Sarah Kinnings
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- Computational Drug Discovery Methods 7
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- Prenatal Screening and Diagnostics 2
- Fetal and Pediatric Neurological Disorders 1
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- vaccines and immunoinformatics approaches 2
- Protein Structure and Dynamics 2
- Cancer therapeutics and mechanisms 1
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology 2
- Pharmacology top 10%
- Microbial Natural Products and Biosynthesis 4
- Co-authors
- Lei XiePhilip E. BourneRichard M. JacksonPeter J. TongeNina LiuLi XieN A BuchmeierDarcy Vavrek
- Cited by
- Computational Theory and MathematicsPediatrics, Perinatology and Child HealthMolecular Biology
- Journals
- PLoS ONE (1 paper)Science Translational Medicine (1 paper)The Annual Review of Pharmacology and Toxicology (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Sarah Kinnings
10 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Computational Theory and Mathematics 570
- Pediatrics, Perinatology and Child Health 204
- Molecular Biology 668
- Infectious Diseases 170
- Pharmacology 72
Countries citing papers authored by Sarah Kinnings
This map shows the geographic impact of Sarah Kinnings'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 Sarah Kinnings with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Kinnings more than expected).
Fields of papers citing papers by Sarah Kinnings
This network shows the impact of papers produced by Sarah Kinnings. 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 Sarah Kinnings. The network helps show where Sarah Kinnings may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sarah Kinnings, 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 | 2017 | 108 | |
| 2 | 2015 | 101 | |
| 3 | 2013 | 68 | |
| 4 | 2011 | 154 | |
| 5 | 2011 | 165 | |
| 6 | 2011 | 50 | |
| 7 | 2010 | 83 | |
| 8 | 2009 | 244 | |
| 9 | 2009 | 32 | |
| 10 | 2009 | 74 |
About Sarah Kinnings
Sarah Kinnings is a scholar working on Computational Theory and Mathematics, Pharmacology and Biophysics, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Microbial Natural Products and Biosynthesis (4 papers), vaccines and immunoinformatics approaches (2 papers), Tuberculosis Research and Epidemiology (2 papers), Protein Structure and Dynamics (2 papers), Prenatal Screening and Diagnostics (2 papers), Cancer therapeutics and mechanisms (1 paper) and Fetal and Pediatric Neurological Disorders (1 paper). The work is most often cited by research in Computational Theory and Mathematics (570 citations), Pediatrics, Perinatology and Child Health (204 citations) and Molecular Biology (668 citations). Sarah Kinnings has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Lei Xie, Philip E. Bourne, Richard M. Jackson, Peter J. Tonge, Nina Liu, Li Xie, N A Buchmeier, Darcy Vavrek, William Seltzer and Mark D. Pertile. Their work appears in journals such as PLoS ONE, Science Translational Medicine and The Annual Review of Pharmacology and Toxicology.
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.