Christine M. Williams

9.1k citations
119 papers · 7.1k indexed · 2 hit papers · h-index 46

Christine M. Williams

119 papers receiving 6.7k citations

Hit Papers

Low-grade inflammation, diet composi...6582000202620082017200400600

Peers

Christine M. Williams
Comparison fields: 5 of 143
  • Nutrition and Dietetics 3.3k
  • Biochemistry 912
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Physiology 1.8k
  • Biochemistry 361
Replace Clemens von Schacky with:
Clemens von Schacky Germany
Irena B. King United States
Ulf Risérus Sweden
Terry D. Etherton United States
B. Vessby Sweden
Donald Β. Jump United States
Patrick Couture Canada
Darshan S. Kelley United States
Jogchum Plat Netherlands
Rolf K. Berge Norway
Christine M. Williams relative to Clemens von Schacky Germany Clemens von Schacky's profile →
Citations per field
00.5×1.5×
Clemens von Schacky · 1×
Citations per year

Countries citing papers authored by Christine M. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Christine M. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20129
2 201126
3 201183
4 2010149
5 2007236
6 200741
7 200623
8 200520
9 200535
10 200530
11 200537
12 200490
13 200459
14 200422
15 2003201
16 200348
17 199992
18 19967
19
Effects of dietary fatty acid composition on postprandial insulin , GIP and Lipoprotein Lipase activity
19944
20 199338

About Christine M. Williams

Christine M. Williams is a scholar working on Nutrition and Dietetics, Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 119 papers that have together received 7.1k indexed citations. Recurring topics across this work include Fatty Acid Research and Health (59 papers), Diet, Metabolism, and Disease (23 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers), Diet and metabolism studies (19 papers), Cholesterol and Lipid Metabolism (18 papers), Lipid metabolism and biosynthesis (16 papers), Eicosanoids and Hypertension Pharmacology (12 papers) and Lipid metabolism and disorders (12 papers). The work is most often cited by research in Nutrition and Dietetics (3.3k citations), Biochemistry (912 citations) and Endocrinology, Diabetes and Metabolism (1.6k citations). Christine M. Williams has collaborated with scholars based in United Kingdom, Ireland and France. Frequent co-authors include Anne Marie Minihane, Graham C. Burdge, Kim G. Jackson, Philip C. Calder, Yvonne Finnegan, Samantha Kew, Nathalie M. Delzenne, Keith N. Frayn, Parveen Yaqoob and José López‐Miranda. Their work appears in journals such as American Journal of Clinical Nutrition, International Journal of Molecular Sciences and Journal of Nutrition.

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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