John McGraw

1.7k citations
22 papers · 1.3k · h-index 18

Impact in

Papers in

John McGraw

22 papers receiving 1.3k citations

Peers

John McGraw
Comparison fields: 5 of 110
  • Developmental Neuroscience 309
  • Cellular and Molecular Neuroscience 506
  • Pathology and Forensic Medicine 243
  • Neurology 104
  • Rehabilitation 70
Replace Shoko Nakamura with:
Shoko Nakamura Japan
Doreen E. Ashhurst United Kingdom
Fay Wang United States
Rafael J. Yáñez‐Muñoz United Kingdom
Richard L. Benton United States
James T. Walsh United States
David Bodian United States
Ronald S. Goldstein Israel
Gerda Suchanek Austria
Muriel Coulpier France
John McGraw relative to Shoko Nakamura Japan Shoko Nakamura's profile →
Citations per field
00.5×2×3.4×
Shoko Nakamura · 1×
Citations per year

Countries citing papers authored by John McGraw

Since Specialization
Citations

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

Fields of papers citing papers by John McGraw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John McGraw, 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 McGraw Line = papers co-authored together John McGraw 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 2001241
2 2002214
3 200395
4 201488
5 200278
6 198676
7 199575
8 201475
9 200552
10 201539
11 200436
12 197435
13 201633
14 200533
15 201632
16 200430
17 200530
18 200429
19 199715
20 195811

About John McGraw

John McGraw is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Immunology, Surgery and Pathology and Forensic Medicine, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nerve injury and regeneration (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Galectins and Cancer Biology (4 papers), Signaling Pathways in Disease (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Spinal Cord Injury Research (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Developmental Neuroscience (309 citations), Cellular and Molecular Neuroscience (506 citations), Pathology and Forensic Medicine (243 citations), Neurology (104 citations) and Rehabilitation (70 citations). John McGraw has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include John D. Steeves, G. W. Hiebert, Wolfram Tetzlaff, Loren W. Oschipok, J. D. Steeves, Nao Kobayashi, Jie Liu, Brian K. Kwon, Lowell T. McPhail and Stephan Christoph Schuster. Their work appears in journals such as BMC Genomics, Experimental Neurology, American Journal of Clinical Pathology, European Journal of Neuroscience and Journal of Clinical Microbiology.

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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