Sheryl L. Chang
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 7
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- Complex Network Analysis Techniques 3
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- SARS-CoV-2 and COVID-19 Research 2
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- Mathematical and Theoretical Epidemiology and Ecology Models 4
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- Salmonella and Campylobacter epidemiology 2
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- Evolution and Genetic Dynamics 2
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- Bacteriophages and microbial interactions 1
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- Cancer Research and Treatments 1
- Co-authors
- Mikhail ProkopenkoMahendra PiraveenanPhilippa PattisonCameron ZachresonOliver M. CliffQuang Dang NguyenVitali SintchenkoTania C. Sorrell
- Journals
- SHILAP Revista de lepidopterología (1 paper)International Journal of Environmental Research and Public Health (1 paper)Chaos Solitons & Fractals (1 paper)
In The Last Decade
Sheryl L. Chang
11 papers receiving 194 citations
Peers
Comparison fields: 5 of 64
- Modeling and Simulation 121
- Statistical and Nonlinear Physics 35
- Infectious Diseases 45
- Health 18
- Public Health, Environmental and Occupational Health 60
Countries citing papers authored by Sheryl L. Chang
This map shows the geographic impact of Sheryl L. Chang'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 Sheryl L. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheryl L. Chang more than expected).
Fields of papers citing papers by Sheryl L. Chang
This network shows the impact of papers produced by Sheryl L. Chang. 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 Sheryl L. Chang. The network helps show where Sheryl L. Chang may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Sheryl L. Chang, 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 | 2023 | 1 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 19 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 7 | |
| 8 | 2020 | 19 | |
| 9 | 2020 | 111 | |
| 10 | 2019 | 24 | |
| 11 | 2017 | 1 |
About Sheryl L. Chang
Sheryl L. Chang is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Health, having authored 11 papers that have together received 203 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers), Complex Network Analysis Techniques (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Evolution and Genetic Dynamics (2 papers), Bacteriophages and microbial interactions (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Modeling and Simulation (121 citations), Statistical and Nonlinear Physics (35 citations) and Infectious Diseases (45 citations). Sheryl L. Chang has collaborated with scholars based in Australia and Uganda. Frequent co-authors include Mikhail Prokopenko, Mahendra Piraveenan, Philippa Pattison, Cameron Zachreson, Oliver M. Cliff, Quang Dang Nguyen, Vitali Sintchenko, Tania C. Sorrell, Rebecca J. Rockett and Alexandra Martiniuk. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and Chaos Solitons & Fractals.
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.