Megan Torvell

1.0k total citations
12 papers, 541 citations indexed

About

Megan Torvell is a scholar working on Neurology, Physiology and Molecular Biology. According to data from OpenAlex, Megan Torvell has authored 12 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 6 papers in Physiology and 3 papers in Molecular Biology. Recurrent topics in Megan Torvell's work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Alzheimer's disease research and treatments (6 papers) and Barrier Structure and Function Studies (3 papers). Megan Torvell is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Alzheimer's disease research and treatments (6 papers) and Barrier Structure and Function Studies (3 papers). Megan Torvell collaborates with scholars based in United Kingdom, Canada and Australia. Megan Torvell's co-authors include B. Paul Morgan, Sarah M. Carpanini, David W. Hampton, Siddharthan Chandran, Abel Eraso‐Pichot, Elena Galea, Philip Hasel, Jamie McQueen, Sean McKay and Zoeb Jiwaji and has published in prestigious journals such as Nature Communications, Frontiers in Immunology and Brain Behavior and Immunity.

In The Last Decade

Megan Torvell

12 papers receiving 539 citations

Peers

Megan Torvell
Kenneth J. Colodner United States
Yalikun Suofu United States
Hey‐Kyeong Jeong South Korea
Rachel D. Kim United States
Erik Boddeke Netherlands
Ukpong B Eyo United States
L.-W. Fan United States
Kenneth J. Colodner United States
Megan Torvell
Citations per year, relative to Megan Torvell Megan Torvell (= 1×) peers Kenneth J. Colodner

Countries citing papers authored by Megan Torvell

Since Specialization
Citations

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

Fields of papers citing papers by Megan Torvell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan Torvell

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

All Works

12 of 12 papers shown
1.
Torvell, Megan, Sarah M. Carpanini, Nikoleta Daskoulidou, et al.. (2025). The schizophrenia-associated gene CSMD1 encodes a complement classical pathway inhibitor predominantly expressed by astrocytes and at synapses in mice and humans. Brain Behavior and Immunity. 127. 287–302. 2 indexed citations
2.
Daskoulidou, Nikoleta, Megan Torvell, Lewis M. Watkins, et al.. (2023). Complement receptor 1 is expressed on brain cells and in the human brain. Glia. 71(6). 1522–1535. 21 indexed citations
3.
Rossini, L, Cinzia Cagnoli, Emanuela Maderna, et al.. (2022). Dendritic spine loss in epileptogenic Type II focal cortical dysplasia: Role of enhanced classical complement pathway activation. Brain Pathology. 33(3). e13141–e13141. 12 indexed citations
4.
Carpanini, Sarah M., Megan Torvell, Ryan J. Bevan, et al.. (2022). Terminal complement pathway activation drives synaptic loss in Alzheimer’s disease models. Acta Neuropathologica Communications. 10(1). 99–99. 48 indexed citations
5.
Carpanini, Sarah M., Janet Harwood, Emily Baker, et al.. (2021). The Impact of Complement Genes on the Risk of Late-Onset Alzheimer’s Disease. Genes. 12(3). 443–443. 19 indexed citations
6.
Torvell, Megan, et al.. (2021). Novel Monoclonal Antibodies Against Mouse C1q: Characterisation and Development of a Quantitative ELISA for Mouse C1q. Molecular Neurobiology. 58(9). 4323–4336. 6 indexed citations
7.
Torvell, Megan, et al.. (2021). Genetic Insights into the Impact of Complement in Alzheimer’s Disease. Genes. 12(12). 1990–1990. 18 indexed citations
8.
Altmann, Thomas, Megan Torvell, Stephen Owens, et al.. (2020). Complement factor I deficiency. Neurology Neuroimmunology & Neuroinflammation. 7(3). 16 indexed citations
9.
Hampton, David W., Sandra Amor, David Story, et al.. (2020). HspB5 Activates a Neuroprotective Glial Cell Response in Experimental Tauopathy. Frontiers in Neuroscience. 14. 574–574. 8 indexed citations
10.
Torvell, Megan, David W. Hampton, Peter Connick, et al.. (2019). A single systemic inflammatory insult causes acute motor deficits and accelerates disease progression in a mouse model of human tauopathy. Alzheimer s & Dementia Translational Research & Clinical Interventions. 5(1). 579–591. 12 indexed citations
11.
Carpanini, Sarah M., Megan Torvell, & B. Paul Morgan. (2019). Therapeutic Inhibition of the Complement System in Diseases of the Central Nervous System. Frontiers in Immunology. 10. 362–362. 163 indexed citations
12.
Hasel, Philip, Owen Dando, Zoeb Jiwaji, et al.. (2017). Neurons and neuronal activity control gene expression in astrocytes to regulate their development and metabolism. Nature Communications. 8(1). 15132–15132. 216 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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