Chris Eckman
- Physiology top 0.1%
- Alzheimer's disease research and treatments 12
- Neurology top 0.2%
- Biological Psychiatry top 0.5%
- Cellular and Molecular Neuroscience top 0.5%
- Nuclear Receptors and Signaling 5
- Pharmacology top 0.2%
- Cholinesterase and Neurodegenerative Diseases 3
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- Prion Diseases and Protein Misfolding 2
- S100 Proteins and Annexins 2
- Bioinformatics and Genomic Networks 2
- Genomics and Chromatin Dynamics 2
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- Computational Drug Discovery Methods 2
- Co-authors
- Karen HsiaoYasuo HarigayaSteven G. YounkinFusheng YangGreg M. ColePaul F. ChapmanSteven P. NilsenJohn Hardy
- Partner nations
- United StatesSwedenGermany
In The Last Decade
Chris Eckman
13 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Physiology 6.7k
- Neurology 1.7k
- Biological Psychiatry 439
- Cellular and Molecular Neuroscience 2.2k
- Pharmacology 1.8k
Countries citing papers authored by Chris Eckman
This map shows the geographic impact of Chris Eckman'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 Chris Eckman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Eckman more than expected).
Fields of papers citing papers by Chris Eckman
This network shows the impact of papers produced by Chris Eckman. 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 Chris Eckman. The network helps show where Chris Eckman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chris Eckman, 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 | Plasma Orbital Expansion of the Electrons in Water | 2010 | 9 |
| 2 | 2005 | 207 | |
| 3 | 2005 | 68 | |
| 4 | 2004 | 2 | |
| 5 | Enhanced Neurofibrillary Degeneration in Transgenic Mice Expressing Mutant Tau and APPbreakdown → | 2001 | 1203 |
| 6 | 1999 | 334 | |
| 7 | 1999 | 40 | |
| 8 | 1998 | 13 | |
| 9 | Accelerated Alzheimer-type phenotype in transgenic mice carrying both mutant amyloid precursor protein and presenilin 1 transgenesbreakdown → | 1998 | 1088 |
| 10 | 1997 | 169 | |
| 11 | 1997 | 168 | |
| 12 | Increased amyloid-β42(43) in brains of mice expressing mutant presenilin 1breakdown → | 1996 | 1176 |
| 13 | Correlative Memory Deficits, Aβ Elevation, and Amyloid Plaques in Transgenic Micebreakdown → | 1996 | 3504 |
About Chris Eckman
Chris Eckman is a scholar working on Physiology, Biological Psychiatry and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 8.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (12 papers), Nuclear Receptors and Signaling (5 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Prion Diseases and Protein Misfolding (2 papers), Computational Drug Discovery Methods (2 papers), S100 Proteins and Annexins (2 papers), Bioinformatics and Genomic Networks (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Physiology (6.7k citations), Neurology (1.7k citations) and Biological Psychiatry (439 citations). Chris Eckman has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Karen Hsiao, Yasuo Harigaya, Steven G. Younkin, Fusheng Yang, Greg M. Cole, Paul F. Chapman, Steven P. Nilsen, John Hardy, Debra Yager and Mike Hutton. Their work appears in journals such as Science, Neurobiology of Aging, Nature Medicine, Journal of Neuroscience and Human Molecular Genetics.
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.