Drew S. Kern

1.9k total citations
57 papers, 942 citations indexed

About

Drew S. Kern is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Drew S. Kern has authored 57 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Neurology, 18 papers in Cellular and Molecular Neuroscience and 7 papers in Cognitive Neuroscience. Recurrent topics in Drew S. Kern's work include Neurological disorders and treatments (38 papers), Parkinson's Disease Mechanisms and Treatments (36 papers) and Genetic Neurodegenerative Diseases (12 papers). Drew S. Kern is often cited by papers focused on Neurological disorders and treatments (38 papers), Parkinson's Disease Mechanisms and Treatments (36 papers) and Genetic Neurodegenerative Diseases (12 papers). Drew S. Kern collaborates with scholars based in United States, Canada and Italy. Drew S. Kern's co-authors include Kimberly B. Bjugstad, Melissa J. Mahoney, Kyle J. Lampe, John A. Thompson, Roger M. Enoka, John G. Semmler, Rajeev Kumar, John R. Sladek, Steven Ojemann and D. Eugene Redmond and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Drew S. Kern

48 papers receiving 933 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Drew S. Kern United States 16 413 313 196 137 95 57 942
Rafael Rodríguez‐Rojas Spain 22 811 2.0× 404 1.3× 366 1.9× 193 1.4× 49 0.5× 70 1.5k
Tanguy Marqueste France 22 106 0.3× 441 1.4× 320 1.6× 76 0.6× 197 2.1× 74 1.5k
H. Isaac Chen United States 19 141 0.3× 419 1.3× 264 1.3× 220 1.6× 41 0.4× 41 986
Enrico Marani Netherlands 20 173 0.4× 327 1.0× 129 0.7× 110 0.8× 92 1.0× 51 1.1k
Thomas R. Barber United Kingdom 16 619 1.5× 207 0.7× 57 0.3× 212 1.5× 112 1.2× 23 991
Travis S. Tierney United States 19 573 1.4× 384 1.2× 91 0.5× 203 1.5× 69 0.7× 37 1.1k
Karl Sillay United States 16 441 1.1× 459 1.5× 119 0.6× 215 1.6× 63 0.7× 30 856
Eduardo Martin Moraud Switzerland 17 247 0.6× 504 1.6× 385 2.0× 285 2.1× 37 0.4× 23 1.3k
David A. Mahns Australia 23 122 0.3× 266 0.8× 226 1.2× 397 2.9× 262 2.8× 75 1.5k
Yong‐An Chung South Korea 19 303 0.7× 176 0.6× 249 1.3× 195 1.4× 110 1.2× 82 1.1k

Countries citing papers authored by Drew S. Kern

Since Specialization
Citations

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

Fields of papers citing papers by Drew S. Kern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Drew S. Kern. 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 Drew S. Kern. The network helps show where Drew S. Kern may publish in the future.

Co-authorship network of co-authors of Drew S. Kern

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

All Works

20 of 20 papers shown
1.
Antonini, Angelo, Bruno Bergmans, Drew S. Kern, et al.. (2025). Foslevodopa/Foscarbidopa in Younger Patients Earlier Within Advanced Parkinson’s Disease: Post Hoc Analysis of a Randomized Trial. Neurology and Therapy. 15(1). 309–324.
2.
3.
Kramer, Daniel R., et al.. (2024). Comparison of beta peak detection algorithms for data-driven deep brain stimulation programming strategies in Parkinson’s disease. npj Parkinson s Disease. 10(1). 150–150. 1 indexed citations
4.
Sakai, Joseph T., Jody Tanabe, Morgan E. Zipperly, et al.. (2024). Deep brain stimulation for the treatment of substance use disorders: a promising approach requiring caution. Frontiers in Psychiatry. 15. 1435109–1435109.
5.
Kern, Drew S., Mitra Afshari, Allison T. Connolly, et al.. (2023). Racial disparities in access to DBS: results of a real-world U.S. claims data analysis. Frontiers in Neurology. 14. 1233684–1233684. 3 indexed citations
6.
Ojemann, Steven, et al.. (2023). Pilot Study to Investigate the Use of In-Clinic Sensing to Identify Optimal Stimulation Parameters for Deep Brain Stimulation Therapy in Parkinson’s Disease. Neuromodulation Technology at the Neural Interface. 27(3). 509–519. 10 indexed citations
7.
Kern, Drew S., et al.. (2023). Ethical considerations in closed loop deep brain stimulation. 3. 8–15. 3 indexed citations
8.
McQueen, R. Brett, et al.. (2022). Cost and Return on Investment of a Team-Based Palliative Care Program for Parkinson Disease. Neurology Clinical Practice. 12(6). 429–437.
9.
Marsili, Luca, Elizabeth G. Keeling, Maria Fiorella Contarino, et al.. (2022). Functional Movement Disorders and Deep Brain Stimulation: A Multi‐Center Study. Movement Disorders Clinical Practice. 10(1). 94–100. 6 indexed citations
10.
11.
Deuel, Lisa M., et al.. (2021). Sex Disparities in the Utilization of Deep Brain Stimulation for Essential Tremor and Parkinson Disease (4102). Neurology. 96(15_supplement). 1 indexed citations
12.
Feuerstein, Jeanne, et al.. (2021). Deep Brain Stimulation of the Ventral Intermediate Nucleus of the Thalamus in Writer’s Cramp: A Case Report. Tremor and Other Hyperkinetic Movements. 11(1). 46–46. 3 indexed citations
13.
Kushida, Clete A., et al.. (2021). Basal Ganglia Local Field Potentials as a Potential Biomarker for Sleep Disturbance in Parkinson's Disease. Frontiers in Neurology. 12. 765203–765203. 16 indexed citations
14.
Pang, Yan, et al.. (2020). Automatic detection and quantification of hand movements toward development of an objective assessment of tremor and bradykinesia in Parkinson's disease. Journal of Neuroscience Methods. 333. 108576–108576. 37 indexed citations
15.
Fullard, Michelle, Dylan Thibault, Susan Foster, et al.. (2017). Sex disparities in health and health care utilization after Parkinson diagnosis: Rethinking PD associated disability. Parkinsonism & Related Disorders. 48. 45–50. 18 indexed citations
16.
Kern, Drew S., Jean Tsai, Nuri F. Ince, et al.. (2016). REM sleep behaviour disorder: prodromal and mechanistic insights for Parkinson's disease. Journal of Neurology Neurosurgery & Psychiatry. 88(5). 445–451. 33 indexed citations
17.
Bockmeyer, Clemens L., Drew S. Kern, Svjetlana Lovric, et al.. (2012). Arteriolar vascular smooth muscle cell differentiation in benign nephrosclerosis. Nephrology Dialysis Transplantation. 27(9). 3493–3501. 11 indexed citations
18.
Bjugstad, Kimberly B., Kyle J. Lampe, Drew S. Kern, & Melissa J. Mahoney. (2010). Biocompatibility of poly(ethylene glycol)‐based hydrogels in the brain: An analysis of the glial response across space and time. Journal of Biomedical Materials Research Part A. 95A(1). 79–91. 98 indexed citations
19.
Kern, Drew S. & Rajeev Kumar. (2007). Deep Brain Stimulation. The Neurologist. 13(5). 237–252. 63 indexed citations
20.
Eckenstein, F., et al.. (2006). Neuronal vulnerability in transgenic mice expressing an inducible dominant-negative FGF receptor. Experimental Neurology. 198(2). 338–349. 8 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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