Eric D. Agdeppa
Impact in
- Physiology top 2%
- Alzheimer's disease research and treatments
- Psychiatry and Mental health top 2%
- Dementia and Cognitive Impairment Research
Papers in
-
- Medical Imaging Techniques and Applications 4
- Radiomics and Machine Learning in Medical Imaging 1
-
- Alzheimer's disease research and treatments 5
- Co-authors
- Nagichettiar Satyamurthy (6 shared papers)Vladimir Kepe (6 shared papers)Jorge R. Barrio (6 shared papers)Sung‐Cheng Huang (3 shared papers)Andrej Petrič (4 shared papers)Gary W. Small (3 shared papers)Kooresh I. Shoghi (2 shared papers)Gary W. Small (2 shared papers)
- Journals
- Molecular Imaging and Biology (2 papers)Journal of Molecular Neuroscience (1 paper)Neuroscience (1 paper)Proceedings of the National Academy of Sciences (1 paper)The AAPS Journal (1 paper)
- Partner nations
- United StatesSloveniaSpain
In The Last Decade
Eric D. Agdeppa
13 papers receiving 1.4k citations
Eric D. Agdeppa's Hit Papers
Peers
Comparison fields: 5 of 94
- Physiology 921
- Psychiatry and Mental health 416
- Biological Psychiatry 40
- Neurology 124
- Radiology, Nuclear Medicine and Imaging 308
Countries citing papers authored by Eric D. Agdeppa
This map shows the geographic impact of Eric D. Agdeppa'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 Eric D. Agdeppa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric D. Agdeppa more than expected).
Fields of papers citing papers by Eric D. Agdeppa
This network shows the impact of papers produced by Eric D. Agdeppa. 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 Eric D. Agdeppa. The network helps show where Eric D. Agdeppa may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric D. Agdeppa, 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 | Localization of Neurofibrillary Tangles and Beta-Amyloid Plaques in the Brains of Living Patients With Alzheimer Disease Hit paper breakdown → | 2002 | 641 |
| 2 | 2001 | 365 | |
| 3 | 2003 | 159 | |
| 4 | 2003 | 90 | |
| 5 | 2009 | 72 | |
| 6 | 2002 | 44 | |
| 7 | 2012 | 38 | |
| 8 | 2021 | 25 | |
| 9 | 2007 | 10 | |
| 10 | 2004 | 9 | |
| 11 | 2001 | 8 | |
| 12 | Rational Design for Peptide Drugs | 2006 | 4 |
| 13 | 2020 | 2 |
About Eric D. Agdeppa
Eric D. Agdeppa is a scholar working on Radiology, Nuclear Medicine and Imaging, Physiology, Computational Theory and Mathematics, Surgery and Molecular Biology, having authored 13 papers that have together received 1.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Medical Imaging Techniques and Applications (4 papers), Computational Drug Discovery Methods (4 papers), Hemodynamic Monitoring and Therapy (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Non-Invasive Vital Sign Monitoring (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Molecular spectroscopy and chirality (1 paper). The work is most often cited by research in Physiology (921 citations), Psychiatry and Mental health (416 citations), Biological Psychiatry (40 citations), Neurology (124 citations) and Radiology, Nuclear Medicine and Imaging (308 citations). Eric D. Agdeppa has collaborated with scholars based in United States, Slovenia and Spain. Frequent co-authors include Nagichettiar Satyamurthy, Vladimir Kepe, Jorge R. Barrio, Sung‐Cheng Huang, Andrej Petrič, Gary W. Small, Kooresh I. Shoghi, Gary W. Small, Stephen Read and Linda M. Ercoli. Their work appears in journals such as Molecular Imaging and Biology, Journal of Molecular Neuroscience, Neuroscience, Proceedings of the National Academy of Sciences and The AAPS Journal.
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.