Angie Stone
- Molecular Biology
- Genetics top 10%
- Oncology
- Rheumatology top 10%
- Pharmacology top 5%
- Co-authors
- Christine B. AmbrosoneFred F. KadlubarDan F. BradleyPatricia A. ThompsonCarol SweeneyLaura F. HutchinsBrian ColesMedha Munshi
- Topics
- Glutathione Transferases and Polymorphisms (5 papers)Genomics, phytochemicals, and oxidative stress (3 papers)Pharmacogenetics and Drug Metabolism (3 papers)
- Cited by
- PharmacologyGeneticsRheumatology
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Angie Stone
24 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 628
- Genetics 288
- Oncology 202
- Rheumatology 148
- Pharmacology 148
Countries citing papers authored by Angie Stone
This map shows the geographic impact of Angie Stone'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 Angie Stone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angie Stone more than expected).
Fields of papers citing papers by Angie Stone
This network shows the impact of papers produced by Angie Stone. 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 Angie Stone. The network helps show where Angie Stone may publish in the future.
Co-authorship network of co-authors of Angie Stone
This figure shows the co-authorship network connecting the top 25 collaborators of Angie Stone. A scholar is included among the top collaborators of Angie Stone 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 Angie Stone. Angie Stone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 24 | |
| 3 | 37 | |
| 4 | 32 | |
| 5 | 29 | |
| 6 | 79 | |
| 7 | 70 | |
| 8 | 63 | |
| 9 | 53 | |
| 10 | Polymorphisms in glutathione S-transferases (GSTM1 and GSTT1) and survival after treatment for breast cancer. | 151 |
| 11 | 22 | |
| 12 | 122 | |
| 13 | 13 | |
| 14 | 33 | |
| 15 | 35 | |
| 16 | 5 | |
| 17 | 13 | |
| 18 | Effect of hyperthermia on activity of three glycosyltransferases in Chinese hamster ovary cells. | 16 |
| 19 | 11 | |
| 20 | 98 |
About Angie Stone
Angie Stone is a scholar working on Pharmacology, Behavioral Neuroscience and Analytical Chemistry, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (5 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Pharmacology (148 citations), Genetics (288 citations) and Rheumatology (148 citations). Angie Stone has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Christine B. Ambrosone, Fred F. Kadlubar, Dan F. Bradley, Patricia A. Thompson, Carol Sweeney, Laura F. Hutchins, Brian Coles, Medha Munshi, Louis M. Fink and Gail Y. McClure. Their work appears in journals such as International Journal of Cancer, Journal of Cellular Physiology and Psychoneuroendocrinology.
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.