Greg Hough

44 papers receiving 4.0k citations

Peers

Greg Hough
Comparison fields: 5 of 125
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Biochemistry 390
  • Clinical Biochemistry 418
  • Cancer Research 604
  • Surgery 1.5k
Replace Benjamin J. Ansell with:
Benjamin J. Ansell United States
Bela F. Asztalos United States
Xiong Zhong Ruan China
T.G. Redgrave Australia
Monica Gomaraschi Italy
Eileen M. Mahoney United States
Narendra D. Lalwani United States
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Greg Hough relative to Benjamin J. Ansell United States Benjamin J. Ansell's profile →
Citations per field
00.5×1.7×
Benjamin J. Ansell · 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-authors

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

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004573
2 2003525
3 2002354
4 2004296
5 2001295
6 2005222
7 2010177
8 2010133
9 2005133
10 2005124
11 2014107
12 2005102
13 2013100
14 201791
15 201380
16 201361
17 200561
18 201260
19 201158
20 200355

About Greg Hough

Greg Hough is a scholar working on Clinical Biochemistry, Surgery, Cancer Research, Biochemistry and Nutrition and Dietetics, having authored 45 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (13 papers), Paraoxonase enzyme and polymorphisms (8 papers), Cancer, Lipids, and Metabolism (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Lipoproteins and Cardiovascular Health (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Antioxidant Activity and Oxidative Stress (5 papers) and Hibiscus Plant Research Studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Biochemistry (390 citations), Clinical Biochemistry (418 citations), Cancer Research (604 citations) and Surgery (1.5k citations). Greg Hough has collaborated with scholars based in United States, Russia and Hong Kong. Frequent co-authors include Mohamad Navab, Alan M. Fogelman, Susan Y. Hama, Srinivasa T. Reddy, Benjamin J. Ansell, David W. Garber, Victor R. Grijalva, Brian J. Van Lenten, G.M. Anantharamaiah and Gregg Fonarow. Their work appears in journals such as Journal of Lipid Research, Arteriosclerosis Thrombosis and Vascular Biology, Circulation, Advances in experimental medicine and biology and Current Medicinal Chemistry.

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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