John Dodge

799 citations
11 papers · 536 indexed · h-index 10

Impact in

    • Neurogenesis and neuroplasticity mechanisms
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Traumatic Brain Injury and Neurovascular Disturbances

Papers in

John Dodge

11 papers receiving 525 citations

Peers

John Dodge
Comparison fields: 5 of 74
  • Developmental Neuroscience 72
  • Neurology 125
  • Cellular and Molecular Neuroscience 196
  • Behavioral Neuroscience 25
  • Cognitive Neuroscience 102
Replace Catherine M. Gliddon with:
Catherine M. Gliddon New Zealand
Zeyun Guo China
Janice W. S. Law Singapore
M. W. Seeliger Germany
Yunju Jin United States
JA Kessler United States
David W. Caley United States
Satoshi Kashii Japan
Won‐Jong Oh South Korea
Kreutzberg Gw Germany
John Dodge relative to Catherine M. Gliddon New Zealand Catherine M. Gliddon's profile →
Citations per field
00.5×1.5×2.4×
Catherine M. Gliddon · 1×
Citations per year

Countries citing papers authored by John Dodge

Since Specialization
Citations

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

Fields of papers citing papers by John Dodge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Dodge. 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 John Dodge. The network helps show where John Dodge may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 197888
2 197783
3 201381
4 197873
5
Pathologic studies of the blood--retinal barrier in the spontaneously diabetic BB rat.
198462
6 200750
7 199834
8 199827
9 199917
10 199412
11 19929

About John Dodge

John Dodge is a scholar working on Neurology, Developmental Neuroscience, Physiology, Endocrine and Autonomic Systems and Complementary and alternative medicine, having authored 11 papers that have together received 536 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Neurological Disorders and Treatments (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Signaling Pathways in Disease (1 paper), Alzheimer's disease research and treatments (1 paper), Tissue Engineering and Regenerative Medicine (1 paper) and Electrospun Nanofibers in Biomedical Applications (1 paper). The work is most often cited by research in Developmental Neuroscience (72 citations), Neurology (125 citations), Cellular and Molecular Neuroscience (196 citations), Behavioral Neuroscience (25 citations) and Cognitive Neuroscience (102 citations). John Dodge has collaborated with scholars based in United States and Spain. Frequent co-authors include Yuri Geinisman, William Bondareff, Mark O.M. Tso, Norman P. Blair, John A. Bevan, Rosemary D. Bevan, Mercedes Rincón, Carrie L. Walters, Oliver Dienz and Phani M. Gummadidala. Their work appears in journals such as Life Sciences, Brain Research, Pediatric Research, Circulation Research and American Journal of Physiology-Heart and Circulatory Physiology.

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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