authors
- K. Richard Bruckdorfer (1 shared paper)C B Marenah (1 shared paper)David G. Hassall (1 shared paper)Claudio Cortese (1 shared paper)N.E. Miller (1 shared paper)Paul A. Turner (1 shared paper)George Dickson (2 shared papers)Linda J. Popplewell (2 shared papers)
- Journals
- Cell (1 paper)Genome Medicine (1 paper)Frontiers in Physiology (1 paper)Journal of Cachexia Sarcopenia and Muscle (1 paper)Neuropathology and Applied Neurobiology (1 paper)
- Partner nations
- United KingdomFranceGreece
In The Last Decade
Leysa Forrest
7 papers receiving 859 citations
Leysa Forrest's Hit Papers
Peers
Comparison fields: 5 of 73
- Infectious Diseases 633
- Modeling and Simulation 102
- Animal Science and Zoology 97
- Molecular Biology 221
- Health 19
Countries citing papers authored by Leysa Forrest
This map shows the geographic impact of Leysa Forrest'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 Leysa Forrest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leysa Forrest more than expected).
Fields of papers citing papers by Leysa Forrest
This network shows the impact of papers produced by Leysa Forrest. 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 Leysa Forrest. The network helps show where Leysa Forrest may publish in the future.
Co-authors
The 12 scholars most cited alongside Leysa Forrest, 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 | Evaluating the Effects of SARS-CoV-2 Spike Mutation D614G on Transmissibility and Pathogenicity Hit paper breakdown → | 2020 | 734 |
| 2 | 1983 | 65 | |
| 3 | 2024 | 33 | |
| 4 | 2019 | 31 | |
| 5 | 2020 | 10 | |
| 6 | 2023 | 6 | |
| 7 | 2025 | 1 |
About Leysa Forrest
Leysa Forrest is a scholar working on Genetics, Modeling and Simulation, Neurology, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 7 papers that have together received 880 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (2 papers), Muscle Physiology and Disorders (2 papers), COVID-19 Clinical Research Studies (1 paper), Cancer-related molecular mechanisms research (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Neurogenetic and Muscular Disorders Research (1 paper), COVID-19 epidemiological studies (1 paper) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). The work is most often cited by research in Infectious Diseases (633 citations), Modeling and Simulation (102 citations), Animal Science and Zoology (97 citations), Molecular Biology (221 citations) and Health (19 citations). Leysa Forrest has collaborated with scholars based in United Kingdom, France and Greece. Frequent co-authors include K. Richard Bruckdorfer, C B Marenah, David G. Hassall, Claudio Cortese, N.E. Miller, Paul A. Turner, George Dickson, Linda J. Popplewell, Alberto Malerba and Ngoc Lu‐Nguyen. Their work appears in journals such as Cell, Genome Medicine, Frontiers in Physiology, Journal of Cachexia Sarcopenia and Muscle and Neuropathology and Applied Neurobiology.
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.