K. Williams

752 citations
43 papers · 553 · h-index 12

Impact in

    • Sulfur Compounds in Biology
    • Eicosanoids and Hypertension Pharmacology
  • Pharmacology top 10%
    • Pharmacogenetics and Drug Metabolism

Papers in

    • Muscle Physiology and Disorders 6
    • Mitochondrial Function and Pathology 4
    • Neurogenetic and Muscular Disorders Research 5
    • Hemoglobinopathies and Related Disorders 3

K. Williams

42 papers receiving 493 citations

Peers

K. Williams
Comparison fields: 5 of 101
  • Biochemistry 108
  • Pharmacology 72
  • Clinical Biochemistry 36
  • Cancer Research 55
  • Molecular Biology 242
Replace Dianne Botta with:
Dianne Botta United States
J Pachecka Poland
Leonard F. Blackwell New Zealand
Yogesh C. Awasthi United States
Monique Saintot France
Eiko Sugiyama Japan
Bruce N. Ames United States
Geri L. Youngblood United States
S. Galiano Italy
Yatao Du China
K. Williams relative to Dianne Botta United States Dianne Botta's profile →
Citations per field
00.5×2.6×
Dianne Botta · 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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1965159
2 196355
3 195630
4 195530
5 195629
6 201928
7 196926
8 195426
9 198726
10 198826
11 196013
12 202112
13 20219
14 20219
15 20218
16 19718
17 20216
18 20235
19 20085
20 20204

About K. Williams

K. Williams is a scholar working on Molecular Biology, Genetics, Clinical Biochemistry, Physiology and Cellular and Molecular Neuroscience, having authored 43 papers that have together received 553 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (8 papers), Muscle Physiology and Disorders (6 papers), Diet and metabolism studies (5 papers), Neurogenetic and Muscular Disorders Research (5 papers), Mitochondrial Function and Pathology (4 papers), Genetic Neurodegenerative Diseases (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Hemoglobinopathies and Related Disorders (3 papers). The work is most often cited by research in Biochemistry (108 citations), Pharmacology (72 citations), Clinical Biochemistry (36 citations), Cancer Research (55 citations) and Molecular Biology (242 citations). K. Williams has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include E. Boyland, K. S. Dodgson, B. Spencer, Sarah Acaster, Katharina Buesch, Alan Williams, Roger Y. Dodd, David C. Green, David D. Pascoe and David Hughes. Their work appears in journals such as Value in Health, Orphanet Journal of Rare Diseases, Current Medical Research and Opinion, iScience and Patient Preference and Adherence.

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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