K. Williams

757 citations
44 papers · 633 · h-index 13

Impact in

    • Sulfur Compounds in Biology
    • Eicosanoids and Hypertension Pharmacology
    • Pharmacogenetics and Drug Metabolism

Papers in

K. Williams

41 papers receiving 550 citations

Peers

K. Williams
Comparison fields: 5 of 98
  • Biochemistry 114
  • Pharmacology 77
  • Clinical Biochemistry 40
  • Cancer Research 77
  • Molecular Biology 265
Replace David R. Dohn with:
David R. Dohn United States
Cathaline den Besten Netherlands
N. Weger Germany
Bengt Mannervik Sweden
Margherita Ferro Italy
William T. Allaben United States
Gillian M. Powell United Kingdom
Keith H. Byington United States
A.A.J. van Iersel Netherlands
Inga Jakobson Sweden
K. Williams relative to David R. Dohn United States David R. Dohn's profile →
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David R. Dohn · 1×
Citations per year

Countries citing papers authored by K. Williams

Since Specialization
Citations

This map shows the geographic impact of K. Williams'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 K. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Williams more than expected).

Fields of papers citing papers by K. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Williams. 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 K. Williams. The network helps show where K. Williams may publish in the future.

Co-authors

The 25 scholars most cited alongside K. Williams, 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 K. Williams Line = papers co-authored together K. Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1965177
2 196365
3 195638
4 196936
5 195634
6 195532
7 201931
8 195428
9 198828
10 198727
11 196017
12 202112
13 197112
14 202110
15 19719
16 20219
17 20218
18 20237
19 20216
20 20085

About K. Williams

K. Williams is a scholar working on Molecular Biology, Clinical Biochemistry, Genetics, Immunology and Organic Chemistry, having authored 44 papers that have together received 633 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (8 papers), Muscle Physiology and Disorders (6 papers), Neurogenetic and Muscular Disorders Research (3 papers), Hemoglobinopathies and Related Disorders (3 papers), Diet and metabolism studies (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Biochemistry (114 citations), Pharmacology (77 citations), Clinical Biochemistry (40 citations), Cancer Research (77 citations) and Molecular Biology (265 citations). K. Williams has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include E. Boyland, B. Spencer, K. S. Dodgson, Sarah Acaster, K. Buesch, Roger Y. Dodd, Alan Williams, David Hughes, David D. Pascoe and David C. Green. Their work appears in journals such as Value in Health, Orphanet Journal of Rare Diseases, Current Medical Research and Opinion, Water Research and Transfusion.

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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