Andrea E. DeBarber

2.6k citations
49 papers · 1.8k indexed · h-index 23

Impact in

Papers in

Andrea E. DeBarber

48 papers receiving 1.8k citations

Peers

Andrea E. DeBarber
Comparison fields: 5 of 103
  • Biochemistry 301
  • Endocrinology, Diabetes and Metabolism 372
  • Infectious Diseases 244
  • Pharmacology 114
  • Molecular Biology 777
Replace M. Pilar Lostao with:
M. Pilar Lostao Spain
Virendar K. Kaushik United States
Chutima Srimaroeng Thailand
Elisabeth Teissier France
Huan Huang United States
Nozomu Kono Japan
Ingrid C. Gelissen Australia
Alan Bohrer United States
Galina Polekhina Australia
Tomoji Maeda Japan
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Citations per field
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Citations per year

Countries citing papers authored by Andrea E. DeBarber

Since Specialization
Citations

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

Fields of papers citing papers by Andrea E. DeBarber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20230
4 20235
5 20227
6 202131
7 202111
8 202021
9 201812
10 201823
11 201885
12 201712
13 201725
14 201615
15 20118
16 201033
17 20097
18 200845
19 2007107
20 200430

About Andrea E. DeBarber

Andrea E. DeBarber is a scholar working on Oncology, Clinical Biochemistry, Surgery, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 49 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (24 papers), Drug Transport and Resistance Mechanisms (17 papers), Hormonal Regulation and Hypertension (5 papers), Steroid Chemistry and Biochemistry (4 papers), Metabolism and Genetic Disorders (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Pediatric Hepatobiliary Diseases and Treatments (3 papers). The work is most often cited by research in Biochemistry (301 citations), Endocrinology, Diabetes and Metabolism (372 citations), Infectious Diseases (244 citations), Pharmacology (114 citations) and Molecular Biology (777 citations). Andrea E. DeBarber has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Robert D. Steiner, Clifton E. Barry, Louise S. Merkens, Dennis R. Koop, Khisimuzi Mdluli, M Bosman, Linda‐Gail Bekker, Thomas S. Scanlan, Nabil J. Alkayed and Anuradha S. Pappu. Their work appears in journals such as Journal of Lipid Research, Journal of clinical lipidology, Genetics in Medicine, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and JAMA Ophthalmology.

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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