Debra Graham

16 papers receiving 661 citations

Peers

Debra Graham
Comparison fields: 5 of 68
  • Biochemistry 85
  • Endocrinology, Diabetes and Metabolism 195
  • Cancer Research 115
  • Cardiology and Cardiovascular Medicine 157
  • Surgery 280
Replace Sheng Jiao with:
Sheng Jiao China
D. Pastier France
S I Skarlatos United States
W. Alexander Mann Germany
Patti Polinsky United States
Ferdinand van’t Hooft Sweden
Yumiko Nakagawa-Toyama Japan
Andrew K. Gormley United States
B Kishino Japan
Yasutaka Ota Japan
Debra Graham relative to Sheng Jiao China Sheng Jiao's profile →
Citations per field
00.5×1.6×
Sheng Jiao · 1×
Citations per year

Countries citing papers authored by Debra Graham

Since Specialization
Citations

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

Fields of papers citing papers by Debra Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Debra Graham, 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 Debra Graham Line = papers co-authored together Debra Graham links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1987186
2 1992129
3 199187
4 199167
5
Oleate-mediated Stimulation of Apolipoprotein B Secretion from Rat Hepatoma Cells
199252
6
Mechanisms of oxygen free radical-induced calcium overload in endothelial cells.
199049
7 198845
8 199131
9 19909
10 19895
11 19904
12
The effect of estrogen on low-density lipoprotein binding kinetics in aortic endothelial cells.
19893
13
Screening a lamprey liver cDNA library with oligonucleotide probes based on various plasma proteins
19852
14 19892
15 19922
16 19891

About Debra Graham

Debra Graham is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Immunology and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 674 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Cancer, Lipids, and Metabolism (1 paper), Bacteriophages and microbial interactions (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Vitamin C and Antioxidants Research (1 paper). The work is most often cited by research in Biochemistry (85 citations), Endocrinology, Diabetes and Metabolism (195 citations), Cancer Research (115 citations), Cardiology and Cardiovascular Medicine (157 citations) and Surgery (280 citations). Debra Graham has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include John F. Oram, J. Jeffrey Alexander, Richard J. Pease, Ann L. White, Dido Franceschi, Jenny Scott, Zollinger Rm, Timothy J. Knott, James Scott and Clive R. Pullinger. Their work appears in journals such as Journal of Surgical Research, Journal of Vascular Surgery, Journal of Biological Chemistry, Biochemistry and The American Journal of Surgery.

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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