Deborah J. Newton
- Pharmacology top 0.2%
- Oncology top 5%
- Molecular Biology
- Pediatrics, Perinatology and Child Health top 5%
- Pharmacology top 10%
- Co-authors
- Anthony Y.H. LuRegina W. WangWilliam M. AtkinsNini LiuRosa I. SánchezDavid C. EvansXiaoxin CaiPing Lü
- Topics
- Genomics, phytochemicals, and oxidative stress (6 papers)Glutathione Transferases and Polymorphisms (6 papers)Pharmacogenetics and Drug Metabolism (6 papers)
- Cited by
- PharmacologyOncologyBiochemistry
- Journals
- Journal of Biological ChemistryAntimicrobial Agents and ChemotherapyJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United StatesCanadaNorway
In The Last Decade
Deborah J. Newton
18 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Pharmacology 903
- Oncology 593
- Molecular Biology 419
- Pediatrics, Perinatology and Child Health 222
- Pharmacology 166
Countries citing papers authored by Deborah J. Newton
This map shows the geographic impact of Deborah J. Newton'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 Deborah J. Newton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah J. Newton more than expected).
Fields of papers citing papers by Deborah J. Newton
This network shows the impact of papers produced by Deborah J. Newton. 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 Deborah J. Newton. The network helps show where Deborah J. Newton may publish in the future.
Co-authorship network of co-authors of Deborah J. Newton
This figure shows the co-authorship network connecting the top 25 collaborators of Deborah J. Newton. A scholar is included among the top collaborators of Deborah J. Newton 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 Deborah J. Newton. Deborah J. Newton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 56 | |
| 3 | 105 | |
| 4 | 14 | |
| 5 | 101 | |
| 6 | 200 | |
| 7 | 20 | |
| 8 | Human cytochrome P450 3A4-catalyzed testosterone 6 beta-hydroxylation and erythromycin N-demethylation. Competition during catalysis. | 135 |
| 9 | Cytochrome P450 inhibitors. Evaluation of specificities in the in vitrometabolism of therapeutic agents by human liver microsomes.breakdown → | 562 |
| 10 | 34 | |
| 11 | 13 | |
| 12 | 20 | |
| 13 | 95 | |
| 14 | 17 | |
| 15 | 54 | |
| 16 | 24 | |
| 17 | 6 | |
| 18 | 13 |
About Deborah J. Newton
Deborah J. Newton is a scholar working on Pharmacology, Pharmaceutical Science and Virology, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (6 papers), Glutathione Transferases and Polymorphisms (6 papers) and Pharmacogenetics and Drug Metabolism (6 papers). The work is most often cited by research in Pharmacology (903 citations), Oncology (593 citations) and Biochemistry (149 citations). Deborah J. Newton has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Anthony Y.H. Lu, Regina W. Wang, William M. Atkins, Nini Liu, William M. Atkins, Rosa I. Sánchez, David C. Evans, Xiaoxin Cai, Ping Lü and Xiaoyan Chu. Their work appears in journals such as Journal of Biological Chemistry, Antimicrobial Agents and Chemotherapy and Journal of Pharmacology and Experimental Therapeutics.
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.