Gregory D. Ford

1.2k citations
22 papers · 986 · h-index 16

Impact in

Papers in

    • S100 Proteins and Annexins 7
    • Retinoids in leukemia and cellular processes 2
    • Angiogenesis and VEGF in Cancer 2
    • Neuroinflammation and Neurodegeneration Mechanisms 8

Gregory D. Ford

21 papers receiving 964 citations

Peers

Gregory D. Ford
Comparison fields: 5 of 94
  • Neurology 218
  • Developmental Neuroscience 60
  • Cellular and Molecular Neuroscience 194
  • Neurology 101
  • Immunology and Allergy 35
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Citations per year

Countries citing papers authored by Gregory D. Ford

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Gregory D. Ford Line = papers co-authored together Gregory D. Ford links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016110
2 200695
3 200595
4 200491
5 201180
6 200771
7 200670
8 200565
9 201364
10 201554
11 200841
12 201237
13 199526
14 201918
15
Acute neuronal injury and blood genomic profiles in a nonhuman primate model for ischemic stroke.
201218
16 201617
17 200814
18 201213
19 20244
20 20092

About Gregory D. Ford

Gregory D. Ford is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Epidemiology and Immunology, having authored 22 papers that have together received 986 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), S100 Proteins and Annexins (7 papers), Acute Ischemic Stroke Management (3 papers), Retinoids in leukemia and cellular processes (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Pesticide Exposure and Toxicity (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Neurology (218 citations), Developmental Neuroscience (60 citations), Cellular and Molecular Neuroscience (194 citations), Neurology (101 citations) and Immunology and Allergy (35 citations). Gregory D. Ford has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Byron D. Ford, Zhenfeng Xu, Alicia Gates, Yonggang Li, Ju Jiang, Monique C. Surles-Zeigler, Cuimei Liu, Donald A. Bruun, Pamela J. Lein and T. White. Their work appears in journals such as Brain Research, Journal of Neuroinflammation, Biochemical and Biophysical Research Communications, BMC Genomics and Toxicology and Applied Pharmacology.

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.

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