EJ Schaefer

894 total citations
10 papers, 739 citations indexed

About

EJ Schaefer is a scholar working on Public Health, Environmental and Occupational Health, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, EJ Schaefer has authored 10 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Public Health, Environmental and Occupational Health, 5 papers in Surgery and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in EJ Schaefer's work include Nutritional Studies and Diet (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Lipoproteins and Cardiovascular Health (4 papers). EJ Schaefer is often cited by papers focused on Nutritional Studies and Diet (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Lipoproteins and Cardiovascular Health (4 papers). EJ Schaefer collaborates with scholars based in United States, Taiwan and Netherlands. EJ Schaefer's co-authors include José M. Ordovás, Stefania Lamon‐Fava, RE Gregg, H. Bryan Brewer, Karina W. Davidson, Peter W. Wilson, Silke Vogel, Katherine L. Tucker, BA Clevidence and Martin G. Larson and has published in prestigious journals such as American Journal of Clinical Nutrition, Journal of Lipid Research and European Journal of Clinical Nutrition.

In The Last Decade

EJ Schaefer

10 papers receiving 697 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
EJ Schaefer United States 10 327 249 245 133 131 10 739
Hideki Shige Japan 16 247 0.8× 167 0.7× 268 1.1× 243 1.8× 84 0.6× 27 769
H B Brewer United States 5 319 1.0× 280 1.1× 132 0.5× 96 0.7× 69 0.5× 6 616
Yoshiya HATA Japan 15 215 0.7× 311 1.2× 127 0.5× 106 0.8× 44 0.3× 35 692
Atsushi Yonemura Japan 18 119 0.4× 193 0.8× 93 0.4× 140 1.1× 81 0.6× 24 955
Anik Girard-Globa France 20 359 1.1× 330 1.3× 127 0.5× 130 1.0× 27 0.2× 54 936
T. T. Nguyen United States 8 349 1.1× 202 0.8× 68 0.3× 110 0.8× 48 0.4× 10 603
Olfa Helal France 13 154 0.5× 189 0.8× 168 0.7× 268 2.0× 220 1.7× 17 876
C. Thevenon France 13 111 0.3× 152 0.6× 262 1.1× 126 0.9× 79 0.6× 17 634
L.M. Scheek Netherlands 19 429 1.3× 359 1.4× 73 0.3× 126 0.9× 29 0.2× 24 887
Helvi M. Vidgren Finland 12 191 0.6× 134 0.5× 410 1.7× 56 0.4× 90 0.7× 14 674

Countries citing papers authored by EJ Schaefer

Since Specialization
Citations

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

Fields of papers citing papers by EJ Schaefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by EJ Schaefer. 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 EJ Schaefer. The network helps show where EJ Schaefer may publish in the future.

Co-authorship network of co-authors of EJ Schaefer

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

All Works

10 of 10 papers shown
1.
Larson, Martin G., et al.. (1999). A common truncation variant of lipoprotein lipase (Ser447X) confers protection against coronary heart disease: the Framingham Offspring Study. Clinical Genetics. 55(6). 450–454. 102 indexed citations
2.
Lamon‐Fava, Stefania, et al.. (1998). Plasma lipoproteins as carriers of phylloquinone (vitamin K1) in humans. American Journal of Clinical Nutrition. 67(6). 1226–1231. 103 indexed citations
3.
Sarkkinen, ES, et al.. (1998). The effect of quality and amount of dietary fat on the susceptibility of low density lipoprotein to oxidation in subjects with impaired glucose tolerance. European Journal of Clinical Nutrition. 52(6). 452–458. 16 indexed citations
4.
Schaefer, EJ, Stefania Lamon‐Fava, José M. Ordovás, et al.. (1997). Individual variability in lipoprotein cholesterol response to National Cholesterol Education Program Step 2 diets. American Journal of Clinical Nutrition. 65(3). 823–830. 132 indexed citations
5.
Vogel, Silke, et al.. (1997). Plasma retinol and plasma and lipoprotein tocopherol and carotenoid concentrations in healthy elderly participants of the Framingham Heart Study. American Journal of Clinical Nutrition. 66(4). 950–958. 85 indexed citations
7.
Schaefer, EJ, et al.. (1995). Lipoproteins, nutrition, aging, and atherosclerosis. American Journal of Clinical Nutrition. 61(3). 726S–740S. 81 indexed citations
8.
Ordovás, José M., Johanna Dwyer, L. Adrienne Cupples, et al.. (1994). Relationship between dietary intake, lipoproteins, and apolipoproteins in Taipei and Framingham. American Journal of Clinical Nutrition. 60(5). 765–774. 15 indexed citations
9.
Hachey, DL, et al.. (1992). Measurement of human apolipoprotein B-48 and B-100 kinetics in triglyceride-rich lipoproteins using [5,5,5-2H3]leucine.. Journal of Lipid Research. 33(6). 907–914. 62 indexed citations
10.
Gregg, RE, et al.. (1984). Apolipoprotein E metabolism in normolipoproteinemic human subjects.. Journal of Lipid Research. 25(11). 1167–1176. 79 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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