E. Shrago

1.7k citations
48 papers · 1.4k indexed · h-index 22

E. Shrago

48 papers receiving 1.3k citations

Peers

E. Shrago
Comparison fields: 5 of 94
  • Clinical Biochemistry 366
  • Physiology 520
  • Biochemistry 119
  • Cell Biology 209
  • Molecular Biology 769
Replace E.Jack Davis with:
E.Jack Davis United States
S.V. Pande Canada
M A Titheradge United Kingdom
Gebretateos Woldegiorgis United States
Tetsuji Etoh Japan
Yasuo Wakabayashi Japan
Norman R. Marquis United States
Enrique Piña Mexico
David W. Allmann United States
Gerda Bruder Germany
E. Shrago relative to E.Jack Davis United States E.Jack Davis's profile →
Citations per field
00.5×1.6×
E.Jack Davis · 1×
Citations per year

Countries citing papers authored by E. Shrago

Since Specialization
Citations

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

Fields of papers citing papers by E. Shrago

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199532
2
Receptor and postreceptor effects of free fatty acids (FFA) on hepatocyte insulin dynamics.
199077
3 199019
4 198916
5 198953
6 198910
7 198824
8 19888
9
Effect of carnitine and medium chain triglyceride supplementation on tissue carnitine levels in newborn piglets
19852
10 198322
11 198324
12 19821
13 198135
14 19774
15 197628
16
A proposed mechanism for fatty acid effects on energy metabolism of the heart.
197347
17 19721
18 196612
19 196425
20 19632

About E. Shrago

E. Shrago is a scholar working on Clinical Biochemistry, Cell Biology, Physiology, Biochemistry and Nutrition and Dietetics, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (14 papers), Muscle metabolism and nutrition (13 papers), Adipose Tissue and Metabolism (12 papers), Mitochondrial Function and Pathology (9 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Diet and metabolism studies (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Fatty Acid Research and Health (4 papers). The work is most often cited by research in Clinical Biochemistry (366 citations), Physiology (520 citations), Biochemistry (119 citations), Cell Biology (209 citations) and Molecular Biology (769 citations). E. Shrago has collaborated with scholars based in United States and Belgium. Frequent co-authors include Gebretateos Woldegiorgis, Terry Spennetta, Neville Bittar, Charles E. Elson, Paul J. Strieleman, Ellen R. Gordon, A. L. Shug, Balvin H.L. Chua, Magda M.I. Hennes and Ahmed H. Kissebah. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Clinical Nutrition, American Journal of Physiology-Endocrinology and Metabolism, FEBS Letters and Annual Review of Biochemistry.

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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