G F Grinstead

486 citations
11 papers · 392 · h-index 9

Impact in

Papers in

    • Cholesterol and Lipid Metabolism 3
    • Lipoproteins and Cardiovascular Health 2
    • Steroid Chemistry and Biochemistry 2
    • Peroxisome Proliferator-Activated Receptors 1

G F Grinstead

10 papers receiving 364 citations

Peers

G F Grinstead
Comparison fields: 5 of 77
  • Toxicology 34
  • Endocrinology, Diabetes and Metabolism 84
  • Pharmacology 40
  • Clinical Biochemistry 27
  • Biochemistry 25
Replace H. Roger Brown with:
H. Roger Brown United States
Assumpta Carabaza Spain
AndréCrastes de Paulet France
Xiu-Lin Huang Japan
Moti Rosenstock Israel
Paulette Bournot France
Bindhu V. Karanam United States
J. Graessler Germany
Dwight D. Stiff United States
Amitava Dasgupta United States
G F Grinstead relative to H. Roger Brown United States H. Roger Brown's profile →
Citations per field
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Citations per year

Countries citing papers authored by G F Grinstead

Since Specialization
Citations

This map shows the geographic impact of G F Grinstead'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 F Grinstead with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G F Grinstead more than expected).

Fields of papers citing papers by G F Grinstead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G F Grinstead. 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 F Grinstead. The network helps show where G F Grinstead may publish in the future.

Co-authors

The 14 scholars most cited alongside G F Grinstead, 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 F Grinstead Line = papers co-authored together G F Grinstead links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1992146
2 198168
3 198356
4 199134
5 198231
6 198915
7 198814
8 198713
9 200112
10 19832
11 19881

About G F Grinstead

G F Grinstead is a scholar working on Surgery, Molecular Biology, Toxicology, Epidemiology and Pharmacology, having authored 11 papers that have together received 392 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Forensic Toxicology and Drug Analysis (2 papers), Cancer, Lipids, and Metabolism (2 papers), Steroid Chemistry and Biochemistry (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Toxicology (34 citations), Endocrinology, Diabetes and Metabolism (84 citations), Pharmacology (40 citations), Clinical Biochemistry (27 citations) and Biochemistry (25 citations). G F Grinstead has collaborated with scholars based in United States, India and Japan. Frequent co-authors include J.L. Gaylor, G. Russell Warnick, John D. Belcher, Nader Rifai, Ivan D. Frantz, Judith McNamara, H. Fukushima, J T Billheimer, Ralph D. Ellefson and Richard E. Scott. Their work appears in journals such as Clinical Chemistry, Journal of Biological Chemistry, American Journal of Ophthalmology, Journal of Analytical Toxicology and Journal of Liquid Chromatography.

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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