G.S. Boyd

3.4k citations
99 papers · 3k · h-index 33

Impact in

Papers in

G.S. Boyd

94 papers receiving 2.4k citations

Peers

G.S. Boyd
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 808
  • Surgery 1.1k
  • Biochemistry 123
  • Pharmacology 168
  • Inorganic Chemistry 219
Replace George S. Boyd with:
George S. Boyd United Kingdom
Mary E. Dempsey United States
Keith E. Suckling United Kingdom
Nicholas B. Myant United Kingdom
Kenneth D. Roberts Canada
Leon L. Miller United States
Henry Danielsson Sweden
Deborah Szalkowski United States
Ralph W. Stevenson United States
S.L. Hsia United States
G.S. Boyd relative to George S. Boyd United Kingdom George S. Boyd's profile →
Citations per field
00.5×2×2.8×
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 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1967205
2 1959176
3 1966111
4 1956109
5 1953104
6 197095
7 197388
8 197382
9 195678
10 198177
11
Changes in the plasma lipids during the menstrual cycle.
195375
12
Plasma lipid and serum lipoprotein patterns during pregnancy and puerperium.
195572
13 198370
14 196769
15 195567
16 196661
17 195459
18 196055
19 197654
20 197852

About G.S. Boyd

G.S. Boyd is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Inorganic Chemistry and Reproductive Medicine, having authored 99 papers that have together received 3k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (48 papers), Steroid Chemistry and Biochemistry (28 papers), Lipoproteins and Cardiovascular Health (15 papers), Thyroid Disorders and Treatments (10 papers), Adrenal Hormones and Disorders (8 papers), Estrogen and related hormone effects (8 papers), Metal-Catalyzed Oxygenation Mechanisms (8 papers) and Ovarian function and disorders (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (808 citations), Surgery (1.1k citations), Biochemistry (123 citations), Pharmacology (168 citations) and Inorganic Chemistry (219 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, Sorel Sulimovici, Colin R. E. Jefcoate, Keith E. Suckling, Robert Hume, Wiestaw Henryk Trzeciak, M. A. Eastwood, Oliver Mf and M. F. Oliver. Their work appears in journals such as FEBS Letters, Biochemical Society Transactions, Biochemical and Biophysical Research Communications, The Lancet and European Journal of Biochemistry.

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.

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