Greg Hough

4.7k citations
41 papers · 3.7k indexed · 1 hit paper · h-index 26

Greg Hough

41 papers receiving 3.6k citations

Hit Papers

Thematic review series: The Pathogenesis of Atheroscleros...5462004202620112018100200300400500

Peers

Greg Hough
Comparison fields: 5 of 121
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Biochemistry 420
  • Clinical Biochemistry 451
  • Cancer Research 678
  • Surgery 1.7k
Replace Jerzy–Roch Nofer with:
Jerzy–Roch Nofer Germany
Joan Carles Escolà‐Gil Spain
John R. Burnett Australia
Uwe J.F. Tietge Netherlands
Suzanne Lussier‐Cacan Canada
Zac Varghese United Kingdom
Saša Frank Austria
Lawrence W. Castellani United States
Geneviève Renier Canada
Chu‐Huang Chen Taiwan
Greg Hough relative to Jerzy–Roch Nofer Germany Jerzy–Roch Nofer's profile →
Citations per field
00.5×
Jerzy–Roch Nofer · 1×
Citations per year

Countries citing papers authored by Greg Hough

Since Specialization
Citations

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

Fields of papers citing papers by Greg Hough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 201712
3 201621
4 201541
5 20147
6 201334
7 201373
8 201358
9 201389
10 201257
11 201149
12 201155
13 201113
14 2010126
15 200950
16 200913
17 2005116
18
Thematic review series: The Pathogenesis of Atherosclerosis The oxidation hypothesis of atherogenesis: the role of oxidized phospholipids and HDLbreakdown →
2004546
19 2001270
20 19968

About Greg Hough

Greg Hough is a scholar working on Clinical Biochemistry, Biochemistry, Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research, having authored 41 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (16 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Lipoproteins and Cardiovascular Health (7 papers), Paraoxonase enzyme and polymorphisms (7 papers), Cancer, Lipids, and Metabolism (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Antioxidant Activity and Oxidative Stress (5 papers) and Atherosclerosis and Cardiovascular Diseases (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Biochemistry (420 citations), Clinical Biochemistry (451 citations), Cancer Research (678 citations) and Surgery (1.7k citations). Greg Hough has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Mohamad Navab, Alan M. Fogelman, Susan Hama, Srinivasa T. Reddy, Benjamin J. Ansell, David W. Garber, Víctor Grijalva, G.M. Anantharamaiah, Gregg C. Fonarow and Brian J. Van Lenten. Their work appears in journals such as Journal of Lipid Research, Arteriosclerosis Thrombosis and Vascular Biology, Circulation, Advances in experimental medicine and biology and Circulation Research.

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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