Deborah A. Nicoll‐Griffith
- Pharmacology top 0.1%
- Molecular Biology top 10%
- Oncology top 5%
- Organic Chemistry top 5%
- Pharmacology top 2%
- Co-authors
- Nathalie ChauretThomas A. BaillieAlan P. WattDavid C. EvansAnnick GauthierJames A. YergeyJosé M. SilvaKevin P. Bateman
- Topics
- Pharmacogenetics and Drug Metabolism (26 papers)Inflammatory mediators and NSAID effects (16 papers)Eicosanoids and Hypertension Pharmacology (13 papers)
- Cited by
- PharmacologyBiochemistry
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Deborah A. Nicoll‐Griffith
59 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Pharmacology 1.2k
- Molecular Biology 1.1k
- Oncology 519
- Organic Chemistry 495
- Pharmacology 481
Countries citing papers authored by Deborah A. Nicoll‐Griffith
This map shows the geographic impact of Deborah A. Nicoll‐Griffith'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 A. Nicoll‐Griffith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah A. Nicoll‐Griffith more than expected).
Fields of papers citing papers by Deborah A. Nicoll‐Griffith
This network shows the impact of papers produced by Deborah A. Nicoll‐Griffith. 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 A. Nicoll‐Griffith. The network helps show where Deborah A. Nicoll‐Griffith may publish in the future.
Co-authorship network of co-authors of Deborah A. Nicoll‐Griffith
This figure shows the co-authorship network connecting the top 25 collaborators of Deborah A. Nicoll‐Griffith. A scholar is included among the top collaborators of Deborah A. Nicoll‐Griffith 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 A. Nicoll‐Griffith. Deborah A. Nicoll‐Griffith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 27 | |
| 3 | Managing the challenge of chemically reactive metabolites in drug developmentbreakdown → | 338 |
| 4 | 25 | |
| 5 | 53 | |
| 6 | 20 | |
| 7 | 12 | |
| 8 | 14 | |
| 9 | 5 | |
| 10 | 25 | |
| 11 | 13 | |
| 12 | 36 | |
| 13 | 69 | |
| 14 | 1 | |
| 15 | 9 | |
| 16 | 1 | |
| 17 | 16 | |
| 18 | 7 | |
| 19 | 28 | |
| 20 | 22 |
About Deborah A. Nicoll‐Griffith
Deborah A. Nicoll‐Griffith is a scholar working on Pharmacology, Biochemistry and Pharmacology, having authored 60 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (26 papers), Inflammatory mediators and NSAID effects (16 papers) and Eicosanoids and Hypertension Pharmacology (13 papers). The work is most often cited by research in Pharmacology (1.2k citations), Biochemistry (242 citations) and Pharmacology (481 citations). Deborah A. Nicoll‐Griffith has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Nathalie Chauret, Thomas A. Baillie, Alan P. Watt, David C. Evans, Annick Gauthier, James A. Yergey, José M. Silva, Kevin P. Bateman, Stephen H. Day and Jean‐Frédéric Martin. Their work appears in journals such as Journal of Biological Chemistry, Analytical Chemistry and Nature Reviews Drug Discovery.
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.