Ken Scott
Impact in
- Clinical Biochemistry top 5%
- Paraoxonase enzyme and polymorphisms
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- Mercury impact and mitigation studies
- Heavy Metal Exposure and Toxicity
- Toxic Organic Pollutants Impact
Papers in
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- Coenzyme Q10 studies and effects 5
- Signaling Pathways in Disease 3
- Porphyrin Metabolism and Disorders 2
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- Paraoxonase enzyme and polymorphisms 9
- Co-authors
- François P. Bernier (5 shared papers)Anne Berna (5 shared papers)Nigel T. Roulet (1 shared paper)Andrew Heyes (1 shared paper)Ramón Aravena (1 shared paper)Carol A. Kelly (1 shared paper)R. A. Bodaly (1 shared paper)Tim R. Moore (1 shared paper)
- Journals
- FEBS Letters (2 papers)Journal of the Audio Engineering Society (1 paper)BMC Microbiology (1 paper)Food Research International (1 paper)BMC Cell Biology (1 paper)
- Partner nations
- New ZealandFranceUnited States
In The Last Decade
Ken Scott
27 papers receiving 758 citations
Peers
Comparison fields: 5 of 103
- Clinical Biochemistry 135
- Health, Toxicology and Mutagenesis 149
- Pollution 73
- Environmental Chemistry 61
- Immunology 118
Countries citing papers authored by Ken Scott
This map shows the geographic impact of Ken Scott'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 Ken Scott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Scott more than expected).
Fields of papers citing papers by Ken Scott
This network shows the impact of papers produced by Ken Scott. 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 Ken Scott. The network helps show where Ken Scott may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Scott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 279 | |
| 2 | 2002 | 87 | |
| 3 | 2002 | 51 | |
| 4 | 2007 | 49 | |
| 5 | 2009 | 45 | |
| 6 | 2002 | 37 | |
| 7 | 2005 | 35 | |
| 8 | 2007 | 28 | |
| 9 | 2009 | 28 | |
| 10 | 2018 | 28 | |
| 11 | 2007 | 19 | |
| 12 | 2009 | 19 | |
| 13 | 2018 | 19 | |
| 14 | 2007 | 17 | |
| 15 | 2007 | 17 | |
| 16 | 2002 | 14 | |
| 17 | 2007 | 10 | |
| 18 | 2013 | 10 | |
| 19 | 2013 | 6 | |
| 20 | 1974 | 6 |
About Ken Scott
Ken Scott is a scholar working on Molecular Biology, Clinical Biochemistry, Immunology, Hematology and Plant Science, having authored 28 papers that have together received 817 indexed citations. Recurring topics across this work include Paraoxonase enzyme and polymorphisms (9 papers), Coenzyme Q10 studies and effects (5 papers), Galectins and Cancer Biology (4 papers), Signaling Pathways in Disease (3 papers), Porphyrin Metabolism and Disorders (2 papers), Phytase and its Applications (2 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Iron Metabolism and Disorders (2 papers). The work is most often cited by research in Clinical Biochemistry (135 citations), Health, Toxicology and Mutagenesis (149 citations), Pollution (73 citations), Environmental Chemistry (61 citations) and Immunology (118 citations). Ken Scott has collaborated with scholars based in New Zealand, France and United States. Frequent co-authors include François P. Bernier, Anne Berna, Nigel T. Roulet, Andrew Heyes, Ramón Aravena, Carol A. Kelly, R. A. Bodaly, Tim R. Moore, Sherry L. Schiff and R. O. Harris. Their work appears in journals such as FEBS Letters, Journal of the Audio Engineering Society, BMC Microbiology, Food Research International and BMC Cell Biology.
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.