D. G. Graham

49 papers receiving 1.4k citations

Peers

D. G. Graham
Comparison fields: 5 of 153
  • Biochemistry 124
  • Neurology 145
  • Cellular and Molecular Neuroscience 278
  • Neurology 204
  • Cell Biology 210
Replace Chiara Cini with:
Chiara Cini Italy
Alessandra Giorgi Italy
Carlo De Marco Italy
Bernd Moosmann Germany
George I. Henderson United States
Elizabeth Mazzio United States
G. Gaviraghi Italy
Mark Thomas United Kingdom
Nina F. Schor United States
F. Cattabeni Italy
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Citations per field
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Citations per year

Countries citing papers authored by D. G. Graham

Since Specialization
Citations

This map shows the geographic impact of D. G. Graham'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 D. G. Graham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. G. Graham more than expected).

Fields of papers citing papers by D. G. Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. G. Graham. 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 D. G. Graham. The network helps show where D. G. Graham may publish in the future.

Co-authors

The 25 scholars most cited alongside D. G. Graham, 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 D. G. Graham Line = papers co-authored together D. G. Graham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Immunohistochemical detection of 4-hydroxy-2-nonenal adducts in Alzheimer's disease is associated with inheritance of APOE4.
1997178
2 1999155
3
E-4-hydroxy-2-nonenal is cytotoxic and cross-links cytoskeletal proteins in P19 neuroglial cultures.
1996115
4 1977106
5 198793
6 199773
7 198971
8 199364
9 198461
10 199639
11 199834
12
Inhibition of DNA polymerase from L1210 murine leukemia by a sulfhydryl reagent from agaricus bisporus.
197729
13 200028
14 197926
15 198925
16 198024
17 200722
18 199522
19 199721
20 199521

About D. G. Graham

D. G. Graham is a scholar working on Molecular Biology, Cell Biology, Plant Science, Neurology and Physiology, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pesticide Exposure and Toxicity (6 papers), Carcinogens and Genotoxicity Assessment (5 papers), Antioxidant Activity and Oxidative Stress (3 papers), Primary Care and Health Outcomes (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Nerve injury and regeneration (2 papers), Alzheimer's disease research and treatments (2 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). The work is most often cited by research in Biochemistry (124 citations), Neurology (145 citations), Cellular and Molecular Neuroscience (278 citations), Neurology (204 citations) and Cell Biology (210 citations). D. G. Graham has collaborated with scholars based in United States and New Zealand. Frequent co-authors include Thomas J. Montine, Kapil Amarnath, Peter W. Jeffs, William O. Whetsell, Kathrin R. Sidell, M. Diana Neely, William M. Valentine, Douglas C. Anthony, Kathleen S. Montine and Sandra J. Olson. Their work appears in journals such as Toxicology and Applied Pharmacology, Journal of Neuropathology & Experimental Neurology, Environmental Health Perspectives, The Journal of the American Board of Family Medicine and Journal of Biological Chemistry.

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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