Michael Namaka

1.1k total citations
36 papers, 895 citations indexed

About

Michael Namaka is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Michael Namaka has authored 36 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 8 papers in Physiology. Recurrent topics in Michael Namaka's work include Neurogenesis and neuroplasticity mechanisms (7 papers), Pain Mechanisms and Treatments (6 papers) and Nerve injury and regeneration (5 papers). Michael Namaka is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (7 papers), Pain Mechanisms and Treatments (6 papers) and Nerve injury and regeneration (5 papers). Michael Namaka collaborates with scholars based in Canada, China and United States. Michael Namaka's co-authors include Claudia Cortés, Jiming Kong, Crystal Acosta, Emma E. Frost, Wenjun Zhu, Ted M. Lakowski, Farhana Begum, Christine Leong, Surendiran Gangadaran and Youcai Deng and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Michael Namaka

35 papers receiving 882 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Namaka Canada 19 297 181 173 154 153 36 895
Pía M. Vidal Chile 17 278 0.9× 227 1.3× 105 0.6× 96 0.6× 147 1.0× 29 940
Denise Bessert United States 20 360 1.2× 220 1.2× 87 0.5× 356 2.3× 219 1.4× 37 1.1k
Ekaterina Savchenko Finland 15 254 0.9× 119 0.7× 128 0.7× 97 0.6× 207 1.4× 41 812
Wenyi Zhu China 15 473 1.6× 206 1.1× 110 0.6× 218 1.4× 282 1.8× 28 1.2k
Valerie Bracchi‐Ricard United States 18 346 1.2× 271 1.5× 247 1.4× 143 0.9× 384 2.5× 27 1.2k
Ruma Raha‐Chowdhury United Kingdom 21 303 1.0× 234 1.3× 123 0.7× 130 0.8× 181 1.2× 40 1.4k
Liying Zhang China 17 263 0.9× 122 0.7× 281 1.6× 122 0.8× 452 3.0× 36 1.2k
Nina Fainstein Israel 19 463 1.6× 184 1.0× 114 0.7× 418 2.7× 297 1.9× 37 1.1k
Sarina B. Elmariah United States 19 181 0.6× 314 1.7× 101 0.6× 180 1.2× 137 0.9× 42 1.1k

Countries citing papers authored by Michael Namaka

Since Specialization
Citations

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

Fields of papers citing papers by Michael Namaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Namaka

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Namaka. A scholar is included among the top collaborators of Michael Namaka 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 Michael Namaka. Michael Namaka 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.
Ethans, Karen, et al.. (2019). Therapeutic impact of orally administered cannabinoid oil extracts in an experimental autoimmune encephalomyelitis animal model of multiple sclerosis. Biochemical and Biophysical Research Communications. 516(2). 373–380. 14 indexed citations
2.
Wang, Fangjie, Meng Meng, Banghui Mo, et al.. (2018). Crosstalks between mTORC1 and mTORC2 variagate cytokine signaling to control NK maturation and effector function. Nature Communications. 9(1). 4874–4874. 91 indexed citations
3.
4.
Zhou, Ting, et al.. (2017). Implications of white matter damage in amyotrophic lateral sclerosis. Molecular Medicine Reports. 16(4). 4379–4392. 34 indexed citations
5.
Guo, Wei, Xiao Guan, Xiaodong Pan, et al.. (2016). Post-Natal Inhibition of NF-κB Activation Prevents Renal Damage Caused by Prenatal LPS Exposure. PLoS ONE. 11(4). e0153434–e0153434. 18 indexed citations
6.
Deng, Yafei, Qi Zhang, Xianhua Chen, et al.. (2016). Sustained elevation of NF-κB activity sensitizes offspring of maternal inflammation to hypertension via impairing PGC-1α recovery. Scientific Reports. 6(1). 32642–32642. 6 indexed citations
7.
Zhang, Qi, Yafei Deng, Wenjing Lai, et al.. (2016). Maternal inflammation activated ROS-p38 MAPK predisposes offspring to heart damages caused by isoproterenol via augmenting ROS generation. Scientific Reports. 6(1). 30146–30146. 33 indexed citations
8.
9.
Chen, Li, Lingli Yang, Xiaodong Hua, et al.. (2015). Combined use of spatial restraint stress and middle cerebral artery occlusion is a novel model of post-stroke depression in mice. Scientific Reports. 5(1). 16751–16751. 44 indexed citations
10.
Chen, Xingshu, Nanxin Huang, Michael Namaka, & Lan Xiao. (2015). Advancements in the Underlying Pathogenesis of Schizophrenia: Implications of DNA Methylation in Glial Cells. Frontiers in Cellular Neuroscience. 9. 451–451. 10 indexed citations
11.
Acosta, Crystal, et al.. (2014). Exploring the Role of Nerve Growth Factor in Multiple Sclerosis: Implications in Myelin Repair. CNS & Neurological Disorders - Drug Targets. 12(8). 1242–1256. 49 indexed citations
12.
Namaka, Michael. (2013). Treatment management of neuropathic pain. Journal of Neurology & Neurophysiology. 1 indexed citations
13.
Begum, Farhana, Wenjun Zhu, Claudia Cortés, Brian MacNeil, & Michael Namaka. (2013). Elevation of Tumor Necrosis Factor Alpha in Dorsal Root Ganglia and Spinal Cord is Associated with Neuroimmune Modulation of Pain in an Animal Model of Multiple Sclerosis. Journal of Neuroimmune Pharmacology. 8(3). 677–690. 31 indexed citations
14.
Namaka, Michael, et al.. (2011). Molecular mimicry and multiple sclerosis. Neural Regeneration Research. 6(17). 1322. 4 indexed citations
15.
Vora, Parvez, et al.. (2010). A novel transcriptional regulator of myelin gene expression: implications for neurodevelopmental disorders. Neuroreport. 21(14). 917–921. 22 indexed citations
16.
Melanson, Maria, Christine Leong, Emma E. Frost, et al.. (2010). Fatigue and Cognition in Patients with Relapsing Multiple Sclerosis Treated with Interferon Beta. International Journal of Neuroscience. 120(10). 631–640. 25 indexed citations
17.
Begum, Farhana, Wenjun Zhu, Michael Namaka, & Emma E. Frost. (2009). A novel decalcification method for adult rodent bone for histological analysis of peripheral–central nervous system connections. Journal of Neuroscience Methods. 187(1). 59–66. 18 indexed citations
18.
Namaka, Michael, et al.. (2008). Multiple Sclerosis: Etiology and Treatment Strategies. The Consultant Pharmacist. 23(11). 886–896. 11 indexed citations
19.
Gong, Yuewen, Hong Shen, David D. Eisenstat, et al.. (2008). Axotomy-induced up-regulation of tumor necrosis factor-alpha in the dorsal root ganglia. Neurological Research. 30(6). 623–631. 17 indexed citations
20.
Namaka, Michael, et al.. (2001). Neurogenesis in Postnatal Mouse Dorsal Root Ganglia. Experimental Neurology. 172(1). 60–69. 43 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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