Sally Rose
Impact in
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- Computational Drug Discovery Methods
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- Protein Kinase Regulation and GTPase Signaling
- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
- Receptor Mechanisms and Signaling
Papers in
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- Computational Drug Discovery Methods 5
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- Ion channel regulation and function 1
- Insect Resistance and Genetics 1
- Co-authors
- Mark Mackey (2 shared papers)Michael J.O. Wakelam (2 shared papers)Adrian P. Stevens (1 shared paper)Matthew N. Hodgkin (2 shared papers)Khalid M. Saqib (1 shared paper)Joanna M. Clark (1 shared paper)Andrew D. Paterson (1 shared paper)Ashley Martin (1 shared paper)
- Journals
- Biochemical Journal (2 papers)Drug Discovery Today (2 papers)Current Opinion in Chemical Biology (1 paper)Expert Opinion on Drug Discovery (1 paper)Journal of Chemical Information and Modeling (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Sally Rose
7 papers receiving 449 citations
Peers
Comparison fields: 5 of 86
- Computational Theory and Mathematics 168
- Molecular Biology 272
- Pharmacology 49
- Organic Chemistry 85
- Biochemistry 16
Countries citing papers authored by Sally Rose
This map shows the geographic impact of Sally Rose'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 Sally Rose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sally Rose more than expected).
Fields of papers citing papers by Sally Rose
This network shows the impact of papers produced by Sally Rose. 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 Sally Rose. The network helps show where Sally Rose may publish in the future.
Co-authors
The 8 scholars most cited alongside Sally Rose, 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 | 2006 | 316 | |
| 2 | 2007 | 59 | |
| 3 | 1999 | 46 | |
| 4 | 2003 | 21 | |
| 5 | 2002 | 16 | |
| 6 | 1997 | 8 | |
| 7 | 2002 | 5 |
About Sally Rose
Sally Rose is a scholar working on Computational Theory and Mathematics, Molecular Biology, Spectroscopy, Physical and Theoretical Chemistry and Pharmacology, having authored 7 papers that have together received 471 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), History and advancements in chemistry (2 papers), Analytical Chemistry and Chromatography (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Meat and Animal Product Quality (1 paper), Ion channel regulation and function (1 paper), Insect Resistance and Genetics (1 paper) and Caveolin-1 and cellular processes (1 paper). The work is most often cited by research in Computational Theory and Mathematics (168 citations), Molecular Biology (272 citations), Pharmacology (49 citations), Organic Chemistry (85 citations) and Biochemistry (16 citations). Sally Rose has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Mark Mackey, Michael J.O. Wakelam, Adrian P. Stevens, Matthew N. Hodgkin, Khalid M. Saqib, Joanna M. Clark, Andrew D. Paterson and Ashley Martin. Their work appears in journals such as Biochemical Journal, Drug Discovery Today, Current Opinion in Chemical Biology, Expert Opinion on Drug Discovery and Journal of Chemical Information and Modeling.
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.