John McGraw

1.7k total citations
22 papers, 1.2k citations indexed

About

John McGraw is a scholar working on Surgery, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, John McGraw has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Molecular Biology. Recurrent topics in John McGraw's work include Nerve injury and regeneration (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Galectins and Cancer Biology (4 papers). John McGraw is often cited by papers focused on Nerve injury and regeneration (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Galectins and Cancer Biology (4 papers). John McGraw collaborates with scholars based in United States, Canada and Japan. John McGraw's co-authors include John D. Steeves, G. W. Hiebert, Wolfram Tetzlaff, Loren W. Oschipok, J. D. Steeves, Jie Liu, Nao Kobayashi, Brian K. Kwon, Lowell T. McPhail and Christopher B. McBride and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

John McGraw

22 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John McGraw United States 18 475 321 296 248 228 22 1.2k
Yoshikuni Tanioka Japan 22 279 0.6× 573 1.8× 225 0.8× 230 0.9× 136 0.6× 63 1.8k
Xiaobin Lü United States 17 260 0.5× 859 2.7× 167 0.6× 183 0.7× 79 0.3× 24 1.9k
Martine Jaegle Netherlands 25 729 1.5× 1.2k 3.9× 443 1.5× 70 0.3× 81 0.4× 34 2.4k
Rafael J. Yáñez‐Muñoz United Kingdom 29 544 1.1× 1.7k 5.4× 194 0.7× 164 0.7× 164 0.7× 67 3.2k
James T. Walsh United States 10 164 0.3× 213 0.7× 129 0.4× 135 0.5× 94 0.4× 19 1.2k
Richard T. Ambron United States 26 737 1.6× 685 2.1× 112 0.4× 45 0.2× 87 0.4× 61 1.9k
Muriel Coulpier France 19 371 0.8× 437 1.4× 247 0.8× 34 0.1× 44 0.2× 34 1.4k
Changying Ling United States 20 231 0.5× 241 0.8× 147 0.5× 80 0.3× 59 0.3× 35 1.3k
Shoushu Jiao United States 16 520 1.1× 630 2.0× 219 0.7× 35 0.1× 88 0.4× 19 1.3k
Nessan Bermingham United States 9 334 0.7× 1.3k 3.9× 162 0.5× 63 0.3× 210 0.9× 14 2.4k

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-authorship network of co-authors of John McGraw

This figure shows the co-authorship network connecting the top 25 collaborators of John McGraw. A scholar is included among the top collaborators of John McGraw based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John McGraw. John McGraw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lane, Thomas, Nathan Henry, Yi Xu, et al.. (2016). The green ash transcriptome and identification of genes responding to abiotic and biotic stresses. BMC Genomics. 17(1). 702–702. 29 indexed citations
2.
Carpi, Giovanna, Andrew Kitchen, Hie Lim Kim, et al.. (2016). Mitogenomes reveal diversity of the European Lyme borreliosis vector Ixodes ricinus in Italy. Molecular Phylogenetics and Evolution. 101. 194–202. 29 indexed citations
3.
Fuller, Zachary L., Elina L. Niño, Harland M. Patch, et al.. (2015). Genome-wide analysis of signatures of selection in populations of African honey bees (Apis mellifera) using new web-based tools. BMC Genomics. 16(1). 518–518. 38 indexed citations
4.
Kistler, Logan, Aakrosh Ratan, Laurie R. Godfrey, et al.. (2014). Comparative and population mitogenomic analyses of Madagascar's extinct, giant ‘subfossil’ lemurs. Journal of Human Evolution. 79. 45–54. 69 indexed citations
5.
Linz, Bodo, Helen M. Windsor, John McGraw, et al.. (2014). A mutation burst during the acute phase of Helicobacter pylori infection in humans and rhesus macaques. Nature Communications. 5(1). 4165–4165. 80 indexed citations
6.
McGraw, John, Andrew D. Gaudet, Loren W. Oschipok, et al.. (2005). Regulation of neuronal and glial galectin-1 expression by peripheral and central axotomy of rat primary afferent neurons. Experimental Neurology. 195(1). 103–114. 28 indexed citations
8.
McGraw, John, Andrew D. Gaudet, Loren W. Oschipok, et al.. (2004). Altered primary afferent anatomy and reduced thermal sensitivity in mice lacking galectin-1. Pain. 114(1). 7–18. 30 indexed citations
9.
McGraw, John, Lowell T. McPhail, Loren W. Oschipok, et al.. (2004). Galectin‐1 in regenerating motoneurons. European Journal of Neuroscience. 20(11). 2872–2880. 36 indexed citations
10.
McGraw, John, Loren W. Oschipok, Jiangui Liu, et al.. (2004). Galectin-1 expression correlates with the regenerative potential of rubrospinal and spinal motoneurons. Neuroscience. 128(4). 713–719. 29 indexed citations
11.
McPhail, Lowell T., Christopher B. McBride, John McGraw, John D. Steeves, & Wolfram Tetzlaff. (2003). Axotomy abolishes NeuN expression in facial but not rubrospinal neurons. Experimental Neurology. 185(1). 182–190. 94 indexed citations
12.
13.
Kwon, Brian K., Jie Liu, Nao Kobayashi, et al.. (2002). Survival and regeneration of rubrospinal neurons 1 year after spinal cord injury. Proceedings of the National Academy of Sciences. 99(5). 3246–3251. 197 indexed citations
14.
McGraw, John, G. W. Hiebert, & John D. Steeves. (2001). Modulating astrogliosis after neurotrauma. Journal of Neuroscience Research. 63(2). 109–115. 230 indexed citations
15.
Keirstead, H. S., et al.. (1997). In Vivo Immunological Suppression of Spinal Cord Myelin Development. Brain Research Bulletin. 44(6). 727–734. 11 indexed citations
16.
McGraw, John, et al.. (1997). Ender Nails: An Alternative for Intramedullary Fixation of Femoral Shaft Fractures in Children and Adolescents. Southern Medical Journal. 90(7). 694–696. 8 indexed citations
17.
Keirstead, H. S., et al.. (1995). Axonal regeneration and physiological activity following transection and immunological disruption of myelin within the hatchling chick spinal cord. Journal of Neuroscience. 15(10). 6963–6974. 66 indexed citations
18.
McGraw, John, et al.. (1986). Neurological Complications Resulting from Supracondylar Fractures of the Humerus in Children. Journal of Pediatric Orthopaedics. 6(6). 647–650. 72 indexed citations
19.
Shands, J. W., D L Peavy, B J Gormus, & John McGraw. (1974). In Vitro and In Vivo Effects of Endotoxin on Mouse Peritoneal Cells. Infection and Immunity. 9(1). 106–112. 31 indexed citations
20.
Strumia, Max M., et al.. (1952). Preservation of Dried and Frozen Plasma Over a Ten-Year Period. American Journal of Clinical Pathology. 22(4). 313–321. 4 indexed citations

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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