Travis B. Lewis

612 total citations
12 papers, 462 citations indexed

About

Travis B. Lewis is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Travis B. Lewis has authored 12 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 4 papers in Neurology and 3 papers in Molecular Biology. Recurrent topics in Travis B. Lewis's work include Parkinson's Disease Mechanisms and Treatments (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and HIV Research and Treatment (2 papers). Travis B. Lewis is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and HIV Research and Treatment (2 papers). Travis B. Lewis collaborates with scholars based in United States and France. Travis B. Lewis's co-authors include Howard E. Gendelman, R. Lee Mosley, Christopher J. Destache, Eric J. Benner, Santhi Gorantla, Serge Przedborski, Vernice Jackson‐Lewis, Steven R. Green, Huangui Xiong and Jialin Zheng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Travis B. Lewis

12 papers receiving 456 citations

Peers

Travis B. Lewis
Nora Abduljawad United States
Brigid K. Jensen United States
Jeremy Hill United States
Barry J. Lewis United Kingdom
S. Limonta Netherlands
Kevin Wojta United States
Aaron M. Williams United States
Nora Abduljawad United States
Travis B. Lewis
Citations per year, relative to Travis B. Lewis Travis B. Lewis (= 1×) peers Nora Abduljawad

Countries citing papers authored by Travis B. Lewis

Since Specialization
Citations

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

Fields of papers citing papers by Travis B. Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis B. Lewis. 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 Travis B. Lewis. The network helps show where Travis B. Lewis may publish in the future.

Co-authorship network of co-authors of Travis B. Lewis

This figure shows the co-authorship network connecting the top 25 collaborators of Travis B. Lewis. A scholar is included among the top collaborators of Travis B. Lewis 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 Travis B. Lewis. Travis B. Lewis 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.
Lewis, Travis B., et al.. (2022). Listen to Your Doctor: Examining the Judicialization of Student Conduct Administration Through the Lens of Physicians’ Medical Malpractice Stress. College student affairs journal. 40(1). 32–48. 1 indexed citations
2.
Creus‐Muncunill, Jordi, et al.. (2021). Striatal Cholinergic Dysregulation after Neonatal Decrease in X‐Linked Dystonia Parkinsonism‐Related TAF1 Isoforms. Movement Disorders. 36(12). 2780–2794. 10 indexed citations
3.
Lutes, Christopher C., et al.. (2021). Temporal Variability in an Industrial Building—Time Series and Machine Learning Analysis. Groundwater Monitoring & Remediation. 41(2). 87–98. 2 indexed citations
4.
Lewis, Travis B., Pablo A. García-Chevesich, T. R. Wildeman, & Jonathan O. Sharp. (2020). Changes in surface water quality from small-scale gold mining operations in the Surinamean rainforest. Toxicological & Environmental Chemistry Reviews. 102(7-8). 334–355. 8 indexed citations
5.
Nasrallah, MacLean P., Ilya M. Nasrallah, Margaret Johnson, et al.. (2017). 19‐Year‐Old Male with Headaches and a Possible Seizure. Brain Pathology. 27(4). 557–558. 2 indexed citations
6.
Lewis, Travis B., Joel N. Glasgow, Ashley S. Harms, David G. Standaert, & David T. Curiel. (2014). Fiber-Modified Adenovirus for Central Nervous System Parkinson’s Disease Gene Therapy. Viruses. 6(8). 3293–3310. 11 indexed citations
8.
Lewis, Travis B. & David G. Standaert. (2007). Design of clinical trials of gene therapy in Parkinson disease. Experimental Neurology. 209(1). 41–47. 11 indexed citations
9.
Boska, Michael D., Travis B. Lewis, Christopher J. Destache, et al.. (2005). Quantitative1H Magnetic Resonance Spectroscopic Imaging Determines Therapeutic Immunization Efficacy in an Animal Model of Parkinson's Disease. Journal of Neuroscience. 25(7). 1691–1700. 52 indexed citations
10.
Boska, Michael D., R. Lee Mosley, Jay A. Nelson, et al.. (2004). Advances in Neuroimaging for HIV-1 Associated Neurological Dysfunction: Clues to the Diagnosis, Pathogenesis and Therapeutic Monitoring. Current HIV Research. 2(1). 61–78. 29 indexed citations
11.
Benner, Eric J., R. Lee Mosley, Christopher J. Destache, et al.. (2004). Therapeutic immunization protects dopaminergic neurons in a mouse model of Parkinson's disease. Proceedings of the National Academy of Sciences. 101(25). 9435–9440. 254 indexed citations
12.
Xiong, Huangui, et al.. (2000). HIV-1 infected mononuclear phagocyte secretory products affect neuronal physiology leading to cellular demise: relevance for HIV-1-associated dementia.. PubMed. 6 Suppl 1. S14–23. 67 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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