Keith E. Suckling
- Biochemistry top 1%
- Lipid metabolism and biosynthesis 12
- Cancer Research top 2%
- Cancer, Lipids, and Metabolism 10
- Surgery top 1%
- Cholesterol and Lipid Metabolism 45
- Lipoproteins and Cardiovascular Health 31
- Biochemistry top 2%
- Lipid metabolism and biosynthesis 12
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- Drug Transport and Resistance Mechanisms 21
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- Pharmacogenetics and Drug Metabolism 12
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- Peroxisome Proliferator-Activated Receptors 11
- Steroid Chemistry and Biochemistry 10
- Co-authors
- Eduard F. StangeColin H. MacpheeMuriel CaslakeChris J. PackardLisa PatelBrian JacksonKathleen M. BothamGeorge S. Boyd
- Cited by
- BiochemistryCancer ResearchSurgery
- Journals
- Atherosclerosis (17 papers)Biochemical Society Transactions (14 papers)FEBS Letters (7 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Keith E. Suckling
122 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Biochemistry 396
- Cancer Research 779
- Surgery 2.1k
- Endocrinology, Diabetes and Metabolism 731
- Biochemistry 244
Countries citing papers authored by Keith E. Suckling
This map shows the geographic impact of Keith E. Suckling'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 Keith E. Suckling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith E. Suckling more than expected).
Fields of papers citing papers by Keith E. Suckling
This network shows the impact of papers produced by Keith E. Suckling. 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 Keith E. Suckling. The network helps show where Keith E. Suckling may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keith E. Suckling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 1 | |
| 2 | 2010 | 21 | |
| 3 | 2007 | 13 | |
| 4 | 2005 | 4 | |
| 5 | 2005 | 11 | |
| 6 | 2005 | 177 | |
| 7 | Lipoprotein-Associated Phospholipase A2as an Independent Predictor of Coronary Heart Diseasebreakdown → | 2000 | 671 |
| 8 | 1998 | 14 | |
| 9 | 1997 | 16 | |
| 10 | 1997 | 19 | |
| 11 | 1996 | 12 | |
| 12 | 1995 | 21 | |
| 13 | 1993 | 17 | |
| 14 | 1993 | 20 | |
| 15 | 1993 | 8 | |
| 16 | 1992 | 29 | |
| 17 | 1991 | 109 | |
| 18 | 1990 | 9 | |
| 19 | 1990 | 31 | |
| 20 | 1989 | 4 |
About Keith E. Suckling
Keith E. Suckling is a scholar working on Biochemistry, Surgery and Pharmacology, having authored 123 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (45 papers), Lipoproteins and Cardiovascular Health (31 papers), Drug Transport and Resistance Mechanisms (21 papers), Pharmacogenetics and Drug Metabolism (12 papers), Lipid metabolism and biosynthesis (12 papers), Peroxisome Proliferator-Activated Receptors (11 papers), Cancer, Lipids, and Metabolism (10 papers) and Steroid Chemistry and Biochemistry (10 papers). The work is most often cited by research in Biochemistry (396 citations), Cancer Research (779 citations) and Surgery (2.1k citations). Keith E. Suckling has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Eduard F. Stange, Colin H. Macphee, Muriel Caslake, Chris J. Packard, Lisa Patel, Brian Jackson, Kathleen M. Botham, George S. Boyd, G.S. Boyd and John M. Dietschy. Their work appears in journals such as Atherosclerosis, Biochemical Society Transactions, FEBS Letters, Biochemical Journal and Biochimica et Biophysica Acta (BBA) - Biomembranes.
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.