WS Harris

2.0k total citations · 1 hit paper
12 papers, 1.6k citations indexed

About

WS Harris is a scholar working on Nutrition and Dietetics, Biochemistry and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, WS Harris has authored 12 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nutrition and Dietetics, 3 papers in Biochemistry and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in WS Harris's work include Fatty Acid Research and Health (8 papers), Lipid metabolism and biosynthesis (2 papers) and Food composition and properties (1 paper). WS Harris is often cited by papers focused on Fatty Acid Research and Health (8 papers), Lipid metabolism and biosynthesis (2 papers) and Food composition and properties (1 paper). WS Harris collaborates with scholars based in United States, Kenya and Australia. WS Harris's co-authors include Connor We, Fulvio Muzio, D. Diederich, J A Ontko, Qi Cheng, Guoping Lü, Rachel A. Murphy, Matthias B. Schulze, Fumiaki Imamura and Matti Marklund and has published in prestigious journals such as Blood, American Journal of Clinical Nutrition and PubMed.

In The Last Decade

WS Harris

11 papers receiving 1.5k citations

Hit Papers

n-3 fatty acids and serum lipoproteins: human studies 1997 2026 2006 2016 1997 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
WS Harris United States 6 1.1k 471 432 400 324 12 1.6k
Cor de Lezenne Coulander Netherlands 4 1.2k 1.1× 469 1.0× 449 1.0× 240 0.6× 261 0.8× 4 1.8k
Niels Hjørne Denmark 12 1.1k 1.0× 369 0.8× 430 1.0× 309 0.8× 286 0.9× 18 1.6k
WS Harris United States 8 946 0.8× 395 0.8× 329 0.8× 287 0.7× 250 0.8× 8 1.3k
Sam Hashimoto United States 20 634 0.6× 697 1.5× 280 0.6× 312 0.8× 410 1.3× 35 1.7k
N. Kromann Denmark 8 978 0.9× 377 0.8× 339 0.8× 179 0.4× 246 0.8× 13 1.4k
Sheryl L. Windsor United States 16 862 0.8× 586 1.2× 417 1.0× 618 1.5× 349 1.1× 26 1.8k
Màrgàretà Öhrvall Sweden 20 635 0.6× 645 1.4× 133 0.3× 348 0.9× 589 1.8× 34 1.8k
Jyrki J. Ågren Finland 19 531 0.5× 252 0.5× 240 0.6× 214 0.5× 198 0.6× 31 1.1k
Sue Wong United States 9 808 0.7× 438 0.9× 443 1.0× 315 0.8× 241 0.7× 9 1.2k
Seymour Dayton United States 25 908 0.8× 802 1.7× 271 0.6× 425 1.1× 638 2.0× 49 2.2k

Countries citing papers authored by WS Harris

Since Specialization
Citations

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

Fields of papers citing papers by WS Harris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of WS Harris

This figure shows the co-authorship network connecting the top 25 collaborators of WS Harris. A scholar is included among the top collaborators of WS Harris based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with WS Harris. WS Harris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Imamura, Fumiaki, Rachel A. Murphy, Julie K. Bassett, et al.. (2019). OP36 Trans fatty acid biomarkers and incident type 2 diabetes: pooled analysis of 10 prospective cohort studies in the fatty acids and outcomes research consortium (FORCE). Oral Presentations. A17.1–A17. 1 indexed citations
2.
Harris, WS, et al.. (1997). Influence of n-3 fatty acid supplementation on the endogenous activities of plasma lipases. American Journal of Clinical Nutrition. 66(2). 254–260. 105 indexed citations
3.
Harris, WS, et al.. (1997). n-3 fatty acids and urinary excretion of nitric oxide metabolites in humans. American Journal of Clinical Nutrition. 65(2). 459–464. 96 indexed citations
4.
Harris, WS. (1997). n-3 fatty acids and serum lipoproteins: human studies. American Journal of Clinical Nutrition. 65(5). 1645S–1654S. 959 indexed citations breakdown →
5.
Harris, WS, et al.. (1996). Identification and characteristic of LDL-subfractions in human plasma.. PubMed. 67(6). 60–5. 2 indexed citations
6.
Harris, WS & Fulvio Muzio. (1993). Fish oil reduces postprandial triglyceride concentrations without accelerating lipid-emulsion removal rates. American Journal of Clinical Nutrition. 58(1). 68–74. 90 indexed citations
7.
Harris, WS, et al.. (1992). Evaluation of clinical and biochemical parameters after short term consumption of microparticulated protein fat substitute (Simplesse®) in a frozen dessert.. PubMed. 1(2). 81–7. 1 indexed citations
8.
We, Connor, et al.. (1988). Hypolipidemic effects of dietary omega-3 fatty acids in humans.. PubMed. 255. 243–53. 1 indexed citations
9.
Harris, WS, et al.. (1987). Effect of Fish Oil on Plasma Lipids and Platelet Function in Hyperlipoproteinemics. Journal of Cardiopulmonary Rehabilitation. 7(4). 176–176. 3 indexed citations
11.
12.
Harris, WS. (1954). Erosion of bone produced by glomus tumour.. PubMed. 70(6). 684–5. 3 indexed citations

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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