Philip Duffy

959 total citations
7 papers, 770 citations indexed

About

Philip Duffy is a scholar working on Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Developmental Neuroscience. According to data from OpenAlex, Philip Duffy has authored 7 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 4 papers in Pathology and Forensic Medicine and 3 papers in Developmental Neuroscience. Recurrent topics in Philip Duffy's work include Nerve injury and regeneration (7 papers), Spinal Cord Injury Research (4 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Philip Duffy is often cited by papers focused on Nerve injury and regeneration (7 papers), Spinal Cord Injury Research (4 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Philip Duffy collaborates with scholars based in United States, Japan and South Korea. Philip Duffy's co-authors include William B.J. Cafferty, Stephen M. Strittmatter, Eric A. Huebner, Shih‐Hung Yang, Shuxin Li, André Schmandke, Antonio Schmandke, Shuh Narumiya, Nathan Tu and Elizabeth J. Bradbury and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Philip Duffy

7 papers receiving 763 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Duffy United States 7 589 320 247 240 117 7 770
Shuxin Li United States 7 794 1.3× 504 1.6× 291 1.2× 251 1.0× 124 1.1× 7 1.0k
Loren W. Oschipok Canada 12 552 0.9× 293 0.9× 251 1.0× 264 1.1× 63 0.5× 14 776
Carole Ho United States 7 698 1.2× 457 1.4× 292 1.2× 175 0.7× 51 0.4× 9 988
Armin Buss Germany 12 742 1.3× 471 1.5× 261 1.1× 317 1.3× 101 0.9× 12 1.1k
Alicia L. Hawthorne United States 7 381 0.6× 223 0.7× 207 0.8× 292 1.2× 82 0.7× 7 691
Fernando X. Cuascut United States 8 544 0.9× 268 0.8× 327 1.3× 303 1.3× 232 2.0× 13 948
Marco Domeniconi United States 7 757 1.3× 501 1.6× 323 1.3× 116 0.5× 68 0.6× 7 907
Leung-Wah Yick Hong Kong 10 367 0.6× 181 0.6× 131 0.5× 237 1.0× 70 0.6× 12 550
Carmen Chan Canada 7 349 0.6× 168 0.5× 149 0.6× 144 0.6× 88 0.8× 9 511
Theresa Connors United States 13 471 0.8× 297 0.9× 192 0.8× 274 1.1× 63 0.5× 20 700

Countries citing papers authored by Philip Duffy

Since Specialization
Citations

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

Fields of papers citing papers by Philip Duffy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Duffy

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Duffy. A scholar is included among the top collaborators of Philip Duffy 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 Philip Duffy. Philip Duffy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Duffy, Philip, Xingxing Wang, Chad Siegel, et al.. (2012). Myelin-derived ephrinB3 restricts axonal regeneration and recovery after adult CNS injury. Proceedings of the National Academy of Sciences. 109(13). 5063–5068. 66 indexed citations
2.
Huebner, Eric A., Byung Gon Kim, Philip Duffy, Rebecca H. Brown, & Stephen M. Strittmatter. (2011). A Multi-domain Fragment of Nogo-A Protein Is a Potent Inhibitor of Cortical Axon Regeneration via Nogo Receptor 1. Journal of Biological Chemistry. 286(20). 18026–18036. 52 indexed citations
3.
Wang, Xingxing, Philip Duffy, Aaron W. McGee, et al.. (2011). Recovery from chronic spinal cord contusion after nogo receptor intervention. Annals of Neurology. 70(5). 805–821. 75 indexed citations
4.
Cafferty, William B.J., Philip Duffy, Eric A. Huebner, & Stephen M. Strittmatter. (2010). MAG and OMgp Synergize with Nogo-A to Restrict Axonal Growth and Neurological Recovery after Spinal Cord Trauma. Journal of Neuroscience. 30(20). 6825–6837. 194 indexed citations
5.
Duffy, Philip, André Schmandke, Antonio Schmandke, et al.. (2009). Rho-Associated Kinase II (ROCKII) Limits Axonal Growth after Trauma within the Adult Mouse Spinal Cord. Journal of Neuroscience. 29(48). 15266–15276. 107 indexed citations
6.
Cafferty, William B.J., Elizabeth J. Bradbury, Malcolm Lidierth, et al.. (2008). Chondroitinase ABC-Mediated Plasticity of Spinal Sensory Function. Journal of Neuroscience. 28(46). 11998–12009. 93 indexed citations
7.
Cafferty, William B.J., Shih‐Hung Yang, Philip Duffy, Shuxin Li, & Stephen M. Strittmatter. (2007). Functional Axonal Regeneration through Astrocytic Scar Genetically Modified to Digest Chondroitin Sulfate Proteoglycans. Journal of Neuroscience. 27(9). 2176–2185. 183 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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