Nigel J. Waters
Impact in
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
-
- Computational Drug Discovery Methods
Papers in
- Pharmacology 13
- Pharmacogenetics and Drug Metabolism 11
- Hematology 11
- Acute Myeloid Leukemia Research 11
- Co-authors
- Franco LombardoR. Scott ObachJeremy K. NicholsonR. Duncan FarrantElaine HolmesCatherine J. WaterfieldRachel L. JonesRobert A. Copeland
- Journals
- Drug Metabolism and Disposition (6 papers)Molecular Cancer Therapeutics (5 papers)Blood (5 papers)Journal of Medicinal Chemistry (4 papers)Annals of Oncology (3 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Nigel J. Waters
52 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Pharmacology 555
- Computational Theory and Mathematics 476
- Molecular Biology 2.0k
- Hematology 302
- Spectroscopy 329
Countries citing papers authored by Nigel J. Waters
This map shows the geographic impact of Nigel J. Waters'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 Nigel J. Waters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nigel J. Waters more than expected).
Fields of papers citing papers by Nigel J. Waters
This network shows the impact of papers produced by Nigel J. Waters. 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 Nigel J. Waters. The network helps show where Nigel J. Waters may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nigel J. Waters, 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 | 2022 | 5 | |
| 2 | 2017 | 46 | |
| 3 | 2017 | 1 | |
| 4 | 2017 | 2 | |
| 5 | 2017 | 22 | |
| 6 | 2016 | 24 | |
| 7 | 2015 | 23 | |
| 8 | 2015 | 5 | |
| 9 | 2014 | 35 | |
| 10 | 2014 | 4 | |
| 11 | Potent inhibition of DOT1L as treatment of MLL-fusion leukemia Hit paper breakdown → | 2013 | 546 |
| 12 | 2012 | 72 | |
| 13 | 2012 | 57 | |
| 14 | 2011 | 88 | |
| 15 | 2010 | 6 | |
| 16 | Trend Analysis of a Database of Intravenous Pharmacokinetic Parameters in Humans for 670 Drug Compounds Hit paper breakdown → | 2008 | 374 |
| 17 | 2008 | 240 | |
| 18 | 2008 | 15 | |
| 19 | 2008 | 29 | |
| 20 | 2006 | 26 |
About Nigel J. Waters
Nigel J. Waters is a scholar working on Pharmacology, Hematology, Oncology, Computational Theory and Mathematics and Spectroscopy, having authored 58 papers that have together received 3.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (14 papers), Cancer-related gene regulation (13 papers), Pharmacogenetics and Drug Metabolism (11 papers), Acute Myeloid Leukemia Research (11 papers), Computational Drug Discovery Methods (10 papers), Analytical Chemistry and Chromatography (9 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Drug Transport and Resistance Mechanisms (7 papers). The work is most often cited by research in Pharmacology (555 citations), Computational Theory and Mathematics (476 citations), Molecular Biology (2.0k citations), Hematology (302 citations) and Spectroscopy (329 citations). Nigel J. Waters has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Franco Lombardo, R. Scott Obach, Jeremy K. Nicholson, R. Duncan Farrant, Elaine Holmes, Catherine J. Waterfield, Rachel L. Jones, Robert A. Copeland, Gareth Williams and Bindi Sohal. Their work appears in journals such as Drug Metabolism and Disposition, Molecular Cancer Therapeutics, Blood, Journal of Medicinal Chemistry and Annals of Oncology.
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.