Grace Gordon
Impact in
- Physiology top 2%
- Alzheimer's disease research and treatments
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Heat shock proteins research 2
- Prion Diseases and Protein Misfolding 2
- RNA Interference and Gene Delivery 2
- Inflammasome and immune disorders 1
-
- Alzheimer's disease research and treatments 3
- Co-authors
- Peter Seubert (2 shared papers)Lisa McConlogue (2 shared papers)Robin Barbour (2 shared papers)Anja Leona Biere (1 shared paper)Martin Citron (1 shared paper)Dennis J. Selkoe (1 shared paper)Thekla S. Diehl (1 shared paper)Karen Khan (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Immunology Letters (1 paper)Journal of Neuropathology & Experimental Neurology (1 paper)Journal of Biological Chemistry (1 paper)The Lancet (1 paper)
- Partner nations
- United StatesSwitzerlandNetherlands
In The Last Decade
Grace Gordon
8 papers receiving 1.3k citations
Grace Gordon's Hit Papers
Peers
Comparison fields: 5 of 80
- Physiology 802
- Neurology 165
- Biological Psychiatry 39
- Pharmacology 205
- Cellular and Molecular Neuroscience 217
Countries citing papers authored by Grace Gordon
This map shows the geographic impact of Grace Gordon'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 Grace Gordon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace Gordon more than expected).
Fields of papers citing papers by Grace Gordon
This network shows the impact of papers produced by Grace Gordon. 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 Grace Gordon. The network helps show where Grace Gordon may publish in the future.
Co-authors
The 25 scholars most cited alongside Grace Gordon, 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 | Amyloid precursor protein processing and Aβ 42 deposition in a transgenic mouse model of Alzheimer disease Hit paper breakdown → | 1997 | 566 |
| 2 | 1996 | 252 | |
| 3 | 2005 | 147 | |
| 4 | 2006 | 134 | |
| 5 | 2003 | 110 | |
| 6 | 2003 | 89 | |
| 7 | 2001 | 2 | |
| 8 | 2008 | 1 |
About Grace Gordon
Grace Gordon is a scholar working on Molecular Biology, Physiology, Oncology, Immunology and Pathology and Forensic Medicine, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Heat shock proteins research (2 papers), Prion Diseases and Protein Misfolding (2 papers), Drug Transport and Resistance Mechanisms (2 papers), RNA Interference and Gene Delivery (2 papers), Inflammasome and immune disorders (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper) and Multiple Sclerosis Research Studies (1 paper). The work is most often cited by research in Physiology (802 citations), Neurology (165 citations), Biological Psychiatry (39 citations), Pharmacology (205 citations) and Cellular and Molecular Neuroscience (217 citations). Grace Gordon has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Peter Seubert, Lisa McConlogue, Robin Barbour, Anja Leona Biere, Martin Citron, Dennis J. Selkoe, Thekla S. Diehl, Karen Khan, Hua Tan and Ivan Lieberburg. Their work appears in journals such as Proceedings of the National Academy of Sciences, Immunology Letters, Journal of Neuropathology & Experimental Neurology, Journal of Biological Chemistry and The Lancet.
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.