Leo Sanelli

1.1k total citations
9 papers, 879 citations indexed

About

Leo Sanelli is a scholar working on Pathology and Forensic Medicine, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Leo Sanelli has authored 9 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 4 papers in Neurology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Leo Sanelli's work include Spinal Cord Injury Research (6 papers), Botulinum Toxin and Related Neurological Disorders (4 papers) and Nerve injury and regeneration (3 papers). Leo Sanelli is often cited by papers focused on Spinal Cord Injury Research (6 papers), Botulinum Toxin and Related Neurological Disorders (4 papers) and Nerve injury and regeneration (3 papers). Leo Sanelli collaborates with scholars based in Canada, United States and Japan. Leo Sanelli's co-authors include David J. Bennett, Monica A. Gorassini, Karim Fouad, Philip J. Harvey, Romana Vavrek, Michelle M. Rank, Katherine C. Murray, R. Luke Harris, Marilee J. Stephens and Jianguo Cheng and has published in prestigious journals such as Nature Medicine, Journal of Neurophysiology and Scientific Reports.

In The Last Decade

Leo Sanelli

9 papers receiving 871 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leo Sanelli Canada 9 473 308 179 170 169 9 879
Katherine C. Murray Canada 8 395 0.8× 289 0.9× 144 0.8× 190 1.1× 138 0.8× 8 783
Michelle M. Rank Australia 14 380 0.8× 240 0.8× 148 0.8× 169 1.0× 93 0.6× 20 816
Philip J. Harvey Canada 10 459 1.0× 452 1.5× 258 1.4× 205 1.2× 232 1.4× 11 1.2k
Jessica M. D’Amico Canada 14 461 1.0× 261 0.8× 106 0.6× 248 1.5× 156 0.9× 26 896
Romana Vavrek Canada 14 662 1.4× 517 1.7× 165 0.9× 202 1.2× 92 0.5× 21 1.1k
Marie‐Pascale Côté United States 19 720 1.5× 412 1.3× 108 0.6× 211 1.2× 84 0.5× 28 1.1k
Simone Duis Netherlands 8 493 1.0× 443 1.4× 94 0.5× 214 1.3× 63 0.4× 8 1.1k
Giuliano Taccola Italy 18 361 0.8× 323 1.0× 188 1.1× 139 0.8× 52 0.3× 53 949
Bengt Skoog Sweden 14 268 0.6× 196 0.6× 67 0.4× 98 0.6× 156 0.9× 23 756

Countries citing papers authored by Leo Sanelli

Since Specialization
Citations

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

Fields of papers citing papers by Leo Sanelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leo Sanelli

This figure shows the co-authorship network connecting the top 25 collaborators of Leo Sanelli. A scholar is included among the top collaborators of Leo Sanelli 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 Leo Sanelli. Leo Sanelli 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.
Li, Yaqing, Ana M. Lucas‐Osma, Mischa V. Bandet, et al.. (2017). Pericytes impair capillary blood flow and motor function after chronic spinal cord injury. Nature Medicine. 23(6). 733–741. 129 indexed citations
2.
Narzo, Antonio Fabio Di, Alexey Kozlenkov, Yongchao Ge, et al.. (2015). Decrease of mRNA Editing after Spinal Cord Injury is Caused by Down-regulation of ADAR2 that is Triggered by Inflammatory Response. Scientific Reports. 5(1). 12615–12615. 23 indexed citations
3.
Murray, Katherine C., Aya Nakae, Marilee J. Stephens, et al.. (2010). Recovery of motoneuron and locomotor function after spinal cord injury depends on constitutive activity in 5-HT2C receptors. Nature Medicine. 16(6). 694–700. 311 indexed citations
4.
Fouad, Karim, Michelle M. Rank, Romana Vavrek, et al.. (2010). Locomotion After Spinal Cord Injury Depends on Constitutive Activity in Serotonin Receptors. Journal of Neurophysiology. 104(6). 2975–2984. 69 indexed citations
5.
Anelli, Roberta, Leo Sanelli, David J. Bennett, & C. J. Heckman. (2007). Expression of L-type calcium channel α1-1.2 and α1-1.3 subunits on rat sacral motoneurons following chronic spinal cord injury. Neuroscience. 145(2). 751–763. 20 indexed citations
6.
Harris, R. Luke, Charles T. Putman, Michelle M. Rank, Leo Sanelli, & David J. Bennett. (2006). Spastic Tail Muscles Recover From Myofiber Atrophy and Myosin Heavy Chain Transformations in Chronic Spinal Rats. Journal of Neurophysiology. 97(2). 1040–1051. 16 indexed citations
7.
Harris, R. Luke, Jacques Bobet, Leo Sanelli, & David J. Bennett. (2005). Tail Muscles Become Slow but Fatigable in Chronic Sacral Spinal Rats With Spasticity. Journal of Neurophysiology. 95(2). 1124–1133. 29 indexed citations
8.
Bennett, David J., et al.. (2004). Spastic Long-Lasting Reflexes in the Awake Rat After Sacral Spinal Cord Injury. Journal of Neurophysiology. 91(5). 2247–2258. 132 indexed citations
9.
Bennett, David J., Monica A. Gorassini, Karim Fouad, et al.. (1999). Spasticity in Rats With Sacral Spinal Cord Injury. Journal of Neurotrauma. 16(1). 69–84. 150 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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