Ken Scott

980 citations
28 papers · 815 · h-index 15

Impact in

Papers in

Ken Scott

27 papers receiving 756 citations

Peers

Ken Scott
Comparison fields: 5 of 104
  • Clinical Biochemistry 121
  • Health, Toxicology and Mutagenesis 149
  • Pollution 73
  • Environmental Chemistry 61
  • Immunology 119
Replace Aurelio Serrano with:
Aurelio Serrano Spain
Qiming Zhou China
Ulla Eriksson Sweden
Lele Liu China
R. Klöcking Germany
Bénédicte Sohm France
Satoshi Tanaka Japan
James L. Zajicek United States
Rita Hannisdal Norway
Jeffrey R. Allen United States
Ken Scott relative to Aurelio Serrano Spain Aurelio Serrano's profile →
Citations per field
00.5×1.5×2.5×
Aurelio Serrano · 1×
Citations per year

Countries citing papers authored by Ken Scott

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ken Scott Line = papers co-authored together Ken Scott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997279
2 200287
3 200251
4 200749
5 200945
6 200237
7 200535
8 200728
9 200928
10 201828
11 200719
12 200919
13 200717
14 201817
15 200717
16 200214
17 200710
18 201310
19 20136
20 19746

About Ken Scott

Ken Scott is a scholar working on Molecular Biology, Clinical Biochemistry, Immunology, Plant Science and Hematology, having authored 28 papers that have together received 815 indexed citations. Recurring topics across this work include Paraoxonase enzyme and polymorphisms (7 papers), Coenzyme Q10 studies and effects (5 papers), Signaling Pathways in Disease (4 papers), Galectins and Cancer Biology (4 papers), Toxin Mechanisms and Immunotoxins (3 papers), Iron Metabolism and Disorders (2 papers), Mercury impact and mitigation studies (2 papers) and Enzyme Production and Characterization (2 papers). The work is most often cited by research in Clinical Biochemistry (121 citations), Health, Toxicology and Mutagenesis (149 citations), Pollution (73 citations), Environmental Chemistry (61 citations) and Immunology (119 citations). Ken Scott has collaborated with scholars based in New Zealand, France and United States. Frequent co-authors include Clarice R. Weinberg, François P. Bernier, Anne Berna, Tim R. Moore, R. O. Harris, Grant C. Edwards, R. A. Bodaly, Carol A. Kelly, Vincent L. St. Louis and John W. M. Rudd. Their work appears in journals such as FEBS Letters, Biochemical Society Transactions, Food Research International, Virology Journal and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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.

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