Marisa DiMarzio

544 total citations
38 papers, 315 citations indexed

About

Marisa DiMarzio is a scholar working on Pharmacology, Anesthesiology and Pain Medicine and Neurology. According to data from OpenAlex, Marisa DiMarzio has authored 38 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pharmacology, 20 papers in Anesthesiology and Pain Medicine and 18 papers in Neurology. Recurrent topics in Marisa DiMarzio's work include Musculoskeletal pain and rehabilitation (20 papers), Pain Management and Treatment (19 papers) and Neurological disorders and treatments (14 papers). Marisa DiMarzio is often cited by papers focused on Musculoskeletal pain and rehabilitation (20 papers), Pain Management and Treatment (19 papers) and Neurological disorders and treatments (14 papers). Marisa DiMarzio collaborates with scholars based in United States, India and Canada. Marisa DiMarzio's co-authors include Julie G. Pilitsis, Julia Prusik, Ileana Hancu, Jennifer Durphy, Radhika Madhavan, Eric Fiveland, Michael D. Staudt, Era Hanspal, Vishad Sukul and Tanweer Rashid and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Neurophysiology and Journal of neurosurgery.

In The Last Decade

Marisa DiMarzio

34 papers receiving 313 citations

Peers

Marisa DiMarzio

NEURO

APM

RNMI

PHARM

CMN

Keith W. MacDougall Canada

Julia Prusik United States

Sarah K. Bourne United States

Edvin Zekaj Italy

Jenna M. Reeves Australia

J.‐P. Lefaucheur France

Aditya Pancholi Canada

Sarah Love‐Jones United Kingdom

Diego Toledo Reis Mendes Fernandes Brazil

Gonzalo J. Revuelta United States

Keith W. MacDougall Canada

Marisa DiMarzio

134 ×0.7

NEURO

64 ×0.8

APM

42 ×0.6

RNMI

45 ×0.6

PHARM

138 ×2.0

CMN

Citations per year, relative to Marisa DiMarzio Marisa DiMarzio (= 1×) peers Keith W. MacDougall

Countries citing papers authored by Marisa DiMarzio

Since Specialization

Citations

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

Fields of papers citing papers by Marisa DiMarzio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marisa DiMarzio

This figure shows the co-authorship network connecting the top 25 collaborators of Marisa DiMarzio. A scholar is included among the top collaborators of Marisa DiMarzio 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 Marisa DiMarzio. Marisa DiMarzio 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

DiMarzio, Marisa, et al.. (2024). ID: 338645 Mechanisms of auricular acupuncture in neuromodulation. Neuromodulation Technology at the Neural Interface. 27(7). S104–S104.

Goudman, Lisa, et al.. (2024). Prevalence of pain phenotypes and co-morbidities of chronic pain in Parkinson’s Disease. Clinical Neurology and Neurosurgery. 246. 108563–108563. 1 indexed citations

DiMarzio, Marisa, et al.. (2024). Hip and waist circumference correlations with demographic factors and pain intensity in patients with chronic pain. Pain Management. 14(8). 421–429. 1 indexed citations

Telkes, Ilknur, Marisa DiMarzio, Tessa Harland, et al.. (2024). Correlating Evoked Electromyography and Anatomic Factors During Spinal Cord Stimulation Implantation With Short-Term Outcomes. Neuromodulation Technology at the Neural Interface. 27(8). 1470–1478.

Yeo, Desmond, et al.. (2023). MR thermometry imaging for low intensity focused ultrasound modulation of spinal nervous tissue. Magnetic Resonance Imaging. 101. 35–39. 5 indexed citations

Harland, Tessa, et al.. (2022). A Pilot Study Comparing Algorithmic Adaptive Conventional Stimulation with High-Dose Stimulation in Chronic Pain Patients. World Neurosurgery. 167. e871–e876.

Williams, Michelle, et al.. (2021). Can dogs and cats really help our spinal cord stimulation patients?. Clinical Neurology and Neurosurgery. 208. 106831–106831. 1 indexed citations

DiMarzio, Marisa, et al.. (2021). Association of Outcomes of Spinal Cord Stimulation for Chronic Low Back Pain and Psoas Measurements Based on Size of Iliopsoas Muscles. Neuromodulation Technology at the Neural Interface. 25(1). 121–127. 3 indexed citations

Olmsted, Zachary T., et al.. (2021). Recommendations for Neuromodulation in Diabetic Neuropathic Pain. SHILAP Revista de lepidopterología. 2. 726308–726308. 4 indexed citations

10.

DiMarzio, Marisa, et al.. (2021). Age as an Independent Predictor of Adult Spinal Cord Stimulation Pain Outcomes. Stereotactic and Functional Neurosurgery. 100(1). 1–7. 5 indexed citations

11.

Harland, Tessa, et al.. (2020). Craniofacial Peripheral Nerve Stimulation: Analysis of a Single Institution Series. Neuromodulation Technology at the Neural Interface. 23(6). 805–811. 5 indexed citations

12.

Staudt, Michael D., Shrey Patel, Marisa DiMarzio, et al.. (2020). Efficacy of Simultaneous Usage of Spinal Cord Stimulation and Intrathecal Therapy for Nonmalignant Chronic Neuropathic Pain. World Neurosurgery. 143. e442–e449. 9 indexed citations

13.

DiMarzio, Marisa, Radhika Madhavan, Suresh Joel, et al.. (2020). Use of Functional Magnetic Resonance Imaging to Assess How Motor Phenotypes of Parkinson’s Disease Respond to Deep Brain Stimulation. Neuromodulation Technology at the Neural Interface. 23(4). 515–524. 15 indexed citations

14.

Feustel, Paul J., et al.. (2020). Correlation Between Aspects of Perceived Patient Loneliness and Spinal Cord Stimulation Outcomes. Neuromodulation Technology at the Neural Interface. 24(1). 150–155. 6 indexed citations

15.

DiMarzio, Marisa, et al.. (2020). Addressing Parkinson Disease–Related Pain with Deep Brain Stimulation. World Neurosurgery. 135. 381–382. 4 indexed citations

16.

Feustel, Paul J., et al.. (2020). Correlations Between Family History of Psychiatric Illnesses and Outcomes of Spinal Cord Stimulation. Neuromodulation Technology at the Neural Interface. 23(5). 667–672. 4 indexed citations

17.

DiMarzio, Marisa, Michael D. Staudt, Jennifer Durphy, et al.. (2020). Effect of Directional Deep Brain Stimulation on Sensory Thresholds in Parkinson’s Disease. Frontiers in Human Neuroscience. 14. 217–217. 6 indexed citations

18.

Bhusal, Bhumi, Bach T. Nguyen, Behzad Elahi, et al.. (2020). Effect of Device Configuration and Patient's Body Composition on the RF Heating and Nonsusceptibility Artifact of Deep Brain Stimulation Implants During MRI at 1.5T and 3T. Journal of Magnetic Resonance Imaging. 53(2). 599–610. 36 indexed citations

19.

DiMarzio, Marisa, et al.. (2018). Duloxetine Improves Spinal Cord Stimulation Outcomes for Chronic Pain. Neuromodulation Technology at the Neural Interface. 22(2). 215–218. 14 indexed citations

20.

DiMarzio, Marisa, Julie G. Pilitsis, Lucy Gee, et al.. (2018). King’s Parkinson’s Disease Pain Scale for Assessment of Pain Relief Following Deep Brain Stimulation for Parkinson’s Disease. Neuromodulation Technology at the Neural Interface. 21(6). 617–622. 19 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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