Keith Fraser
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Aquatic Science top 5%
- Seaweed-derived Bioactive Compounds
Papers in
-
- COVID-19 epidemiological studies 6
-
- SARS-CoV-2 and COVID-19 Research 4
- Co-authors
- Jonathan S. Dordick (11 shared papers)Robert J. Linhardt (11 shared papers)Fuming Zhang (10 shared papers)Paul S. Kwon (4 shared papers)Seok‐Joon Kwon (4 shared papers)Jung Joo Hong (2 shared papers)Hanseul Oh (2 shared papers)Weihua Jin (1 shared paper)
- Journals
- The Lancet Infectious Diseases (3 papers)Carbohydrate Polymers (2 papers)Biochemistry (2 papers)Materials Science and Engineering B (2 papers)Malaria Journal (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Keith Fraser
42 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 116
- Modeling and Simulation 168
- Aquatic Science 121
- Infectious Diseases 274
- Cell Biology 100
- Molecular Biology 410
Countries citing papers authored by Keith Fraser
This map shows the geographic impact of Keith Fraser'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 Keith Fraser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Fraser more than expected).
Fields of papers citing papers by Keith Fraser
This network shows the impact of papers produced by Keith Fraser. 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 Keith Fraser. The network helps show where Keith Fraser may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith Fraser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 295 | |
| 2 | 2019 | 273 | |
| 3 | 2020 | 144 | |
| 4 | 2017 | 110 | |
| 5 | 2021 | 95 | |
| 6 | 2021 | 67 | |
| 7 | 2017 | 65 | |
| 8 | 2018 | 44 | |
| 9 | 2021 | 42 | |
| 10 | 2023 | 33 | |
| 11 | 2018 | 31 | |
| 12 | 2013 | 28 | |
| 13 | 2022 | 23 | |
| 14 | 2023 | 20 | |
| 15 | 2022 | 17 | |
| 16 | 2022 | 17 | |
| 17 | 2023 | 16 | |
| 18 | 2023 | 16 | |
| 19 | 2024 | 16 | |
| 20 | 2019 | 15 |
About Keith Fraser
Keith Fraser is a scholar working on Modeling and Simulation, Infectious Diseases, Molecular Biology, Public Health, Environmental and Occupational Health and Health, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Silicon and Solar Cell Technologies (5 papers), Mosquito-borne diseases and control (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Malaria Research and Control (3 papers), Enzyme Catalysis and Immobilization (3 papers), Biochemical and Structural Characterization (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Modeling and Simulation (168 citations), Aquatic Science (121 citations), Infectious Diseases (274 citations), Cell Biology (100 citations) and Molecular Biology (410 citations). Keith Fraser has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Jonathan S. Dordick, Robert J. Linhardt, Fuming Zhang, Paul S. Kwon, Seok‐Joon Kwon, Jung Joo Hong, Hanseul Oh, Weihua Jin, Shaokang Ren and Xing Wang. Their work appears in journals such as The Lancet Infectious Diseases, Carbohydrate Polymers, Biochemistry, Materials Science and Engineering B and Malaria 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.