Cymra Haskell
Impact in
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- Effects and risks of endocrine disrupting chemicals
- Small Animals top 10%
- Animal testing and alternatives
Papers in
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- Mathematical and Theoretical Epidemiology and Ecology Models 3
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- Nonlinear Differential Equations Analysis 2
- Co-authors
- N. Chernov (1 shared paper)Robert J. Sacker (4 shared papers)Menghang Xia (1 shared paper)Kevin M. Crofton (1 shared paper)Richard Judson (1 shared paper)Kamel Mansouri (1 shared paper)R. Woodrow Setzer (1 shared paper)Dayne L. Filer (1 shared paper)
- Journals
- The Journal of Difference Equations and Applications (2 papers)Toxicological Sciences (1 paper)Duke Mathematical Journal (1 paper)Journal of Dynamics and Differential Equations (1 paper)Ergodic Theory and Dynamical Systems (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Cymra Haskell
7 papers receiving 289 citations
Peers
Comparison fields: 5 of 67
- Health, Toxicology and Mutagenesis 145
- Small Animals 50
- Computational Theory and Mathematics 104
- Mathematical Physics 44
- Statistical and Nonlinear Physics 40
Countries citing papers authored by Cymra Haskell
This map shows the geographic impact of Cymra Haskell'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 Cymra Haskell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cymra Haskell more than expected).
Fields of papers citing papers by Cymra Haskell
This network shows the impact of papers produced by Cymra Haskell. 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 Cymra Haskell. The network helps show where Cymra Haskell may publish in the future.
Co-authors
The 20 scholars most cited alongside Cymra Haskell, 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 | 2015 | 232 | |
| 2 | 1996 | 43 | |
| 3 | 2005 | 16 | |
| 4 | 2012 | 13 | |
| 5 | 2012 | 5 | |
| 6 | 1967 | 4 | |
| 7 | 2019 | 1 |
About Cymra Haskell
Cymra Haskell is a scholar working on Public Health, Environmental and Occupational Health, Applied Mathematics, Mathematical Physics, Statistical and Nonlinear Physics and Genetics, having authored 7 papers that have together received 314 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Nonlinear Differential Equations Analysis (2 papers), Mathematical Dynamics and Fractals (1 paper), Quantum chaos and dynamical systems (1 paper), Computational Drug Discovery Methods (1 paper), Material Dynamics and Properties (1 paper), Stochastic processes and statistical mechanics (1 paper) and Spectroscopy and Quantum Chemical Studies (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (145 citations), Small Animals (50 citations), Computational Theory and Mathematics (104 citations), Mathematical Physics (44 citations) and Statistical and Nonlinear Physics (40 citations). Cymra Haskell has collaborated with scholars based in United States, China and Canada. Frequent co-authors include N. Chernov, Robert J. Sacker, Menghang Xia, Kevin M. Crofton, Richard Judson, Kamel Mansouri, R. Woodrow Setzer, Dayne L. Filer, Nessy Tania and Ruili Huang. Their work appears in journals such as The Journal of Difference Equations and Applications, Toxicological Sciences, Duke Mathematical Journal, Journal of Dynamics and Differential Equations and Ergodic Theory and Dynamical Systems.
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.