G. Russell Warnick

11.4k total citations · 3 hit papers
88 papers, 9.5k citations indexed

About

G. Russell Warnick is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cancer Research. According to data from OpenAlex, G. Russell Warnick has authored 88 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Surgery, 59 papers in Endocrinology, Diabetes and Metabolism and 18 papers in Cancer Research. Recurrent topics in G. Russell Warnick's work include Lipoproteins and Cardiovascular Health (56 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (53 papers) and Cancer, Lipids, and Metabolism (15 papers). G. Russell Warnick is often cited by papers focused on Lipoproteins and Cardiovascular Health (56 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (53 papers) and Cancer, Lipids, and Metabolism (15 papers). G. Russell Warnick collaborates with scholars based in United States, Japan and Germany. G. Russell Warnick's co-authors include J J Albers, Nader Rifai, Robert H. Knopp, John J. Albers, Matthias Nauck, William R. Hazzard, T. T. Nguyen, Virginia Fitzpatrick, Marek H Dominiczak and Marian C. Cheung and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Gastroenterology.

In The Last Decade

G. Russell Warnick

87 papers receiving 9.0k citations

Hit Papers

Dextran sulfate-Mg2+ precipitation procedure for quantita... 1978 2026 1994 2010 1982 1978 1985 500 1000 1.5k 2.0k

Peers

G. Russell Warnick
John D. Brunzell United States
Muriel Caslake United Kingdom
Peter O. Kwiterovich United States
N.E. Miller United Kingdom
James D. Best Australia
Sander J. Robins United States
Gloria Lena Vega United States
D. J. Betteridge United Kingdom
G. Russell Warnick
Citations per year, relative to G. Russell Warnick G. Russell Warnick (= 1×) peers Jiří Fröhlich

Countries citing papers authored by G. Russell Warnick

Since Specialization
Citations

This map shows the geographic impact of G. Russell 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. Russell 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. Russell Warnick more than expected).

Fields of papers citing papers by G. Russell Warnick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Russell Warnick

This figure shows the co-authorship network connecting the top 25 collaborators of G. Russell Warnick. A scholar is included among the top collaborators of G. Russell Warnick based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Russell Warnick. G. Russell Warnick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
McConnell, Joseph P., et al.. (2014). Lipoprotein(a) mass: A massively misunderstood metric. Journal of clinical lipidology. 8(6). 550–553. 43 indexed citations
2.
Varvel, Stephen A., Szilárd Vörös, Dawn L. Thiselton, et al.. (2014). Comprehensive Biomarker Testing of Glycemia, Insulin Resistance, and Beta Cell Function Has Greater Sensitivity to Detect Diabetes Risk Than Fasting Glucose and HbA1c and Is Associated with Improved Glycemic Control in Clinical Practice. Journal of Cardiovascular Translational Research. 7(6). 597–606. 13 indexed citations
3.
Dayspring, Thomas, et al.. (2014). Validation of a lipoprotein(a) particle concentration assay by quantitative lipoprotein immunofixation electrophoresis. Clinica Chimica Acta. 439. 219–224. 19 indexed citations
4.
Vörös, Szilárd, Pál Maurovich‐Horvat, Aruna T. Bansal, et al.. (2014). Precision phenotyping, panomics, and system-level bioinformatics to delineate complex biologies of atherosclerosis: Rationale and design of the “Genetic Loci and the Burden of Atherosclerotic Lesions” study. Journal of cardiovascular computed tomography. 8(6). 442–451. 15 indexed citations
5.
Harris, William S., James V. Pottala, Dawn L. Thiselton, et al.. (2014). Does APOE Genotype Modify the Relations Between Serum Lipid and Erythrocyte Omega-3 Fatty Acid Levels?. Journal of Cardiovascular Translational Research. 7(5). 526–32. 7 indexed citations
6.
Ashmaig, Mohmed, et al.. (2013). Validation of a novel homogeneous assay for of HDL3-C measurement. Clinica Chimica Acta. 425. 37–41. 8 indexed citations
7.
Deventer, Hendrick E. van, Lorin M Bachmann, G. Russell Warnick, et al.. (2013). Evaluation of four different equations for calculating LDL-C with eight different direct HDL-C assays. Clinica Chimica Acta. 423. 135–140. 44 indexed citations
8.
Nakajima, Katsuyuki, Takamitsu Nakano, Takeaki Nagamine, et al.. (2009). The correlation between TG vs remnant lipoproteins in the fasting and postprandial plasma of 23 volunteers. Clinica Chimica Acta. 404(2). 124–127. 30 indexed citations
9.
Remaley, Alan T. & G. Russell Warnick. (2008). High-density lipoprotein: what is the best way to measure its antiatherogenic potential?. Expert Opinion on Medical Diagnostics. 2(7). 773–788. 7 indexed citations
10.
Baca, Arthur M. & G. Russell Warnick. (2008). Estimation of LDL-Associated Apolipoprotein B from Measurements of Triglycerides and Total Apolipoprotein B. Clinical Chemistry. 54(5). 907–910. 6 indexed citations
11.
Warnick, G. Russell, et al.. (2006). Polyacrylamide Gradient Gel Electrophoresis of Lipoprotein Subclasses. Clinics in Laboratory Medicine. 26(4). 803–846. 35 indexed citations
12.
Lanman, Richard B., Robert L. Wolfert, James K. Fleming, et al.. (2006). Lipoprotein‐Associated Phospholipase A2: Review and Recommendation of a Clinical Cut Point for Adults. Preventive Cardiology. 9(3). 138–143. 40 indexed citations
13.
McNamara, Judith, G. Russell Warnick, & Gerald R. Cooper. (2006). A brief history of lipid and lipoprotein measurements and their contribution to clinical chemistry. Clinica Chimica Acta. 369(2). 158–167. 22 indexed citations
14.
Sarno, Manoel, David J. Baylink, Barbara L. Drinkwater, et al.. (2001). Excretion of Sweat and Urine Pyridinoline Crosslinks in Healthy Controls and Subjects with Established Metabolic Bone Disease. Clinical Chemistry and Laboratory Medicine (CCLM). 39(3). 223–8. 6 indexed citations
15.
Warnick, G. Russell & Alan T. Remaley. (2001). Measurement of cholesterol in plasma and other body fluids. Current Atherosclerosis Reports. 3(5). 404–411. 17 indexed citations
16.
McNamara, Judith, et al.. (1996). Multicenter Evaluation of a Patient-Administered Test for Blood Cholesterol Measurement. Preventive Medicine. 25(5). 583–592. 4 indexed citations
17.
Warnick, G. Russell. (1994). Capabilities of compact analyzers for decentralized testing of lipids and lipoproteins. Atherosclerosis. 108. S171–S179. 3 indexed citations
18.
Knopp, Robert H., et al.. (1987). Effect of fenofibrate treatment on plasma lipoprotein lipids, high-density lipoprotein cholesterol subfractions, and apolipoproteins B, AI, AII, and E. The American Journal of Medicine. 83(5). 75–84. 31 indexed citations
19.
Warnick, G. Russell. (1986). Enzymatic methods for quantification of lipoprotein lipids. Methods in enzymology on CD-ROM/Methods in enzymology. 129. 101–123. 357 indexed citations
20.
Warnick, G. Russell, et al.. (1983). Interlaboratory proficiency survey of high-density lipoprotein cholesterol measurement.. PubMed. 29(3). 516–9. 14 indexed citations

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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