Debra Burdick
Impact in
- Physiology top 2%
- Alzheimer's disease research and treatments
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Alzheimer's disease research and treatments 5
- Co-authors
- Mary F. Knauer (3 shared papers)Joseph V. Kosmoski (2 shared papers)Charles Glabe (4 shared papers)Carl W. Cotman (2 shared papers)Brian Soreghan (1 shared paper)Min‐Sung Kwon (1 shared paper)John R. Yates (1 shared paper)C.G. Glabe (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Assay and Drug Development Technologies (1 paper)Experimental Neurology (1 paper)The Journal of Immunology (1 paper)Brain Research (1 paper)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
Debra Burdick
9 papers receiving 1.5k citations
Debra Burdick's Hit Papers
Peers
Comparison fields: 5 of 92
- Physiology 1.2k
- Neurology 293
- Biological Psychiatry 58
- Computational Theory and Mathematics 227
- Pharmacology 243
Countries citing papers authored by Debra Burdick
This map shows the geographic impact of Debra Burdick'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 Burdick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debra Burdick more than expected).
Fields of papers citing papers by Debra Burdick
This network shows the impact of papers produced by Debra Burdick. 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 Burdick. The network helps show where Debra Burdick may publish in the future.
Co-authors
The 25 scholars most cited alongside Debra Burdick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Assembly and aggregation properties of synthetic Alzheimer's A4/beta amyloid peptide analogs. Hit paper breakdown → | 1992 | 860 |
| 2 | 1994 | 282 | |
| 3 | 1995 | 117 | |
| 4 | 1997 | 103 | |
| 5 | 2003 | 58 | |
| 6 | 1995 | 44 | |
| 7 | 2004 | 30 | |
| 8 | 2011 | 8 | |
| 9 | 1996 | 3 | |
| 10 | 2008 | 2 |
About Debra Burdick
Debra Burdick is a scholar working on Physiology, Molecular Biology, Cardiology and Cardiovascular Medicine, Hematology and Pharmacology, having authored 10 papers that have together received 1.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Atrial Fibrillation Management and Outcomes (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Cell Image Analysis Techniques (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and Supramolecular Self-Assembly in Materials (1 paper). The work is most often cited by research in Physiology (1.2k citations), Neurology (293 citations), Biological Psychiatry (58 citations), Computational Theory and Mathematics (227 citations) and Pharmacology (243 citations). Debra Burdick has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Mary F. Knauer, Joseph V. Kosmoski, Charles Glabe, Carl W. Cotman, Brian Soreghan, Min‐Sung Kwon, John R. Yates, C.G. Glabe, Agnes Henschen and Andrea J. Tenner. Their work appears in journals such as Journal of Biological Chemistry, Assay and Drug Development Technologies, Experimental Neurology, The Journal of Immunology and Brain Research.
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.