Maxim Turchan

623 total citations
27 papers, 390 citations indexed

About

Maxim Turchan is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Maxim Turchan has authored 27 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Neurology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Cognitive Neuroscience. Recurrent topics in Maxim Turchan's work include Parkinson's Disease Mechanisms and Treatments (15 papers), Neurological disorders and treatments (14 papers) and Autism Spectrum Disorder Research (5 papers). Maxim Turchan is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (15 papers), Neurological disorders and treatments (14 papers) and Autism Spectrum Disorder Research (5 papers). Maxim Turchan collaborates with scholars based in United States, Sweden and United Kingdom. Maxim Turchan's co-authors include David Charles, Mallory L. Hacker, Lauren E. Heusinkveld, Thomas L. Davis, Fenna T. Phibbs, Peter E. Konrad, Amanda Currie, Peter Hedera, Anna Lia Molinari and Kevin R. Cannard and has published in prestigious journals such as Neurology, Journal of the American Geriatrics Society and Alzheimer s & Dementia.

In The Last Decade

Maxim Turchan

24 papers receiving 381 citations

Peers

Maxim Turchan

NEURO

CMN

NEURO

PMH

Jonas Yeung China

Lyla Mourany United States

Carlo Alberto Defanti Italy

Nora Vanegas‐Arroyave United States

Ryo Sato Japan

Ignacio J. Posada Spain

Kerrie Schoffer Canada

Iain Mays Ireland

Christine D. Esper United States

Carla Passaniti Italy

Jonas Yeung China

Maxim Turchan

256 ×0.9

NEURO

78 ×0.7

CMN

30 ×0.5

72 ×1.5

NEURO

70 ×1.5

PMH

Citations per year, relative to Maxim Turchan Maxim Turchan (= 1×) peers Jonas Yeung

Countries citing papers authored by Maxim Turchan

Since Specialization

Citations

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

Fields of papers citing papers by Maxim Turchan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Turchan

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

All Works

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20 of 20 papers shown

Hacker, Mallory L., Michael G. Tramontana, Maxim Turchan, et al.. (2023). Long-term neuropsychological outcomes of deep brain stimulation in early-stage Parkinson's disease. Parkinsonism & Related Disorders. 113. 105479–105479. 3 indexed citations

Turchan, Maxim, et al.. (2023). Curriculum Innovations: Inspiring Neurology Residents to Pursue Fellowship Training in Movement Disorders. PubMed. 2(2). e200074–e200074. 1 indexed citations

Hacker, Mallory L., Maxim Turchan, Kevin R. Cannard, et al.. (2022). Eleven-Year Outcomes of Deep Brain Stimulation in Early-Stage Parkinson Disease. Neuromodulation Technology at the Neural Interface. 26(2). 451–458. 10 indexed citations

Hacker, Mallory L., Maxim Turchan, Thomas L. Davis, et al.. (2021). Early subthalamic nucleus deep brain stimulation in Parkinson’s disease reduces long-term medication costs. Clinical Neurology and Neurosurgery. 210. 106976–106976. 5 indexed citations

Hacker, Mallory L., Michael Putman, Chandler E. Gill, et al.. (2021). Long-Term Care Resident Awareness and Interest in Spasticity Treatments. Geriatrics. 6(1). 21–21.

Gill, Chandler E., Mallory L. Hacker, Maxim Turchan, et al.. (2020). Prevalence of Spasticity in Nursing Home Residents. Journal of the American Medical Directors Association. 21(8). 1157–1160. 7 indexed citations

Harper, Kelly, et al.. (2020). Vanderbilt University Medical Center Ambulatory Teleneurology COVID-19 Experience. Telemedicine Journal and e-Health. 27(6). 701–705. 8 indexed citations

Hacker, Mallory L., et al.. (2020). <p>A Simple Bedside Screening Tool for Spasticity Referral</p>. Clinical Interventions in Aging. Volume 15. 655–662. 4 indexed citations

Harper, Kelly, et al.. (2019). Teleneurology service provided via tablet technology: 3-year outcomes and physician satisfaction. Rural and Remote Health. 19(1). 4743–4743. 17 indexed citations

10.

Heusinkveld, Lauren E., Mallory L. Hacker, Maxim Turchan, Thomas L. Davis, & David Charles. (2018). Impact of Tremor on Patients With Early Stage Parkinson's Disease. Frontiers in Neurology. 9. 628–628. 31 indexed citations

11.

Gifford, Katherine A., Dandan Liu, Jennifer L. Thompson, et al.. (2018). The 12-Word Philadelphia Verbal Learning Test Performances in Older Adults: Brain MRI and Cerebrospinal Fluid Correlates and Regression-Based Normative Data. Dementia and Geriatric Cognitive Disorders Extra. 8(3). 476–491. 5 indexed citations

12.

Turchan, Maxim, Chandler E. Gill, Amanda Currie, et al.. (2018). Inter-rater reliability of a novel spasticity diagnostic algorithm. 3(3). 5. 1 indexed citations

13.

Wouwe, Nelleke C. van, Maxim Turchan, Christopher Tolleson, et al.. (2017). Motivational Sensitivities Linked to Impulsive Motor Errors in Parkinson’s Disease. Journal of the International Neuropsychological Society. 24(2). 128–138. 5 indexed citations

14.

Tolleson, Christopher, et al.. (2017). Parkinson’s Disease Subtypes Show Distinct Tradeoffs Between Response Initiation and Inhibition Latencies. Journal of the International Neuropsychological Society. 23(8). 665–674. 7 indexed citations

15.

Hacker, Mallory L., Maxim Turchan, Amanda Currie, et al.. (2017). Subthalamic Nucleus Deep Brain Stimulation in Early Stage Parkinson’s Disease Reduces the Risk of Polypharmacy: Five-Year Analysis (P5.012). Neurology. 88(16_supplement).

16.

Hacker, Mallory L., et al.. (2017). Subthalamic Nucleus Deep Brain Stimulation in Early Stage Parkinson’s Disease Is Not Associated with Increased Body Mass Index. Parkinson s Disease. 2017. 1–4. 7 indexed citations

17.

Heusinkveld, Lauren E., Mallory L. Hacker, Maxim Turchan, et al.. (2016). Patient Perspectives on Deep Brain Stimulation Clinical Research in Early Stage Parkinson’s Disease. Journal of Parkinson s Disease. 7(1). 89–94. 11 indexed citations

18.

Hacker, Mallory L., Amanda Currie, Anna Lia Molinari, et al.. (2016). Subthalamic Nucleus Deep Brain Stimulation May Reduce Medication Costs in Early Stage Parkinson’s Disease. Journal of Parkinson s Disease. 6(1). 125–131. 24 indexed citations

19.

Mock, Stephen, David J. Osborn, Elizabeth T. Brown, et al.. (2016). The Impact of Pallidal and Subthalamic Deep Brain Stimulation on Urologic Function in Parkinson’s Disease. Neuromodulation Technology at the Neural Interface. 19(7). 717–723. 31 indexed citations

20.

Hacker, Mallory L., James Tonascia, Maxim Turchan, et al.. (2015). Deep brain stimulation may reduce the relative risk of clinically important worsening in early stage Parkinson's disease. Parkinsonism & Related Disorders. 21(10). 1177–1183. 33 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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