Angus Nedderman
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Spectroscopy top 5%
- Analytical Chemistry and Chromatography
- Mass Spectrometry Techniques and Applications
Papers in
-
- Pharmacogenetics and Drug Metabolism 4
- Drug-Induced Hepatotoxicity and Protection 1
-
- Metabolomics and Mass Spectrometry Studies 2
- Co-authors
- Chandra Prakash (3 shared papers)Christopher L. Shaffer (1 shared paper)Deepak Dalvie (2 shared papers)R. Scott Obach (2 shared papers)Dennis A. Smith (1 shared paper)Evan Smith (1 shared paper)Cho‐Ming Loi (1 shared paper)Susan Hurst (1 shared paper)
- Journals
- Chemical Research in Toxicology (2 papers)The Analyst (2 papers)Current Drug Metabolism (1 paper)Journal of Medicinal Chemistry (1 paper)Mass Spectrometry Reviews (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Angus Nedderman
9 papers receiving 538 citations
Peers
Comparison fields: 5 of 73
- Pharmacology 195
- Spectroscopy 166
- Toxicology 18
- Computational Theory and Mathematics 64
- Molecular Biology 252
Countries citing papers authored by Angus Nedderman
This map shows the geographic impact of Angus Nedderman'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 Angus Nedderman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angus Nedderman more than expected).
Fields of papers citing papers by Angus Nedderman
This network shows the impact of papers produced by Angus Nedderman. 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 Angus Nedderman. The network helps show where Angus Nedderman may publish in the future.
Co-authors
The 25 scholars most cited alongside Angus Nedderman, 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 | 2007 | 220 | |
| 2 | 2009 | 136 | |
| 3 | 2016 | 59 | |
| 4 | 2008 | 46 | |
| 5 | 2009 | 44 | |
| 6 | 1998 | 23 | |
| 7 | 1998 | 21 | |
| 8 | 2018 | 3 | |
| 9 | 2011 | 3 |
About Angus Nedderman
Angus Nedderman is a scholar working on Pharmacology, Molecular Biology, Animal Science and Zoology, Computational Theory and Mathematics and Endocrinology, Diabetes and Metabolism, having authored 9 papers that have together received 555 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Hormonal and reproductive studies (2 papers), Pharmacological Effects and Assays (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Computational Drug Discovery Methods (2 papers), Pesticide Residue Analysis and Safety (2 papers), Synthesis and Reactivity of Heterocycles (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). The work is most often cited by research in Pharmacology (195 citations), Spectroscopy (166 citations), Toxicology (18 citations), Computational Theory and Mathematics (64 citations) and Molecular Biology (252 citations). Angus Nedderman has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Chandra Prakash, Christopher L. Shaffer, Deepak Dalvie, R. Scott Obach, Dennis A. Smith, Evan Smith, Cho‐Ming Loi, Susan Hurst, Ping Kang and Raman Sharma. Their work appears in journals such as Chemical Research in Toxicology, The Analyst, Current Drug Metabolism, Journal of Medicinal Chemistry and Mass Spectrometry Reviews.
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.