G.S. Boyd
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism 21
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- Hormonal Regulation and Hypertension 19
- Hormonal and reproductive studies 16
- Biochemistry top 5%
- Clinical Biochemistry top 5%
- Behavioral Neuroscience top 10%
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- Cholesterol and Lipid Metabolism 16
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- Drug Transport and Resistance Mechanisms 13
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- Steroid Chemistry and Biochemistry 9
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- Cancer, Lipids, and Metabolism 6
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- Liver Disease Diagnosis and Treatment 5
- Co-authors
- M.F. OliverE R SimpsonS. SulimoviciColin R. JefcoateKeith E. SucklingM. A. EastwoodW H TrzeciakRobert Hume
- Journals
- FEBS Letters (6 papers)Biochemical and Biophysical Research Communications (5 papers)Biochemical Society Transactions (4 papers)
- Partner nations
- United KingdomUnited StatesNigeria
In The Last Decade
G.S. Boyd
84 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 108
- Pharmacology 608
- Endocrinology, Diabetes and Metabolism 1.0k
- Biochemistry 170
- Clinical Biochemistry 133
- Behavioral Neuroscience 49
Countries citing papers authored by G.S. Boyd
This map shows the geographic impact of G.S. Boyd'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.S. Boyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.S. Boyd more than expected).
Fields of papers citing papers by G.S. Boyd
This network shows the impact of papers produced by G.S. Boyd. 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.S. Boyd. The network helps show where G.S. Boyd may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G.S. Boyd, 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 | 1986 | 12 | |
| 2 | 1983 | 1 | |
| 3 | 1981 | 3 | |
| 4 | 1981 | 11 | |
| 5 | 1981 | 10 | |
| 6 | 1979 | 41 | |
| 7 | Serum protein changes associated with alpha1-antitrypsin deficiency. | 1978 | 1 |
| 8 | 1978 | 49 | |
| 9 | 1974 | 26 | |
| 10 | 1971 | 29 | |
| 11 | 1971 | 2 | |
| 12 | 1971 | 32 | |
| 13 | 1971 | 15 | |
| 14 | 1970 | 85 | |
| 15 | 1970 | 4 | |
| 16 | 1968 | 41 | |
| 17 | 1968 | 18 | |
| 18 | 1966 | 27 | |
| 19 | 1961 | 1 | |
| 20 | 1957 | 5 |
About G.S. Boyd
G.S. Boyd is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism, Biochemistry, Oncology and Cancer Research, having authored 85 papers that have together received 2.5k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (21 papers), Hormonal Regulation and Hypertension (19 papers), Hormonal and reproductive studies (16 papers), Cholesterol and Lipid Metabolism (16 papers), Drug Transport and Resistance Mechanisms (13 papers), Steroid Chemistry and Biochemistry (9 papers), Cancer, Lipids, and Metabolism (6 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Pharmacology (608 citations), Endocrinology, Diabetes and Metabolism (1.0k citations), Biochemistry (170 citations), Clinical Biochemistry (133 citations) and Behavioral Neuroscience (49 citations). G.S. Boyd has collaborated with scholars based in United Kingdom, United States and Nigeria. Frequent co-authors include M.F. Oliver, E R Simpson, S. Sulimovici, Colin R. Jefcoate, Keith E. Suckling, M. A. Eastwood, W H Trzeciak, Robert Hume, M. F. Oliver and J. Ian Mason. Their work appears in journals such as FEBS Letters, Biochemical and Biophysical Research Communications, Biochemical Society Transactions, European Journal of Biochemistry and The Lancet.
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.