L. Notley
Impact in
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
- Inflammatory mediators and NSAID effects
Papers in
-
- Pharmacogenetics and Drug Metabolism 7
-
- Computational Drug Discovery Methods 4
- Co-authors
- Elizabeth M. J. Gillam (8 shared papers)F. Peter Guengerich (4 shared papers)Hongliang Cai (1 shared paper)James J. De Voss (2 shared papers)M. S. Lennard (2 shared papers)H.K. Crewe (1 shared paper)Donghak Kim (2 shared papers)А. А. Волков (2 shared papers)
- Journals
- Chemical Research in Toxicology (2 papers)Biochemical and Biophysical Research Communications (1 paper)The FASEB Journal (1 paper)Drug Metabolism and Disposition (1 paper)Biochemistry (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
L. Notley
8 papers receiving 705 citations
Peers
Comparison fields: 5 of 86
- Pharmacology 366
- Biological Psychiatry 26
- Oncology 128
- Pharmacology 76
- Computational Theory and Mathematics 76
Countries citing papers authored by L. Notley
This map shows the geographic impact of L. Notley'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 L. Notley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Notley more than expected).
Fields of papers citing papers by L. Notley
This network shows the impact of papers produced by L. Notley. 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 L. Notley. The network helps show where L. Notley may publish in the future.
Co-authors
The 19 scholars most cited alongside L. Notley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 254 | |
| 2 | 2002 | 202 | |
| 3 | 1999 | 117 | |
| 4 | 2002 | 56 | |
| 5 | 2002 | 45 | |
| 6 | 2005 | 32 | |
| 7 | 2000 | 16 | |
| 8 | Formation of indigo by recombinant mammalian cytochrome P450 | 2000 | 2 |
About L. Notley
L. Notley is a scholar working on Pharmacology, Computational Theory and Mathematics, Genetics, Molecular Biology and Oncology, having authored 8 papers that have together received 724 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (7 papers), Estrogen and related hormone effects (4 papers), Computational Drug Discovery Methods (4 papers), Hormonal Regulation and Hypertension (2 papers), Microbial Metabolism and Applications (1 paper), Receptor Mechanisms and Signaling (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Innovative Microfluidic and Catalytic Techniques Innovation (1 paper). The work is most often cited by research in Pharmacology (366 citations), Biological Psychiatry (26 citations), Oncology (128 citations), Pharmacology (76 citations) and Computational Theory and Mathematics (76 citations). L. Notley has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Elizabeth M. J. Gillam, F. Peter Guengerich, Hongliang Cai, James J. De Voss, M. S. Lennard, H.K. Crewe, Donghak Kim, А. А. Волков, Ralf G. Mundkowski and Pavel Souček. Their work appears in journals such as Chemical Research in Toxicology, Biochemical and Biophysical Research Communications, The FASEB Journal, Drug Metabolism and Disposition and Biochemistry.
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.