G C Ness
Impact in
- Surgery top 5%
- Cholesterol and Lipid Metabolism
- Lipoproteins and Cardiovascular Health
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
-
- Plant biochemistry and biosynthesis 7
- Peroxisome Proliferator-Activated Receptors 5
- Surgery 14
- Cholesterol and Lipid Metabolism 13
- Lipoproteins and Cardiovascular Health 3
- Co-authors
- W. Scott Simonet (2 shared papers)Sarah Shefer (10 shared papers)G Salen (9 shared papers)R. Kennedy Keller (4 shared papers)G. Stephen Tint (7 shared papers)Laura C. Pendleton (5 shared papers)Zuohui Zhao (2 shared papers)Clare E. Sample (3 shared papers)
- Journals
- Journal of Biological Chemistry (12 papers)Archives of Biochemistry and Biophysics (5 papers)Journal of Lipid Research (4 papers)Journal of Clinical Investigation (3 papers)Journal of Andrology (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
G C Ness
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 77
- Surgery 725
- Biochemistry 120
- Endocrinology, Diabetes and Metabolism 212
- Molecular Biology 724
- Pharmacology 87
Countries citing papers authored by G C Ness
This map shows the geographic impact of G C Ness'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 G C Ness with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G C Ness more than expected).
Fields of papers citing papers by G C Ness
This network shows the impact of papers produced by G C Ness. 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 G C Ness. The network helps show where G C Ness may publish in the future.
Co-authors
The 25 scholars most cited alongside G C Ness, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 98 | |
| 2 | 1984 | 94 | |
| 3 | 1992 | 85 | |
| 4 | 1988 | 69 | |
| 5 | 1991 | 66 | |
| 6 | 1989 | 66 | |
| 7 | 1995 | 61 | |
| 8 | 1986 | 61 | |
| 9 | 1985 | 60 | |
| 10 | 1995 | 59 | |
| 11 | 1991 | 56 | |
| 12 | 1994 | 54 | |
| 13 | 1979 | 53 | |
| 14 | 1994 | 52 | |
| 15 | 1994 | 51 | |
| 16 | 1994 | 48 | |
| 17 | 1990 | 33 | |
| 18 | 1990 | 29 | |
| 19 | 1991 | 28 | |
| 20 | 1985 | 22 |
About G C Ness
G C Ness is a scholar working on Molecular Biology, Surgery, Computational Theory and Mathematics, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (13 papers), Computational Drug Discovery Methods (7 papers), Plant biochemistry and biosynthesis (7 papers), Hormonal Regulation and Hypertension (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Metabolism and Genetic Disorders (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). The work is most often cited by research in Surgery (725 citations), Biochemistry (120 citations), Endocrinology, Diabetes and Metabolism (212 citations), Molecular Biology (724 citations) and Pharmacology (87 citations). G C Ness has collaborated with scholars based in United States and India. Frequent co-authors include W. Scott Simonet, Sarah Shefer, G Salen, R. Kennedy Keller, G. Stephen Tint, Laura C. Pendleton, Zuohui Zhao, Clare E. Sample, Zhihong Zhao and A K Batta. Their work appears in journals such as Journal of Biological Chemistry, Archives of Biochemistry and Biophysics, Journal of Lipid Research, Journal of Clinical Investigation and Journal of Andrology.
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.