Russell P. Landry

491 total citations
7 papers, 420 citations indexed

About

Russell P. Landry is a scholar working on Physiology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Russell P. Landry has authored 7 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Russell P. Landry's work include Pain Mechanisms and Treatments (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Bioactive Compounds and Antitumor Agents (2 papers). Russell P. Landry is often cited by papers focused on Pain Mechanisms and Treatments (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Bioactive Compounds and Antitumor Agents (2 papers). Russell P. Landry collaborates with scholars based in United States and United Kingdom. Russell P. Landry's co-authors include E. Alfonso Romero‐Sandoval, Joyce A. DeLeo, Ryan J. Horvath, Valerie L. Jacobs, Elena Martinez, Carlos Solórzano, Matthew S. Alkaitis, Daniele Piomelli, Christian Ndong and Madhurima Saha and has published in prestigious journals such as PLoS ONE, Neuroscience and Experimental Neurology.

In The Last Decade

Russell P. Landry

7 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Russell P. Landry United States 7 246 181 164 79 76 7 420
Nathan T. Fiore Australia 11 352 1.4× 192 1.1× 105 0.6× 58 0.7× 153 2.0× 17 542
Khalil Eldeeb United States 7 113 0.5× 214 1.2× 220 1.3× 110 1.4× 43 0.6× 17 417
Zhao‐Jun Wang China 14 276 1.1× 145 0.8× 70 0.4× 162 2.1× 106 1.4× 25 549
Yishan Lei China 13 182 0.7× 80 0.4× 49 0.3× 90 1.1× 95 1.3× 23 429
Kang-Wu Li United States 9 378 1.5× 210 1.2× 110 0.7× 211 2.7× 30 0.4× 9 594
Sílvia Castany Spain 8 169 0.7× 113 0.6× 72 0.4× 132 1.7× 97 1.3× 11 378
Moh Panesar United Kingdom 10 229 0.9× 202 1.1× 54 0.3× 174 2.2× 28 0.4× 10 501
Lauren Willard United States 5 98 0.4× 130 0.7× 60 0.4× 115 1.5× 104 1.4× 8 314
Ryan B. Griggs United States 11 203 0.8× 132 0.7× 41 0.3× 122 1.5× 57 0.8× 16 385
Vasiliki Mitsi United States 9 275 1.1× 214 1.2× 80 0.5× 152 1.9× 25 0.3× 11 471

Countries citing papers authored by Russell P. Landry

Since Specialization
Citations

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

Fields of papers citing papers by Russell P. Landry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Russell P. Landry. 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 Russell P. Landry. The network helps show where Russell P. Landry may publish in the future.

Co-authorship network of co-authors of Russell P. Landry

This figure shows the co-authorship network connecting the top 25 collaborators of Russell P. Landry. A scholar is included among the top collaborators of Russell P. Landry 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 Russell P. Landry. Russell P. Landry 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.
Ndong, Christian, Russell P. Landry, Madhurima Saha, & E. Alfonso Romero‐Sandoval. (2014). Mitogen-activated protein kinase (MAPK) phosphatase-3 (MKP-3) displays a p-JNK-MAPK substrate preference in astrocytes in vitro. Neuroscience Letters. 575. 13–18. 10 indexed citations
2.
Landry, Russell P., Elena Martinez, Joyce A. DeLeo, & E. Alfonso Romero‐Sandoval. (2012). Spinal Cannabinoid Receptor Type 2 Agonist Reduces Mechanical Allodynia and Induces Mitogen-Activated Protein Kinase Phosphatases in a Rat Model of Neuropathic Pain. Journal of Pain. 13(9). 836–848. 46 indexed citations
3.
Ndong, Christian, Russell P. Landry, Joyce A. DeLeo, & E. Alfonso Romero‐Sandoval. (2012). Mitogen Activated Protein Kinase Phosphatase-1 Prevents the Development of Tactile Sensitivity in a Rodent Model of Neuropathic Pain. Molecular Pain. 8. 34–34. 29 indexed citations
4.
Landry, Russell P., Valerie L. Jacobs, E. Alfonso Romero‐Sandoval, & Joyce A. DeLeo. (2011). Propentofylline, a CNS glial modulator does not decrease pain in post-herpetic neuralgia patients: In vitro evidence for differential responses in human and rodent microglia and macrophages. Experimental Neurology. 234(2). 340–350. 87 indexed citations
5.
Alkaitis, Matthew S., Carlos Solórzano, Russell P. Landry, et al.. (2010). Evidence for a Role of Endocannabinoids, Astrocytes and p38 Phosphorylation in the Resolution of Postoperative Pain. PLoS ONE. 5(5). e10891–e10891. 60 indexed citations
6.
Horvath, Ryan J., Russell P. Landry, E. Alfonso Romero‐Sandoval, & Joyce A. DeLeo. (2010). Morphine tolerance attenuates the resolution of postoperative pain and enhances spinal microglial p38 and extracellular receptor kinase phosphorylation. Neuroscience. 169(2). 843–854. 55 indexed citations
7.
Romero‐Sandoval, E. Alfonso, Ryan J. Horvath, Russell P. Landry, & Joyce A. DeLeo. (2009). CANnabinoid Receptor Type 2 Activation Induces a Microglial Anti-Inflammatory Phenotype and Reduces Migration via MKP Induction and ERK Dephosphorylation. Molecular Pain. 5. 25–25. 133 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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