Kelly M. Hinkle

1.9k total citations
18 papers, 1.1k citations indexed

About

Kelly M. Hinkle is a scholar working on Neurology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kelly M. Hinkle has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 8 papers in Physiology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kelly M. Hinkle's work include Parkinson's Disease Mechanisms and Treatments (12 papers), Alzheimer's disease research and treatments (7 papers) and Neurological diseases and metabolism (5 papers). Kelly M. Hinkle is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (12 papers), Alzheimer's disease research and treatments (7 papers) and Neurological diseases and metabolism (5 papers). Kelly M. Hinkle collaborates with scholars based in United States, United Kingdom and Australia. Kelly M. Hinkle's co-authors include Heather L. Melrose, Matthew J. Farrer, Dennis W. Dickson, Owen A. Ross, Justus C. Dächsel, Sarah Lincoln, Caroline Kent, Mei Yue, Bahareh Behrouz and Joel E. Beevers and has published in prestigious journals such as Neurology, The Journal of Comparative Neurology and Biochemical Journal.

In The Last Decade

Kelly M. Hinkle

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kelly M. Hinkle United States	15	759	372	329	323	269	18	1.1k
Krisztina K. Johansen Norway	16	703 0.9×	301 0.8×	238 0.7×	247 0.8×	194 0.7×	24	933
Jennifer S. Montimurro United States	14	983 1.3×	231 0.6×	487 1.5×	396 1.2×	442 1.6×	16	1.4k
Cheryl Halter United States	13	1.0k 1.4×	268 0.7×	544 1.7×	422 1.3×	394 1.5×	18	1.4k
Michael X. Henderson United States	16	635 0.8×	425 1.1×	316 1.0×	293 0.9×	180 0.7×	28	1.1k
Lasse Pihlstrøm Norway	18	549 0.7×	222 0.6×	284 0.9×	310 1.0×	229 0.9×	49	904
Wanda L.H. Stirling United States	7	720 0.9×	386 1.0×	540 1.6×	286 0.9×	192 0.7×	8	1.1k
Shirley Yin-Yu Pang Hong Kong	15	645 0.8×	158 0.4×	252 0.8×	241 0.7×	166 0.6×	23	1.0k
Eleanna Kara United Kingdom	17	729 1.0×	352 0.9×	406 1.2×	322 1.0×	259 1.0×	25	1.1k
Edito Fabrizio Italy	10	1.1k 1.4×	153 0.4×	631 1.9×	225 0.7×	326 1.2×	10	1.2k
Reema Paudel United Kingdom	16	785 1.0×	445 1.2×	521 1.6×	401 1.2×	320 1.2×	20	1.4k

Countries citing papers authored by Kelly M. Hinkle

Since Specialization

Citations

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

Fields of papers citing papers by Kelly M. Hinkle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kelly M. Hinkle

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

All Works

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18 of 18 papers shown

1.

Boon, Baayla D.C., Sydney A. Labuzan, Billie J. Matchett, et al.. (2023). Retrospective Evaluation of Neuropathologic Proxies of the Minimal Atrophy Subtype Compared With Corticolimbic Alzheimer Disease Subtypes. Neurology. 101(14). e1412–e1423. 3 indexed citations

2.

Carlomagno, Yari, Mei Yue, Aishe Kurti, et al.. (2019). Enhanced phosphorylation of T153 in soluble tau is a defining biochemical feature of the A152T tau risk variant. Acta Neuropathologica Communications. 7(1). 10–10. 4 indexed citations

3.

Al‐Shaikh, Fadi S. Hanna, Ranjan Duara, Julia E. Crook, et al.. (2019). Selective Vulnerability of the Nucleus Basalis of Meynert Among Neuropathologic Subtypes of Alzheimer Disease. JAMA Neurology. 77(2). 225–225. 52 indexed citations

4.

Santos, Octavio A., Otto Pedraza, John A. Lucas, et al.. (2019). Ethnoracial differences in Alzheimer's disease from the FLorida Autopsied Multi‐Ethnic (FLAME) cohort. Alzheimer s & Dementia. 15(5). 635–643. 26 indexed citations

5.

Liesinger, Amanda M., Neill R. Graff‐Radford, Ranjan Duara, et al.. (2018). Sex and age interact to determine clinicopathologic differences in Alzheimer’s disease. Acta Neuropathologica. 136(6). 873–885. 74 indexed citations

6.

Yue, Mei, Kelly M. Hinkle, Paul Davies, et al.. (2015). Progressive dopaminergic alterations and mitochondrial abnormalities in LRRK2 G2019S knock-in mice. Neurobiology of Disease. 78. 172–195. 180 indexed citations

7.

Tacik, Paweł, Michael DeTure, Wen-Lang Lin, et al.. (2015). A novel tau mutation, p.K317N, causes globular glial tauopathy. Acta Neuropathologica. 130(2). 199–214. 39 indexed citations

8.

Tacik, Paweł, Michael DeTure, Kelly M. Hinkle, et al.. (2015). A Novel Tau Mutation in Exon 12, p.Q336H, Causes Hereditary Pick Disease. Journal of Neuropathology & Experimental Neurology. 74(11). 1042–1052. 25 indexed citations

9.

West, Andrew B., Rita M. Cowell, João Paulo Lima Daher, et al.. (2014). Differential LRRK2 expression in the cortex, striatum, and substantia nigra in transgenic and nontransgenic rodents. The Journal of Comparative Neurology. 522(11). 2 indexed citations

10.

West, Andrew B., Rita M. Cowell, João Paulo Lima Daher, et al.. (2014). Differential LRRK2 expression in the cortex, striatum, and substantia nigra in transgenic and nontransgenic rodents. The Journal of Comparative Neurology. 522(11). 2465–2480. 98 indexed citations

11.

Davies, Paul, Kelly M. Hinkle, Roxana Mesias, et al.. (2013). Comprehensive characterization and optimization of anti-LRRK2 (leucine-rich repeat kinase 2) monoclonal antibodies. Biochemical Journal. 453(1). 101–113. 68 indexed citations

12.

Hinkle, Kelly M., Mei Yue, Bahareh Behrouz, et al.. (2012). LRRK2 knockout mice have an intact dopaminergic system but display alterations in exploratory and motor co-ordination behaviors. Molecular Neurodegeneration. 7(1). 25–25. 147 indexed citations

13.

Dächsel, Justus C., Kenya Nishioka, Carles Vilariño‐Güell, et al.. (2010). Heterodimerization of Lrrk1–Lrrk2: Implications for LRRK2-associated Parkinson disease. Mechanisms of Ageing and Development. 131(3). 210–214. 19 indexed citations

14.

Lewis, Jada, Heather L. Melrose, David Bumcrot, et al.. (2008). In vivo silencing of alpha-synuclein using naked siRNA. Molecular Neurodegeneration. 3(1). 19–19. 112 indexed citations

15.

Dächsel, Justus C., Julie P. Taylor, Su San Mok, et al.. (2007). Identification of potential protein interactors of Lrrk2. Parkinsonism & Related Disorders. 13(7). 382–385. 65 indexed citations

16.

Melrose, Heather L., Caroline Kent, Julie P. Taylor, et al.. (2007). A comparative analysis of leucine-rich repeat kinase 2 (Lrrk2) expression in mouse brain and Lewy body disease. Neuroscience. 147(4). 1047–1058. 91 indexed citations

17.

Taylor, Julie P., Mary Hulihan, Jennifer M. Kachergus, et al.. (2007). Leucine-rich repeat kinase 1: a paralog of LRRK2 and a candidate gene for Parkinson’s disease. Neurogenetics. 8(2). 95–102. 31 indexed citations

18.

Dächsel, Justus C., Ignácio F. Mata, Owen A. Ross, et al.. (2006). Digenic parkinsonism: Investigation of the synergistic effects of PRKN and LRRK2. Neuroscience Letters. 410(2). 80–84. 37 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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