Matthew T. Goodus

649 total citations
13 papers, 479 citations indexed

About

Matthew T. Goodus is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Matthew T. Goodus has authored 13 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 3 papers in Epidemiology. Recurrent topics in Matthew T. Goodus's work include Alzheimer's disease research and treatments (3 papers), Spinal Cord Injury Research (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Matthew T. Goodus is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Spinal Cord Injury Research (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Matthew T. Goodus collaborates with scholars based in United States and India. Matthew T. Goodus's co-authors include Dana M. McTigue, Claudia H. Kawas, Elizabeth Head, Floyd Sarsoza, Kristin Kahle‐Wrobleski, Steven W. Levison, María M. Corrada, Ronald C. Kim, James B. Leverenz and Mihaela Nistor and has published in prestigious journals such as Journal of Neuroscience, Experimental Neurology and Neurobiology of Aging.

In The Last Decade

Matthew T. Goodus

13 papers receiving 472 citations

Peers

Matthew T. Goodus
Delphine Stephan France
Chuanxi Xiang United States
Qichao Wu China
Eric Milner United States
Yong‐Yue He United States
Eilam Palzur Israel
Sun Yeul Lee South Korea
M M Esiri United Kingdom
Sandra Zárate Argentina
Jerry M. Belsh United States
Delphine Stephan France
Matthew T. Goodus
Citations per year, relative to Matthew T. Goodus Matthew T. Goodus (= 1×) peers Delphine Stephan

Countries citing papers authored by Matthew T. Goodus

Since Specialization
Citations

This map shows the geographic impact of Matthew T. Goodus'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 Matthew T. Goodus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Goodus more than expected).

Fields of papers citing papers by Matthew T. Goodus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew T. Goodus. 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 Matthew T. Goodus. The network helps show where Matthew T. Goodus may publish in the future.

Co-authorship network of co-authors of Matthew T. Goodus

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

All Works

13 of 13 papers shown
1.
Goodus, Matthew T., Priyankar Dey, Jan M. Schwab, et al.. (2024). Spinal cord injury-induced metabolic impairment and steatohepatitis develops in non-obese rats and is exacerbated by premorbid obesity. Experimental Neurology. 379. 114847–114847. 2 indexed citations
2.
Goodus, Matthew T., Andrew D. Sauerbeck, Priyankar Dey, et al.. (2021). Liver inflammation at the time of spinal cord injury enhances intraspinal pathology, liver injury, metabolic syndrome and locomotor deficits. Experimental Neurology. 342. 113725–113725. 16 indexed citations
3.
Goodus, Matthew T. & Dana M. McTigue. (2019). Hepatic dysfunction after spinal cord injury: A vicious cycle of central and peripheral pathology?. Experimental Neurology. 325. 113160–113160. 26 indexed citations
4.
5.
Goodus, Matthew T., Andrew D. Sauerbeck, Phillip G. Popovich, Richard S. Bruno, & Dana M. McTigue. (2018). Dietary Green Tea Extract Prior to Spinal Cord Injury Prevents Hepatic Iron Overload but Does Not Improve Chronic Hepatic and Spinal Cord Pathology in Rats. Journal of Neurotrauma. 35(24). 2872–2882. 14 indexed citations
6.
Goodus, Matthew T., Nadine Kerr, Ruchika Talwar, et al.. (2015). Leukemia Inhibitory Factor Haplodeficiency Desynchronizes Glial Reactivity and Exacerbates Damage and Functional Deficits after a Concussive Brain Injury. Journal of Neurotrauma. 33(16). 1522–1534. 13 indexed citations
7.
Goodus, Matthew T., et al.. (2015). Mechanisms of Mouse Neural Precursor Expansion after Neonatal Hypoxia-Ischemia. Journal of Neuroscience. 35(23). 8855–8865. 35 indexed citations
8.
9.
Goodus, Matthew T., et al.. (2014). Neural Stem Cells in the Immature, but Not the Mature, Subventricular Zone Respond Robustly to Traumatic Brain Injury. Developmental Neuroscience. 37(1). 29–42. 35 indexed citations
10.
Pang, Kevin, Richard J. Servatius, Brian T. David, et al.. (2013). Toll-like receptor 9 deficiency impacts sensory and motor behaviors. Brain Behavior and Immunity. 32. 164–172. 25 indexed citations
11.
Head, Elizabeth, María M. Corrada, Kristin Kahle‐Wrobleski, et al.. (2007). Synaptic proteins, neuropathology and cognitive status in the oldest-old. Neurobiology of Aging. 30(7). 1125–1134. 105 indexed citations
12.
Berlau, Daniel J., Kristin Kahle‐Wrobleski, Elizabeth Head, et al.. (2007). Dissociation of neuropathologic findings and cognition: case report of an apolipoprotein E epsilon2/epsilon2 genotype.. PubMed. 64(8). 1193–6. 23 indexed citations
13.
Nistor, Mihaela, Mansi Parekh, Floyd Sarsoza, et al.. (2006). Alpha- and beta-secretase activity as a function of age and beta-amyloid in Down syndrome and normal brain. Neurobiology of Aging. 28(10). 1493–1506. 105 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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