Marcia N. Gordon
- Neurology top 0.02%
- Neuroinflammation and Neurodegeneration Mechanisms 53
- Biological Psychiatry top 0.1%
- Tryptophan and brain disorders 11
- Physiology top 0.02%
- Alzheimer's disease research and treatments 88
- Cellular and Molecular Neuroscience top 0.2%
- Neuroscience and Neuropharmacology Research 13
- Nuclear Receptors and Signaling 10
- Developmental Neuroscience top 0.5%
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- Cholinesterase and Neurodegenerative Diseases 17
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- Prion Diseases and Protein Misfolding 14
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- Computational Drug Discovery Methods 9
- Co-authors
- Dave MorganChad A. DickeyDaniel C. LeeMaj-Linda B. SelenicaMilene L. BrownlowGabriela PeñaJeffy P. JimenezDonna M. Wilcock
- Journals
- Nature (2 papers)Proceedings of the National Academy of Sciences (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Marcia N. Gordon
134 papers receiving 20.4k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Neurology 6.2k
- Biological Psychiatry 1.7k
- Physiology 14.5k
- Cellular and Molecular Neuroscience 4.8k
- Developmental Neuroscience 827
Countries citing papers authored by Marcia N. Gordon
This map shows the geographic impact of Marcia N. 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 Marcia N. Gordon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcia N. Gordon more than expected).
Fields of papers citing papers by Marcia N. Gordon
This network shows the impact of papers produced by Marcia N. 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 Marcia N. Gordon. The network helps show where Marcia N. Gordon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marcia N. 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2021 | 17 | |
| 4 | 2021 | 20 | |
| 5 | 2015 | 38 | |
| 6 | 2015 | 42 | |
| 7 | 2013 | 84 | |
| 8 | 2010 | 59 | |
| 9 | 2010 | 100 | |
| 10 | 2009 | 78 | |
| 11 | 2008 | 18 | |
| 12 | 2006 | 151 | |
| 13 | 2004 | 250 | |
| 14 | 2004 | 132 | |
| 15 | 2004 | 43 | |
| 16 | 2003 | 35 | |
| 17 | 2003 | 77 | |
| 18 | 2003 | 268 | |
| 19 | Estrogens differentially enhance spatial and non-spatial memory | 2001 | 1 |
| 20 | 1990 | 12 |
About Marcia N. Gordon
Marcia N. Gordon is a scholar working on Neurology, Biological Psychiatry and Physiology, having authored 135 papers that have together received 20.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (88 papers), Neuroinflammation and Neurodegeneration Mechanisms (53 papers), Cholinesterase and Neurodegenerative Diseases (17 papers), Prion Diseases and Protein Misfolding (14 papers), Neuroscience and Neuropharmacology Research (13 papers), Tryptophan and brain disorders (11 papers), Nuclear Receptors and Signaling (10 papers) and Computational Drug Discovery Methods (9 papers). The work is most often cited by research in Neurology (6.2k citations), Biological Psychiatry (1.7k citations) and Physiology (14.5k citations). Marcia N. Gordon has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Dave Morgan, Chad A. Dickey, Daniel C. Lee, Maj-Linda B. Selenica, Milene L. Brownlow, Gabriela Peña, Jeffy P. Jimenez, Donna M. Wilcock, Paul Jantzen and David Morgan. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.
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.