G C Ness
- Biochemistry top 5%
- Surgery top 5%
- Cholesterol and Lipid Metabolism 13
- Lipoproteins and Cardiovascular Health 3
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- Hormonal Regulation and Hypertension 5
- Molecular Biology top 10%
- Plant biochemistry and biosynthesis 7
- Peroxisome Proliferator-Activated Receptors 5
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism 3
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- Computational Drug Discovery Methods 7
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- Metabolism and Genetic Disorders 3
- Co-authors
- W. Scott SimonetSarah SheferG SalenR. Kennedy KellerG. Stephen TintLaura C. PendletonZuohui ZhaoClare E. Sample
- Journals
- Journal of Biological Chemistry (12 papers)Archives of Biochemistry and Biophysics (5 papers)Journal of Lipid Research (4 papers)
- Partner nations
- United StatesIndia
In The Last Decade
G C Ness
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 76
- Biochemistry 121
- Surgery 726
- Endocrinology, Diabetes and Metabolism 214
- Molecular Biology 730
- Pharmacology 80
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 21 | |
| 2 | 1995 | 56 | |
| 3 | 1995 | 58 | |
| 4 | 1994 | 48 | |
| 5 | 1994 | 44 | |
| 6 | 1994 | 53 | |
| 7 | 1994 | 11 | |
| 8 | 1993 | 14 | |
| 9 | 1992 | 84 | |
| 10 | 1991 | 7 | |
| 11 | 1991 | 26 | |
| 12 | 1991 | 65 | |
| 13 | 1990 | 96 | |
| 14 | 1990 | 24 | |
| 15 | 1989 | 65 | |
| 16 | 1988 | 65 | |
| 17 | 1987 | 9 | |
| 18 | 1986 | 61 | |
| 19 | 1985 | 20 | |
| 20 | 1984 | 92 |
About G C Ness
G C Ness is a scholar working on Pharmacology, Computational Theory and Mathematics, Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Surgery, having authored 29 papers that have together received 1.2k 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), Peroxisome Proliferator-Activated Receptors (5 papers), Hormonal Regulation and Hypertension (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 Biochemistry (121 citations), Surgery (726 citations), Endocrinology, Diabetes and Metabolism (214 citations), Molecular Biology (730 citations) and Pharmacology (80 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 Biochemical Journal.
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.