G.C. Buckley

982 total citations
10 papers, 772 citations indexed

About

G.C. Buckley is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, G.C. Buckley has authored 10 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 6 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Surgery. Recurrent topics in G.C. Buckley's work include Diet and metabolism studies (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Diet, Metabolism, and Disease (4 papers). G.C. Buckley is often cited by papers focused on Diet and metabolism studies (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Diet, Metabolism, and Disease (4 papers). G.C. Buckley collaborates with scholars based in Canada, Italy and Vietnam. G.C. Buckley's co-authors include Thomas M.S. Wolever, Robert G. Josse, Alexandra L. Jenkins, Vladimir Vuksan, David J.A. Jenkins, Stephen C. Cunnane, Robert L. Patten, Furio Brighenti, A. Venketeshwer Rao and Paul Corey and has published in prestigious journals such as New England Journal of Medicine, Diabetes Care and Clinica Chimica Acta.

In The Last Decade

G.C. Buckley

10 papers receiving 707 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
G.C. Buckley Canada	9	442	284	258	239	67	10	772
PT Williams United States	8	336 0.8×	293 1.0×	214 0.8×	140 0.6×	56 0.8×	9	713
Paul Foster Australia	9	735 1.7×	487 1.7×	186 0.7×	146 0.6×	64 1.0×	12	1.1k
P. Fábry Czechia	17	564 1.3×	259 0.9×	203 0.8×	131 0.5×	116 1.7×	60	1.0k
P Hlavatý Czechia	16	416 0.9×	273 1.0×	116 0.4×	179 0.7×	102 1.5×	30	720
Frederick J. Stare United States	11	290 0.7×	140 0.5×	89 0.3×	129 0.5×	58 0.9×	28	803
Inger Krog-Mikkelsen Denmark	9	382 0.9×	297 1.0×	143 0.6×	162 0.7×	33 0.5×	14	653
Mohamed el Lozy United States	11	200 0.5×	277 1.0×	91 0.4×	341 1.4×	71 1.1×	30	800
I Harper United States	8	306 0.7×	222 0.8×	222 0.9×	54 0.2×	70 1.0×	9	643
Rogelio U. Almario United States	15	224 0.5×	227 0.8×	219 0.8×	291 1.2×	126 1.9×	21	839
Katherine Steinbeck Australia	12	299 0.7×	297 1.0×	188 0.7×	154 0.6×	38 0.6×	17	649

Countries citing papers authored by G.C. Buckley

Since Specialization

Citations

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

Fields of papers citing papers by G.C. Buckley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G.C. Buckley

This figure shows the co-authorship network connecting the top 25 collaborators of G.C. Buckley. A scholar is included among the top collaborators of G.C. Buckley 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.C. Buckley. G.C. Buckley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Jenkins, David J.A., Alexandra L. Jenkins, Thomas M.S. Wolever, et al.. (1995). Effect of nibbling versus gorging on cardiovascular risk factors: Serum uric acid and blood lipids. Metabolism. 44(4). 549–555. 44 indexed citations

2.

Wolever, Thomas M.S., David Jenkins, Vladimir Vuksan, et al.. (1992). Beneficial Effect of a Low Glycaemic Index Diet in Type 2 Diabetes. Diabetic Medicine. 9(5). 451–458. 171 indexed citations

3.

Jenkins, David J.A., Thomas M.S. Wolever, Vladimir Vuksan, et al.. (1989). Nibbling versus Gorging: Metabolic Advantages of Increased Meal Frequency. New England Journal of Medicine. 321(14). 929–934. 358 indexed citations

4.

Jenkins, David J.A., Thomas M.S. Wolever, Gene A. Spiller, et al.. (1989). Hypocholesterolemic effect of vegetable protein in a hypocaloric diet. Atherosclerosis. 78(2-3). 99–107. 34 indexed citations

5.

Josse, Robert G., et al.. (1984). The Urine Anion Gap: The Critical Clue to Resolve a Diagnostic Dilemma in a Patient with Ketoacidosis. Diabetes Care. 7(5). 486–490. 9 indexed citations

6.

Little, J.A., et al.. (1970). Interrelationship between the kinds of dietary carbohydrate and fat in hyperlipoproteinemic patients. Atherosclerosis. 11(2). 173–181. 36 indexed citations

7.

Little, J.A., et al.. (1970). Interrelationship between the kinds of dietary carbohydrate and fat in hyperlipoproteinemic patients. Atherosclerosis. 11(2). 183–190. 25 indexed citations

8.

Antar, Mohamed A., J.A. Little, Christophe Lucas, G.C. Buckley, & A Csima. (1970). Interrelationship between the kinds of dietary carbohydrate and fat in hyperlipoproteinemic patients. Atherosclerosis. 11(2). 191–201. 72 indexed citations

9.

Sullivan, Katie, et al.. (1969). A comparison of laboratory screening procedures for hyperlipidemia. Clinica Chimica Acta. 23(1). 53–62. 7 indexed citations

10.

Buckley, G.C., et al.. (1966). Serum triglyceride: method of estimation and levels in normal humans.. PubMed. 94(17). 886–8. 16 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.

Explore authors with similar magnitude of impact