G R Warnick

775 citations
11 papers · 623 · h-index 9

Impact in

Papers in

G R Warnick

11 papers receiving 578 citations

Peers

G R Warnick
Comparison fields: 5 of 91
  • Endocrinology, Diabetes and Metabolism 321
  • Cancer Research 103
  • Surgery 225
  • Cardiology and Cardiovascular Medicine 102
  • Biochemistry 15
Replace P.M.J. Stuyt with:
P.M.J. Stuyt Netherlands
Graeme W. Tait United Kingdom
Amir F. Ayyobi Canada
J Coltart United Kingdom
E Florentin France
M Dobiášová Czechia
James T. Ogilvie United States
Karim El Harchaoui Netherlands
J Patsch Austria
Elisa Campos United States
G R Warnick relative to P.M.J. Stuyt Netherlands P.M.J. Stuyt's profile →
Citations per field
00.5×
P.M.J. Stuyt · 1×
Citations per year

Countries citing papers authored by G R Warnick

Since Specialization
Citations

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

Fields of papers citing papers by G R Warnick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G R Warnick, 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 R Warnick Line = papers co-authored together G R Warnick links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1979228
2 1995168
3 198181
4 198960
5 200025
6
Cholesterol in fingerstick capillary specimens can be equivalent to conventional venous measurements.
199419
7 198612
8
Multicenter evaluation of Reflotron direct dry-chemistry assay of high-density lipoprotein cholesterol in venous and fingerstick specimens.
199312
9 199310
10 19905
11 19863

About G R Warnick

G R Warnick is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cancer Research, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 11 papers that have together received 623 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Cancer, Lipids, and Metabolism (4 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Menopause: Health Impacts and Treatments (1 paper), Lipid metabolism and disorders (1 paper), Hormonal and reproductive studies (1 paper) and Acute Myocardial Infarction Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (321 citations), Cancer Research (103 citations), Surgery (225 citations), Cardiology and Cardiovascular Medicine (102 citations) and Biochemistry (15 citations). G R Warnick has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include P D Wood, J J Albers, W R Hazzard, C. I. Mayfield, Lily Wu, J.-M. Lalouel, R R Williams, Robert H. Knopp, Joanne Hoover and William R. Hazzard. Their work appears in journals such as Clinical Chemistry, Diabetes Care, Clinical Chemistry and Laboratory Medicine (CCLM), Current Opinion in Lipidology and The Journal of Clinical Endocrinology & Metabolism.

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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