Travis J. Cook

1.1k total citations · 1 hit paper
8 papers, 871 citations indexed

About

Travis J. Cook is a scholar working on Neurology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Travis J. Cook has authored 8 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in Travis J. Cook's work include Parkinson's Disease Mechanisms and Treatments (5 papers), Alzheimer's disease research and treatments (3 papers) and Conducting polymers and applications (1 paper). Travis J. Cook is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (5 papers), Alzheimer's disease research and treatments (3 papers) and Conducting polymers and applications (1 paper). Travis J. Cook collaborates with scholars based in United States, China and Slovakia. Travis J. Cook's co-authors include Jing Zhang, Min Shi, Cyrus P. Zabetian, Elaine R. Peskind, Carmen Ginghină, William A. Banks, Kristin M. Bullock, Patrick Aro, Douglas Galasko and Joseph F. Quinn and has published in prestigious journals such as Scientific Reports, American Journal Of Pathology and Acta Neuropathologica.

In The Last Decade

Travis J. Cook

8 papers receiving 867 citations

Hit Papers

Plasma exosomal α-synuclein is likely CNS-derived and inc... 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Travis J. Cook United States 7 511 343 213 194 134 8 871
Patrick Aro United States 14 605 1.2× 406 1.2× 246 1.2× 223 1.1× 245 1.8× 14 1.1k
Michael J. Hipp United States 9 518 1.0× 200 0.6× 137 0.6× 173 0.9× 107 0.8× 12 775
Wen-Lang Lin United States 6 501 1.0× 216 0.6× 83 0.4× 358 1.8× 153 1.1× 8 820
Lifu Sheng China 11 377 0.7× 170 0.5× 146 0.7× 122 0.6× 111 0.8× 11 635
Chris McKinnon United Kingdom 11 457 0.9× 188 0.5× 133 0.6× 76 0.4× 111 0.8× 17 873
Maria Ntzouni Sweden 8 547 1.1× 461 1.3× 195 0.9× 159 0.8× 288 2.1× 9 1.1k
Sudad Saman United States 3 621 1.2× 96 0.3× 215 1.0× 226 1.2× 361 2.7× 3 868
Katerina Melachroinou Greece 9 581 1.1× 581 1.7× 226 1.1× 159 0.8× 305 2.3× 13 1.1k
Edoardo Bistaffa Italy 14 437 0.9× 246 0.7× 215 1.0× 64 0.3× 248 1.9× 27 730
Margaret Wong United States 14 797 1.6× 563 1.6× 110 0.5× 41 0.2× 140 1.0× 27 1.3k

Countries citing papers authored by Travis J. Cook

Since Specialization
Citations

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

Fields of papers citing papers by Travis J. Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Travis J. Cook

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

All Works

8 of 8 papers shown
1.
Mohar, Isaac, et al.. (2019). Critical review of the evidence for a causal association between exposure to asbestos and esophageal cancer. Critical Reviews in Toxicology. 49(7). 597–613. 1 indexed citations
2.
Shi, Min, Andrej Kováč, Ané Korff, et al.. (2016). CNS tau efflux via exosomes is likely increased in Parkinson's disease but not in Alzheimer's disease. Alzheimer s & Dementia. 12(11). 1125–1131. 170 indexed citations
3.
Cook, Travis J., Jake G. Hoekstra, David L. Eaton, & Jing Zhang. (2015). Mortalin is Expressed by Astrocytes and Decreased in the Midbrain of Parkinson's Disease Patients. Brain Pathology. 26(1). 75–81. 18 indexed citations
4.
Nielsen, Susan Searles, Harvey Checkoway, Jing Zhang, et al.. (2014). Blood α-synuclein in agricultural pesticide handlers in central Washington State. Environmental Research. 136. 75–81. 8 indexed citations
5.
Hoekstra, Jake G., Travis J. Cook, Tessandra Stewart, et al.. (2014). Astrocytic Dynamin-Like Protein 1 Regulates Neuronal Protection against Excitotoxicity in Parkinson Disease. American Journal Of Pathology. 185(2). 536–549. 25 indexed citations
6.
Shi, Min, Changqin Liu, Travis J. Cook, et al.. (2014). Plasma exosomal α-synuclein is likely CNS-derived and increased in Parkinson’s disease. Acta Neuropathologica. 128(5). 639–650. 522 indexed citations breakdown →
7.
Lin, Xiangmin, Travis J. Cook, Cyrus P. Zabetian, et al.. (2012). DJ-1 isoforms in whole blood as potential biomarkers of Parkinson disease. Scientific Reports. 2(1). 954–954. 85 indexed citations
8.
Wang, Jian, Jake G. Hoekstra, Chuantao Zuo, Travis J. Cook, & Jing Zhang. (2012). Biomarkers of Parkinson's disease: current status and future perspectives. Drug Discovery Today. 18(3-4). 155–162. 42 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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