Nader Ghasemlou

4.4k total citations · 2 hit papers
51 papers, 2.7k citations indexed

About

Nader Ghasemlou is a scholar working on Physiology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nader Ghasemlou has authored 51 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Physiology, 16 papers in Pathology and Forensic Medicine and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nader Ghasemlou's work include Pain Mechanisms and Treatments (17 papers), Spinal Cord Injury Research (12 papers) and Nerve injury and regeneration (6 papers). Nader Ghasemlou is often cited by papers focused on Pain Mechanisms and Treatments (17 papers), Spinal Cord Injury Research (12 papers) and Nerve injury and regeneration (6 papers). Nader Ghasemlou collaborates with scholars based in Canada, United States and Germany. Nader Ghasemlou's co-authors include Clifford J. Woolf, Isaac M. Chiu, Samuel David, Enrique J. Cobos, Balthasar A. Heesters, Johnathan Tran, Sun Wook Hwang, Brian J. Wainger, Fan Zhao and Michael C. Carroll and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Nader Ghasemlou

46 papers receiving 2.7k citations

Hit Papers

Bacteria activate sensory neurons that modulate pain and ... 2013 2026 2017 2021 2013 2022 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nader Ghasemlou Canada 23 1.0k 811 693 380 365 51 2.7k
Chul‐Kyu Park South Korea 31 1.7k 1.6× 869 1.1× 955 1.4× 272 0.7× 171 0.5× 81 3.6k
Bared Safieh‐Garabedian Lebanon 28 1.6k 1.6× 1.1k 1.4× 746 1.1× 274 0.7× 195 0.5× 66 3.8k
Gerlinda E. Hermann United States 38 758 0.7× 1.2k 1.5× 574 0.8× 775 2.0× 471 1.3× 95 4.4k
Yong Ho Kim South Korea 25 1.1k 1.1× 799 1.0× 745 1.1× 319 0.8× 92 0.3× 73 2.6k
Yan Lü China 28 1.0k 1.0× 643 0.8× 787 1.1× 321 0.8× 170 0.5× 81 2.7k
Bradley J. Kerr Canada 33 1.9k 1.8× 1.6k 2.0× 1.4k 2.0× 641 1.7× 631 1.7× 76 4.2k
Luigi Manni Italy 33 698 0.7× 1.5k 1.9× 820 1.2× 259 0.7× 155 0.4× 89 3.9k
Christian A. von Hehn United States 8 1.0k 1.0× 546 0.7× 487 0.7× 271 0.7× 117 0.3× 8 2.4k
Michael L. LaCroix‐Fralish United States 18 1.6k 1.5× 801 1.0× 469 0.7× 232 0.6× 180 0.5× 25 2.8k
Jen‐Kun Cheng Taiwan 27 2.0k 1.9× 1.2k 1.5× 1.1k 1.5× 328 0.9× 230 0.6× 80 3.5k

Countries citing papers authored by Nader Ghasemlou

Since Specialization
Citations

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

Fields of papers citing papers by Nader Ghasemlou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nader Ghasemlou

This figure shows the co-authorship network connecting the top 25 collaborators of Nader Ghasemlou. A scholar is included among the top collaborators of Nader Ghasemlou 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 Nader Ghasemlou. Nader Ghasemlou 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.
Buckley, Norman, et al.. (2024). The role of acute inflammation in pain resolution: is it time to rethink the use of routine anti-inflammatories in surgical practice?. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 71(10). 1349–1352.
3.
Eichwald, Tuany, A. Roger, Eva Kaufmann, et al.. (2024). Navigating the blurred path of mixed neuroimmune signaling. Journal of Allergy and Clinical Immunology. 153(4). 924–938. 4 indexed citations
4.
Dent, J, et al.. (2023). Advanced Dynamic Weight Bearing as an Observer-independent Measure of Hyperacute Hypersensitivity in Mice. Canadian Journal of Pain. 7(2). 2249060–2249060.
5.
Ghasemlou, Nader, et al.. (2023). Management of Coronary Artery Disease in CADASIL Patients: Review of Current Literature. Medicina. 59(3). 586–586. 4 indexed citations
6.
Silva, Jaqueline Raymondi, Mircea Iftinca, Francisco Isaac Fernandes Gomes, et al.. (2022). Skin-resident dendritic cells mediate postoperative pain via CCR4 on sensory neurons. Proceedings of the National Academy of Sciences. 119(4). 24 indexed citations
7.
Vader, Kyle, Perri R. Tutelman, Kathryn A. Birnie, et al.. (2022). The state of patient engagement among pain research trainees in Canada: Results of a national web-based survey. Canadian Journal of Pain. 6(1). 185–194. 3 indexed citations
8.
Parisien, Marc, L. Lima, Concetta Dagostino, et al.. (2022). Acute inflammatory response via neutrophil activation protects against the development of chronic pain. Science Translational Medicine. 14(644). eabj9954–eabj9954. 175 indexed citations breakdown →
9.
Gilron, Ian, Maggie Z. X. Xiao, Meg Carley, et al.. (2022). Glial-modulating agents for the treatment of pain: protocol for a systematic review. BMJ Open. 12(4). e055713–e055713. 1 indexed citations
10.
Halievski, Katherine, et al.. (2022). Circadian rhythms and glial cells of the central nervous system. Biological reviews/Biological reviews of the Cambridge Philosophical Society. 98(2). 520–539. 22 indexed citations
11.
Silva, Jaqueline Raymondi, et al.. (2021). Spinal cord injury in mice affects central and peripheral pathology in a severity-dependent manner. Pain. 163(6). 1172–1185. 7 indexed citations
12.
Jain, Rajiv W., et al.. (2018). Chronobiological regulation of psychosocial and physiological outcomes in multiple sclerosis. Neuroscience & Biobehavioral Reviews. 88. 73–83. 13 indexed citations
13.
Inquimbert, Perrine, Alban Latrémolière, Chi‐Kun Tong, et al.. (2018). NMDA Receptor Activation Underlies the Loss of Spinal Dorsal Horn Neurons and the Transition to Persistent Pain after Peripheral Nerve Injury. Cell Reports. 23(9). 2678–2689. 99 indexed citations
14.
Gilron, Ian, Dongsheng Tu, Ronald R. Holden, et al.. (2017). Pain Improvement With Novel Combination Analgesic Regimens (PAIN-CARE): Randomized Controlled Trial Protocol. JMIR Research Protocols. 6(6). e111–e111. 5 indexed citations
15.
David, Samuel, Juan G. Zarruk, & Nader Ghasemlou. (2012). Inflammatory Pathways in Spinal Cord Injury. International review of neurobiology. 106. 127–152. 73 indexed citations
16.
Sisignano, Marco, Chul‐Kyu Park, Carlo Angioni, et al.. (2012). 5,6-EET Is Released upon Neuronal Activity and Induces Mechanical Pain Hypersensitivity via TRPA1 on Central Afferent Terminals. Journal of Neuroscience. 32(18). 6364–6372. 100 indexed citations
17.
18.
Kerr, Bradley J., et al.. (2008). The protective effects of 15‐deoxy‐Δ‐12,14‐prostaglandin J2 in spinal cord injury. Glia. 56(4). 436–448. 29 indexed citations
19.
Ghasemlou, Nader, Suh Young Jeong, Steve Lacroix, & Samuel David. (2006). T cells contribute to lysophosphatidylcholine‐induced macrophage activation and demyelination in the CNS. Glia. 55(3). 294–302. 57 indexed citations
20.
Ghasemlou, Nader, et al.. (2005). Tissue displacement and impact force are important contributors to outcome after spinal cord contusion injury. Experimental Neurology. 196(1). 9–17. 74 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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