Carmen Chan

609 total citations
9 papers, 511 citations indexed

About

Carmen Chan is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Molecular Biology. According to data from OpenAlex, Carmen Chan has authored 9 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 4 papers in Developmental Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Carmen Chan's work include Nerve injury and regeneration (8 papers), Axon Guidance and Neuronal Signaling (5 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). Carmen Chan is often cited by papers focused on Nerve injury and regeneration (8 papers), Axon Guidance and Neuronal Signaling (5 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). Carmen Chan collaborates with scholars based in Canada, Japan and China. Carmen Chan's co-authors include Wolfram Tetzlaff, John D. Steeves, Loren W. Oschipok, Jie Liu, Robert Zamboni, G. W. Hiebert, George S. Robertson, Jaimie Borisoff, Darren Sutherland and Karl J. L. Fernandes and has published in prestigious journals such as Experimental Neurology, Glia and Journal of Neurotrauma.

In The Last Decade

Carmen Chan

9 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carmen Chan Canada 7 349 168 149 144 88 9 511
Leung-Wah Yick Hong Kong 10 367 1.1× 181 1.1× 131 0.9× 237 1.6× 70 0.8× 12 550
Justin R. Siebert United States 10 249 0.7× 175 1.0× 130 0.9× 192 1.3× 108 1.2× 11 475
Samuel David Canada 12 361 1.0× 243 1.4× 199 1.3× 134 0.9× 59 0.7× 13 719
Jiong Pei United States 5 382 1.1× 180 1.1× 158 1.1× 169 1.2× 115 1.3× 6 511
Véronique Menet France 5 304 0.9× 206 1.2× 187 1.3× 122 0.8× 60 0.7× 5 517
Sari S. Hannila Canada 12 305 0.9× 168 1.0× 197 1.3× 112 0.8× 32 0.4× 18 489
Xiufeng Tang China 9 351 1.0× 178 1.1× 223 1.5× 163 1.1× 150 1.7× 16 632
Katrin Pech Germany 10 221 0.6× 99 0.6× 105 0.7× 164 1.1× 31 0.4× 11 412
Elizabeth J. Fry Australia 7 266 0.8× 135 0.8× 106 0.7× 88 0.6× 53 0.6× 9 368
Do-Hun Lee United States 8 256 0.7× 159 0.9× 143 1.0× 153 1.1× 32 0.4× 9 474

Countries citing papers authored by Carmen Chan

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Chan

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

All Works

9 of 9 papers shown
1.
Chan, Carmen, Noriko Ooashi, Hiroki Akiyama, et al.. (2020). Inositol 1,4,5-Trisphosphate Receptor Type 3 Regulates Neuronal Growth Cone Sensitivity to Guidance Signals. iScience. 23(3). 100963–100963. 6 indexed citations
2.
Chan, Carmen. (2013). Modulating Ca 2+ Release By the IP 3 R/Ca 2+ Channel As a Potential Therapeutic Treatment for Neurological Diseases. Pharmaceutical Patent Analyst. 2(5). 629–636. 4 indexed citations
3.
Fujiyoshi, Takayuki, Takekazu Kubo, Carmen Chan, et al.. (2010). Interferon-γ Decreases Chondroitin Sulfate Proteoglycan Expression and Enhances Hindlimb Function after Spinal Cord Injury in Mice. Journal of Neurotrauma. 27(12). 2283–2294. 19 indexed citations
4.
Chan, Carmen. (2008). Inflammation: Beneficial or Detrimental After Spinal Cord Injury?. PubMed. 3(3). 189–199. 59 indexed citations
5.
Chan, Carmen, Clive J. Roberts, John D. Steeves, & Wolfram Tetzlaff. (2007). Aggrecan components differentially modulate nerve growth factor–responsive and neurotrophin‐3‐responsive dorsal root ganglion neurite growth. Journal of Neuroscience Research. 86(3). 581–592. 32 indexed citations
7.
Chan, Carmen, Jie Liu, Darren Sutherland, et al.. (2005). Dose-dependent beneficial and detrimental effects of ROCK inhibitor Y27632 on axonal sprouting and functional recovery after rat spinal cord injury. Experimental Neurology. 196(2). 352–364. 120 indexed citations
8.
McPhail, Lowell T., Karl J. L. Fernandes, Carmen Chan, Jacqueline L. Vanderluit, & Wolfram Tetzlaff. (2004). Axonal reinjury reveals the survival and re-expression of regeneration-associated genes in chronically axotomized adult mouse motoneurons. Experimental Neurology. 188(2). 331–340. 43 indexed citations
9.
Borisoff, Jaimie, Carmen Chan, G. W. Hiebert, et al.. (2003). Suppression of Rho-kinase activity promotes axonal growth on inhibitory CNS substrates. Molecular and Cellular Neuroscience. 22(3). 405–416. 180 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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