Eric D. Hamlett
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Extracellular vesicles in disease 4
- Neurology 10
- Neuroinflammation and Neurodegeneration Mechanisms 9
- Co-authors
- Ann‐Charlotte Granholm (13 shared papers)Aurélie Ledreux (9 shared papers)Mark W. Majesky (2 shared papers)Jenna N. Regan (2 shared papers)Andrew Leask (2 shared papers)Laurel Rodgers (2 shared papers)Arjun Deb (2 shared papers)Dianxin Liu (2 shared papers)
- Journals
- Alzheimer s & Dementia (2 papers)Journal of Clinical Medicine (2 papers)Molecular Neurodegeneration (2 papers)eLife (2 papers)Molecular Therapy (1 paper)
- Partner nations
- United StatesSwedenSpain
In The Last Decade
Eric D. Hamlett
31 papers receiving 827 citations
Peers
Comparison fields: 5 of 82
- Neurology 114
- Biological Psychiatry 19
- Molecular Biology 480
- Cancer Research 98
- Physiology 149
Countries citing papers authored by Eric D. Hamlett
This map shows the geographic impact of Eric D. Hamlett'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. Hamlett 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. Hamlett more than expected).
Fields of papers citing papers by Eric D. Hamlett
This network shows the impact of papers produced by Eric D. Hamlett. 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. Hamlett. The network helps show where Eric D. Hamlett may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric D. Hamlett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 252 | |
| 2 | 2016 | 95 | |
| 3 | 2017 | 64 | |
| 4 | 2019 | 57 | |
| 5 | 2015 | 55 | |
| 6 | 2015 | 36 | |
| 7 | 2015 | 32 | |
| 8 | 2020 | 25 | |
| 9 | 2022 | 20 | |
| 10 | 2022 | 20 | |
| 11 | 2020 | 19 | |
| 12 | 2012 | 15 | |
| 13 | 2021 | 15 | |
| 14 | 2013 | 13 | |
| 15 | 2014 | 13 | |
| 16 | 2019 | 12 | |
| 17 | 2022 | 12 | |
| 18 | 2019 | 11 | |
| 19 | 2007 | 10 | |
| 20 | 2012 | 9 |
About Eric D. Hamlett
Eric D. Hamlett is a scholar working on Molecular Biology, Neurology, Physiology, Spectroscopy and Public Health, Environmental and Occupational Health, having authored 32 papers that have together received 835 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Alzheimer's disease research and treatments (8 papers), Advanced Proteomics Techniques and Applications (5 papers), Down syndrome and intellectual disability research (4 papers), Extracellular vesicles in disease (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Intensive Care Unit Cognitive Disorders (2 papers). The work is most often cited by research in Neurology (114 citations), Biological Psychiatry (19 citations), Molecular Biology (480 citations), Cancer Research (98 citations) and Physiology (149 citations). Eric D. Hamlett has collaborated with scholars based in United States, Sweden and Spain. Frequent co-authors include Ann‐Charlotte Granholm, Aurélie Ledreux, Mark W. Majesky, Jenna N. Regan, Andrew Leask, Laurel Rodgers, Arjun Deb, Dianxin Liu, Costin M. Gherghe and Monte S. Willis. Their work appears in journals such as Alzheimer s & Dementia, Journal of Clinical Medicine, Molecular Neurodegeneration, eLife and Molecular Therapy.
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.