G.S. Boyd

3.2k citations
93 papers · 2.9k · h-index 34

Impact in

Papers in

G.S. Boyd

90 papers receiving 2.4k citations

Peers

G.S. Boyd
Comparison fields: 5 of 112
  • Pharmacology 695
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Biochemistry 185
  • Clinical Biochemistry 149
  • Behavioral Neuroscience 59
Replace George S. Boyd with:
George S. Boyd United Kingdom
Kjell Wikvall Sweden
R. Neher Switzerland
Thomas G. Consler United States
Randy K. Bledsoe United States
H. Breuer Germany
Norman B. Javitt United States
Shizuo Nakajin Japan
Mikio Shikita Japan
Jacques Gielen Belgium
G.S. Boyd relative to George S. Boyd United Kingdom George S. Boyd's profile →
Citations per field
00.5×2.8×
George S. Boyd · 1×
Citations per year

Countries citing papers authored by G.S. Boyd

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with G.S. Boyd Line = papers co-authored together G.S. Boyd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1967206
2 1959179
3 1966112
4 1956110
5 1953106
6 197094
7 197388
8 197382
9 195682
10 198178
11
Plasma lipid and serum lipoprotein patterns during pregnancy and puerperium.
195571
12 198370
13 196769
14 195569
15 196662
16 195461
17 196055
18 197655
19 197852
20 196048

About G.S. Boyd

G.S. Boyd is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pharmacology, Surgery and Oncology, having authored 93 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (23 papers), Hormonal Regulation and Hypertension (20 papers), Hormonal and reproductive studies (18 papers), Cholesterol and Lipid Metabolism (17 papers), Drug Transport and Resistance Mechanisms (14 papers), Steroid Chemistry and Biochemistry (9 papers), Cancer, Lipids, and Metabolism (7 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Pharmacology (695 citations), Endocrinology, Diabetes and Metabolism (1.1k citations), Biochemistry (185 citations), Clinical Biochemistry (149 citations) and Behavioral Neuroscience (59 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, Robert Hume, W H Trzeciak, 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.

Explore authors with similar magnitude of impact