S L Davies
- Molecular Biology
- Genetics
- Oncology
- Endocrinology, Diabetes and Metabolism top 10%
- Aquatic Science top 5%
- Co-authors
- Ian D. HicksonLuis B. AgellonCraig RobsonStella M. DaviesDennis A. PowersT T ChenCelia EmeryJ. M. Jones
- Topics
- Cancer therapeutics and mechanisms (5 papers)DNA Repair Mechanisms (3 papers)Bioactive Compounds and Antitumor Agents (3 papers)
- Cited by
- ToxicologyPhysiologyAquatic Science
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryBritish Journal of Cancer
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
S L Davies
13 papers receiving 458 citations
Peers
Comparison fields: 5 of 54
- Molecular Biology 301
- Genetics 166
- Oncology 116
- Endocrinology, Diabetes and Metabolism 112
- Aquatic Science 65
Countries citing papers authored by S L Davies
This map shows the geographic impact of S L Davies'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 S L Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S L Davies more than expected).
Fields of papers citing papers by S L Davies
This network shows the impact of papers produced by S L Davies. 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 S L Davies. The network helps show where S L Davies may publish in the future.
Co-authorship network of co-authors of S L Davies
This figure shows the co-authorship network connecting the top 25 collaborators of S L Davies. A scholar is included among the top collaborators of S L Davies based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S L Davies. S L Davies is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 36 | |
| 5 | 15 | |
| 6 | Cyclic AMP-dependent protein kinase type I is involved in hypersensitivity of human breast cells to topoisomerase II inhibitors. | 4 |
| 7 | Overexpression of the RI alpha subunit of protein kinase A confers hypersensitivity to topoisomerase II inhibitors and 8-chloro-cyclic adenosine 3'5'-monophosphate in Chinese hamster ovary cells. | 12 |
| 8 | 27 | |
| 9 | Isolation of two Chinese hamster ovary cell mutants hypersensitive to topoisomerase II inhibitors and cross-resistant to peroxides. | 7 |
| 10 | 73 | |
| 11 | 75 | |
| 12 | 145 | |
| 13 | 78 |
About S L Davies
S L Davies is a scholar working on Toxicology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 479 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (5 papers), DNA Repair Mechanisms (3 papers) and Bioactive Compounds and Antitumor Agents (3 papers). The work is most often cited by research in Toxicology (35 citations), Physiology (43 citations) and Aquatic Science (65 citations). S L Davies has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Ian D. Hickson, Luis B. Agellon, Craig Robson, Stella M. Davies, Dennis A. Powers, T T Chen, Celia Emery, J. M. Jones, Phillip North and N C Levitt. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and British Journal of Cancer.
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.