Barbara Saxty
Impact in
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
- Epidemiology top 10%
- Autophagy in Disease and Therapy
Papers in
-
- Biochemical and Molecular Research 3
- DNA Repair Mechanisms 3
- Oncology 10
- PARP inhibition in cancer therapy 8
- Co-authors
- Simon A. Osborne (4 shared papers)Chido Mpamhanga (3 shared papers)Ian G. Ganley (2 shared papers)Ahmad M. Kamal (1 shared paper)Timothy N. C. Wells (6 shared papers)Dmitry B. Veprintsev (1 shared paper)David Whalley (3 shared papers)Mariann Bienz (1 shared paper)
- Journals
- European Journal of Biochemistry (5 papers)Journal of Medicinal Chemistry (5 papers)Bioorganic & Medicinal Chemistry Letters (4 papers)SLAS DISCOVERY (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Barbara Saxty
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 81
- Physiology 131
- Epidemiology 386
- Molecular Biology 689
- Cancer Research 134
- Infectious Diseases 146
Countries citing papers authored by Barbara Saxty
This map shows the geographic impact of Barbara Saxty'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 Barbara Saxty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Saxty more than expected).
Fields of papers citing papers by Barbara Saxty
This network shows the impact of papers produced by Barbara Saxty. 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 Barbara Saxty. The network helps show where Barbara Saxty may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Saxty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 299 | |
| 2 | 2012 | 106 | |
| 3 | 2013 | 68 | |
| 4 | 2015 | 68 | |
| 5 | 1992 | 66 | |
| 6 | 2011 | 62 | |
| 7 | 2015 | 61 | |
| 8 | 2012 | 60 | |
| 9 | 2012 | 42 | |
| 10 | 2021 | 35 | |
| 11 | 1996 | 29 | |
| 12 | 2001 | 26 | |
| 13 | 2015 | 26 | |
| 14 | 2015 | 19 | |
| 15 | 1995 | 16 | |
| 16 | 1991 | 16 | |
| 17 | 1996 | 15 | |
| 18 | 1995 | 15 | |
| 19 | 1992 | 14 | |
| 20 | 2020 | 14 |
About Barbara Saxty
Barbara Saxty is a scholar working on Molecular Biology, Oncology, Physiology, Genetics and Immunology, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (8 papers), Calcium signaling and nucleotide metabolism (6 papers), Cancer, Lipids, and Metabolism (3 papers), Biochemical and Molecular Research (3 papers), DNA Repair Mechanisms (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Blood disorders and treatments (3 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Physiology (131 citations), Epidemiology (386 citations), Molecular Biology (689 citations), Cancer Research (134 citations) and Infectious Diseases (146 citations). Barbara Saxty has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Simon A. Osborne, Chido Mpamhanga, Ian G. Ganley, Ahmad M. Kamal, Timothy N. C. Wells, Dmitry B. Veprintsev, David Whalley, Mariann Bienz, Deepti Gupta and Marc de la Roche. Their work appears in journals such as European Journal of Biochemistry, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, SLAS DISCOVERY and Journal of Biological Chemistry.
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.