Gregory D. Ford
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 10
- Developmental Neuroscience top 10%
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 10
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- MicroRNA in disease regulation 2
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- S100 Proteins and Annexins 10
- Mitochondrial Function and Pathology 2
- RNA regulation and disease 2
- Retinoids in leukemia and cellular processes 2
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- Acute Ischemic Stroke Management 3
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- Immunotoxicology and immune responses 2
Gregory D. Ford
21 papers receiving 923 citations
Peers
Comparison fields: 5 of 94
- Neurology 252
- Developmental Neuroscience 70
- Cellular and Molecular Neuroscience 203
- Neurology 119
- Cancer Research 95
Countries citing papers authored by Gregory D. Ford
This map shows the geographic impact of Gregory D. Ford'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 Gregory D. Ford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory D. Ford more than expected).
Fields of papers citing papers by Gregory D. Ford
This network shows the impact of papers produced by Gregory D. Ford. 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 Gregory D. Ford. The network helps show where Gregory D. Ford may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gregory D. Ford, 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 | 2024 | 2 | |
| 2 | 2019 | 17 | |
| 3 | 2016 | 106 | |
| 4 | 2016 | 17 | |
| 5 | 2015 | 49 | |
| 6 | 2013 | 64 | |
| 7 | 2012 | 12 | |
| 8 | Acute neuronal injury and blood genomic profiles in a nonhuman primate model for ischemic stroke. | 2012 | 18 |
| 9 | 2012 | 35 | |
| 10 | 2011 | 74 | |
| 11 | 2009 | 2 | |
| 12 | 2008 | 12 | |
| 13 | 2008 | 40 | |
| 14 | 2008 | 1 | |
| 15 | 2007 | 69 | |
| 16 | 2006 | 87 | |
| 17 | 2006 | 69 | |
| 18 | 2005 | 90 | |
| 19 | 2004 | 90 | |
| 20 | 1995 | 25 |
About Gregory D. Ford
Gregory D. Ford is a scholar working on Neurology, Immunology, Molecular Biology, Cancer Research and Neurology, having authored 21 papers that have together received 942 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), S100 Proteins and Annexins (10 papers), Acute Ischemic Stroke Management (3 papers), Immunotoxicology and immune responses (2 papers), Mitochondrial Function and Pathology (2 papers), RNA regulation and disease (2 papers), MicroRNA in disease regulation (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Neurology (252 citations), Developmental Neuroscience (70 citations), Cellular and Molecular Neuroscience (203 citations), Neurology (119 citations) and Cancer Research (95 citations). Gregory D. Ford has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Byron D. Ford, Zhenfeng Xu, Yonggang Li, Alicia Gates, Ju Jiang, Monique C. Surles-Zeigler, Cuimei Liu, Pamela J. Lein, Donald A. Bruun and G W Newman. Their work appears in journals such as Brain Research, Toxicology and Applied Pharmacology, BMC Genomics, Journal of Neuroinflammation and Journal of Cerebral Blood Flow & Metabolism.
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.