E J Mayer

980 total citations
8 papers, 850 citations indexed

About

E J Mayer is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, E J Mayer has authored 8 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Genetics and 2 papers in Surgery. Recurrent topics in E J Mayer's work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Genetic Associations and Epidemiology (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). E J Mayer is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Genetic Associations and Epidemiology (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). E J Mayer collaborates with scholars based in United States, Netherlands and Austria. E J Mayer's co-authors include Beth Newman, Joseph V. Selby, Ronald M. Krauss, Joe V. Selby, M A Austin, C. P. Quesenberry, Melissa A. Austin, Gary Friedman, Charles P. Quesenberry and Julie A. Marshall and has published in prestigious journals such as Circulation, American Journal of Clinical Nutrition and American Journal of Epidemiology.

In The Last Decade

E J Mayer

8 papers receiving 807 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E J Mayer United States	8	549	245	222	134	127	8	850
Jeannett Martin United Kingdom	14	455 0.8×	135 0.6×	138 0.6×	161 1.2×	110 0.9×	26	1.3k
S M Haffner United States	8	347 0.6×	174 0.7×	114 0.5×	228 1.7×	84 0.7×	9	840
K. L. Wearne Australia	10	539 1.0×	209 0.9×	122 0.5×	297 2.2×	106 0.8×	13	919
R.S. Elkeles United Kingdom	18	502 0.9×	120 0.5×	316 1.4×	251 1.9×	82 0.6×	55	1.1k
Jeannette Lee Singapore	21	298 0.5×	220 0.9×	137 0.6×	218 1.6×	241 1.9×	33	1.2k
Wannee Nitiyanant Thailand	15	574 1.0×	145 0.6×	124 0.6×	72 0.5×	100 0.8×	52	889
Alison Nankervis Australia	24	530 1.0×	208 0.8×	319 1.4×	99 0.7×	155 1.2×	73	1.4k
Roopa Mehta Mexico	19	570 1.0×	248 1.0×	222 1.0×	171 1.3×	109 0.9×	47	1.2k
Dan Streja United States	15	378 0.7×	157 0.6×	189 0.9×	143 1.1×	87 0.7×	34	794
H Wilkes United Kingdom	13	251 0.5×	176 0.7×	197 0.9×	359 2.7×	106 0.8×	16	1.3k

Countries citing papers authored by E J Mayer

Since Specialization

Citations

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

Fields of papers citing papers by E J Mayer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E J Mayer. 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 E J Mayer. The network helps show where E J Mayer may publish in the future.

Co-authorship network of co-authors of E J Mayer

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

All Works

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8 of 8 papers shown

Selby, Joe V., Melissa A. Austin, C. Sandholzer, et al.. (1994). Environmental and Behavioral Influences on Plasma Lipoprotein(a) Concentration in Women Twins. Preventive Medicine. 23(3). 345–353. 24 indexed citations

Edwards, Kimberley, M A Austin, Beth Newman, et al.. (1994). Multivariate analysis of the insulin resistance syndrome in women.. Arteriosclerosis and Thrombosis A Journal of Vascular Biology. 14(12). 1940–1945. 145 indexed citations

Austin, M A, Beth Newman, Joe V. Selby, et al.. (1993). Genetics of LDL subclass phenotypes in women twins. Concordance, heritability, and commingling analysis.. Arteriosclerosis and Thrombosis A Journal of Vascular Biology. 13(5). 687–695. 76 indexed citations

Mayer, E J, Beth Newman, Charles P. Quesenberry, Gary Friedman, & Joseph V. Selby. (1993). Alcohol consumption and insulin concentrations. Role of insulin in associations of alcohol intake with high-density lipoprotein cholesterol and triglycerides.. Circulation. 88(5). 2190–2197. 157 indexed citations

Selby, Joe V., Melissa A. Austin, Beth Newman, et al.. (1993). LDL subclass phenotypes and the insulin resistance syndrome in women.. Circulation. 88(2). 381–387. 216 indexed citations

Mayer, E J, Cecil M. Burchfiel, Robert H. Eckel, et al.. (1991). The role of insulin and body fat in associations of physical activity with lipids and lipoproteins in a biethnic population. The San Luis Valley Diabetes Study.. Arteriosclerosis and Thrombosis A Journal of Vascular Biology. 11(4). 973–984. 13 indexed citations

Mayer, E J, et al.. (1991). Physical-activity-assessment measures compared in a biethnic rural population: the San Luis Valley Diabetes Study. American Journal of Clinical Nutrition. 53(4). 812–820. 22 indexed citations

Hamman, Richard F., Julie A. Marshall, Judith Baxter, et al.. (1989). METHODS AND PREVALENCE OF NON-INSULIN-DEPENDENT DIABETES MELLITUS IN A BIETHNIC COLORADO POPULATION. American Journal of Epidemiology. 129(2). 295–311. 197 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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