Murray W. Huff

9.3k citations
144 papers · 7.2k indexed · h-index 52

Impact in

Papers in

Murray W. Huff

143 papers receiving 7.0k citations

Peers

Murray W. Huff
Comparison fields: 5 of 116
  • Biochemistry 1.0k
  • Endocrinology, Diabetes and Metabolism 1.9k
  • Biochemistry 489
  • Cancer Research 903
  • Surgery 2.6k
Replace Philippe Gambert with:
Philippe Gambert France
Jeffrey S. Cohn Canada
Tony Hayek Israel
Susan Hama United States
Arie van Tol Netherlands
Valérie B. Schini‐Kerth France
Roger S. Newton United States
Tsuguhito Ota Japan
Gianna Ferretti Italy
Fiorella Biasi Italy
Murray W. Huff relative to Philippe Gambert France Philippe Gambert's profile →
Citations per field
00.5×2.5×
Philippe Gambert · 1×
Citations per year

Countries citing papers authored by Murray W. Huff

Since Specialization
Citations

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

Fields of papers citing papers by Murray W. Huff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Murray W. Huff. 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 Murray W. Huff. The network helps show where Murray W. Huff may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202050
2
The Effect of a High-Fat Diet on Arthritis Using a Mouse Model of Rheumatoid Arthritis
20171
3 201467
4 201234
5 2012113
6 2010136
7 2009137
8 200843
9 200895
10 200732
11 200614
12 200691
13 2005107
14 199825
15 199791
16 19974
17 199332
18 199315
19 199016
20 198932

About Murray W. Huff

Murray W. Huff is a scholar working on Biochemistry, Biochemistry, Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research, having authored 144 papers that have together received 7.2k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (48 papers), Lipoproteins and Cardiovascular Health (33 papers), Peroxisome Proliferator-Activated Receptors (25 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (25 papers), Lipid metabolism and disorders (23 papers), Cancer, Lipids, and Metabolism (21 papers), Lipid metabolism and biosynthesis (14 papers) and Fatty Acid Research and Health (12 papers). The work is most often cited by research in Biochemistry (1.0k citations), Endocrinology, Diabetes and Metabolism (1.9k citations), Biochemistry (489 citations), Cancer Research (903 citations) and Surgery (2.6k citations). Murray W. Huff has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Dawn E. Telford, Erin E. Mulvihill, Robert A. Hegele, Cynthia G. Sawyez, Jane Y. Edwards, Nica M. Borradaile, Lisa J. Wilcox, Amy C. Burke, P. Hugh R. Barrett and Brian G. Sutherland. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Journal of Lipid Research, Current Opinion in Lipidology, Metabolism and Atherosclerosis.

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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