Kaela Kelly

718 total citations
10 papers, 537 citations indexed

About

Kaela Kelly is a scholar working on Neurology, Molecular Biology and Physiology. According to data from OpenAlex, Kaela Kelly has authored 10 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 4 papers in Molecular Biology and 2 papers in Physiology. Recurrent topics in Kaela Kelly's work include Parkinson's Disease Mechanisms and Treatments (8 papers), Neurological disorders and treatments (3 papers) and Plant Gene Expression Analysis (2 papers). Kaela Kelly is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (8 papers), Neurological disorders and treatments (3 papers) and Plant Gene Expression Analysis (2 papers). Kaela Kelly collaborates with scholars based in United States, France and Switzerland. Kaela Kelly's co-authors include Todd C. Brady, Christine M. Havrilla, Ed Levin, Andrew B. West, Elpida Tsika, Nathan Levine, Pascal Barnéoud, Sylviane Boularand, Shijie Wang and Darren J. Moore and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Brain Research and Environmental Health Perspectives.

In The Last Decade

Kaela Kelly

10 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaela Kelly United States 8 212 122 113 71 66 10 537
Todd C. Brady United States 11 228 1.1× 22 0.2× 148 1.3× 74 1.0× 73 1.1× 21 721
Lívea Fujita Barbosa Brazil 6 196 0.9× 42 0.3× 199 1.8× 35 0.5× 14 0.2× 7 603
Samantha Hughes Netherlands 13 105 0.5× 23 0.2× 256 2.3× 43 0.6× 40 0.6× 27 542
François Rodius France 16 357 1.7× 26 0.2× 274 2.4× 14 0.2× 98 1.5× 25 719
Madalina Andreea Robea Romania 10 154 0.7× 15 0.1× 48 0.4× 50 0.7× 17 0.3× 21 366
Patric Amcoff Sweden 11 152 0.7× 41 0.3× 107 0.9× 63 0.9× 18 0.3× 19 557
Jinghua Zhou China 13 123 0.6× 43 0.4× 142 1.3× 133 1.9× 15 0.2× 25 510
Laura Roesler Nery Brazil 11 94 0.4× 17 0.1× 124 1.1× 32 0.5× 14 0.2× 13 493
Márcia Longaray Garcia Brazil 6 242 1.1× 8 0.1× 71 0.6× 41 0.6× 63 1.0× 6 544
Thomas Merritt Canada 20 131 0.6× 12 0.1× 411 3.6× 156 2.2× 22 0.3× 46 1.1k

Countries citing papers authored by Kaela Kelly

Since Specialization
Citations

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

Fields of papers citing papers by Kaela Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaela Kelly

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

All Works

10 of 10 papers shown
1.
Sokratian, Arpine, Daniel J. Apicco, Christina M. Stanhope, et al.. (2022). Evaluation of ABT-888 in the amelioration of α-synuclein fibril-induced neurodegeneration. Brain Communications. 4(2). fcac042–fcac042. 3 indexed citations
2.
Fernández, Belén, Jillian H. Kluss, Kaela Kelly, et al.. (2022). Evaluation of Current Methods to Detect Cellular Leucine-Rich Repeat Kinase 2 (LRRK2) Kinase Activity. Journal of Parkinson s Disease. 12(5). 1423–1447. 10 indexed citations
3.
Singh, Vijay P., Kaela Kelly, Edward S. Boyden, et al.. (2021). Inhibition of LRRK2 kinase activity promotes anterograde axonal transport and presynaptic targeting of α-synuclein. Acta Neuropathologica Communications. 9(1). 180–180. 20 indexed citations
4.
Kelly, Kaela, et al.. (2021). Genetic background influences LRRK2-mediated Rab phosphorylation in the rat brain. Brain Research. 1759. 147372–147372. 7 indexed citations
5.
Sokratian, Arpine, Kaela Kelly, Nicole Bryant, et al.. (2021). Heterogeneity in α-synuclein fibril activity correlates to disease phenotypes in Lewy body dementia. Acta Neuropathologica. 141(4). 547–564. 25 indexed citations
6.
Tsika, Elpida, Kaela Kelly, Nathan Levine, et al.. (2020). Dopaminergic neurodegeneration induced by Parkinson's disease-linked G2019S LRRK2 is dependent on kinase and GTPase activity. Proceedings of the National Academy of Sciences. 117(29). 17296–17307. 43 indexed citations
7.
Wang, Shijie, Kaela Kelly, Jonathan M. Brotchie, James B. Koprich, & Andrew B. West. (2020). Exosome markers of LRRK2 kinase inhibition. npj Parkinson s Disease. 6(1). 32–32. 14 indexed citations
8.
Kelly, Kaela & Andrew B. West. (2020). Pharmacodynamic Biomarkers for Emerging LRRK2 Therapeutics. Frontiers in Neuroscience. 14. 807–807. 13 indexed citations
9.
Kelly, Kaela, Shijie Wang, Ravindra Boddu, et al.. (2018). The G2019S mutation in LRRK2 imparts resiliency to kinase inhibition. Experimental Neurology. 309. 1–13. 30 indexed citations
10.
Kelly, Kaela, et al.. (1998). Oxidative stress in toxicology: established mammalian and emerging piscine model systems.. Environmental Health Perspectives. 106(7). 375–384. 372 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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