Marijean Buhse

647 total citations
36 papers, 486 citations indexed

About

Marijean Buhse is a scholar working on Pathology and Forensic Medicine, Neurology and Neurology. According to data from OpenAlex, Marijean Buhse has authored 36 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pathology and Forensic Medicine, 7 papers in Neurology and 4 papers in Neurology. Recurrent topics in Marijean Buhse's work include Multiple Sclerosis Research Studies (25 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Retinal Development and Disorders (3 papers). Marijean Buhse is often cited by papers focused on Multiple Sclerosis Research Studies (25 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Retinal Development and Disorders (3 papers). Marijean Buhse collaborates with scholars based in United States, Israel and Australia. Marijean Buhse's co-authors include Mark Gudesblatt, Jeffrey Wilken, Daniel Golan, Glen M. Doniger, Lori Fafard, Idit Lavi, Thomas J. Covey, Robert C. Sergott, Iris‐Katharina Penner and Robert L Kane and has published in prestigious journals such as Neurology, Clinical Neurophysiology and Journal of Neuroimmunology.

In The Last Decade

Marijean Buhse

33 papers receiving 471 citations

Peers

Marijean Buhse
Martina Borghi Italy
Rosa E. Boeschoten Netherlands
Sabina Cilia Italy
Debra Frankel United States
Narineh Hartoonian United States
Amy B. Sullivan United States
Sheldon Levy United States
Emma H. Collette Netherlands
Marla A. Shawaryn United States
Julia M. Balto United States
Martina Borghi Italy
Marijean Buhse
Citations per year, relative to Marijean Buhse Marijean Buhse (= 1×) peers Martina Borghi

Countries citing papers authored by Marijean Buhse

Since Specialization
Citations

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

Fields of papers citing papers by Marijean Buhse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marijean Buhse

This figure shows the co-authorship network connecting the top 25 collaborators of Marijean Buhse. A scholar is included among the top collaborators of Marijean Buhse 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 Marijean Buhse. Marijean Buhse 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.
Krieger, Stephen, Marijean Buhse, Diana M. Sima, et al.. (2024). Evaluating the effect of dimethyl fumarate on subclinical biomarkers in a real-world patient cohort. Journal of Neuroimmunology. 393. 578397–578397. 1 indexed citations
2.
Golan, Daniel, et al.. (2024). Polysomnography parameters in a large cohort of people with multiple sclerosis. Sleep Medicine. 121. 236–240. 2 indexed citations
3.
Bogaardt, Hans, Daniel Golan, Jeffrey Wilken, et al.. (2024). Exploring the relationship between manual dexterity and cognition in people with multiple sclerosis: 9-hole peg and multiple cognitive functions. Multiple Sclerosis and Related Disorders. 88. 105696–105696. 4 indexed citations
4.
Attarian, Hrayr, Marijean Buhse, Daniel Golan, et al.. (2023). Multiple Sclerosis, Fatigue, Expanded Disability Status Scale: A Cross-Sectional Exploration of Sleep Efficiency and Quantitative Sleep Parameters. International Journal of MS Care. 26(2). 57–60. 3 indexed citations
5.
Bogaardt, Hans, Daniel Golan, Stacie Attrill, et al.. (2023). Cognitive impairment, fatigue and depression in multiple sclerosis: Is there a difference between benign and non-benign MS?. Multiple Sclerosis and Related Disorders. 73. 104630–104630. 10 indexed citations
6.
7.
Cutter, Gary, Daniel Golan, Glen M. Doniger, et al.. (2022). Measuring cognitive function by the SDMT across functional domains: Useful but not sufficient. Multiple Sclerosis and Related Disorders. 60. 103704–103704. 12 indexed citations
8.
Covey, Thomas J., Daniel Golan, Glen M. Doniger, et al.. (2022). Longitudinal assessment of the relationship between visual evoked potentials and cognitive performance in multiple sclerosis. Clinical Neurophysiology. 137. 66–74. 5 indexed citations
9.
Wilken, Jeffrey, Marijean Buhse, Iris‐Katharina Penner, et al.. (2022). Cognitive impairment in people with multiple sclerosis: Perception vs. performance – factors that drive perception of impairment differ for patients and clinicians. Multiple Sclerosis and Related Disorders. 69. 104410–104410. 7 indexed citations
10.
Covey, Thomas J., Daniel Golan, Glen M. Doniger, et al.. (2022). Prolonged visual evoked potential latency predicts longitudinal worsening of fatigue in people with multiple sclerosis. Multiple Sclerosis and Related Disorders. 67. 104073–104073. 1 indexed citations
11.
Zanotto, Tobia, Jacob J. Sosnoff, Edward Ofori, et al.. (2022). Variability of objective gait measures across the expanded disability status scale in people living with multiple sclerosis: A cross-sectional retrospective analysis. Multiple Sclerosis and Related Disorders. 59. 103645–103645. 10 indexed citations
12.
Covey, Thomas J., Daniel Golan, Marijean Buhse, et al.. (2022). Individual differences in visual evoked potential latency are associated with variance in brain tissue volume in people with multiple sclerosis: An analysis of brain function-structure correlates. Multiple Sclerosis and Related Disorders. 68. 104116–104116. 2 indexed citations
13.
14.
Covey, Thomas J., Daniel Golan, Glen M. Doniger, et al.. (2021). The relationship between cognitive impairment, cognitive fatigue, and visual evoked potential latency in people with multiple sclerosis. Multiple Sclerosis and Related Disorders. 57. 103349–103349. 7 indexed citations
15.
Golan, Daniel, Glen M. Doniger, Diana M. Sima, et al.. (2020). The association between MRI brain volumes and computerized cognitive scores of people with multiple sclerosis. Brain and Cognition. 145. 105614–105614. 13 indexed citations
16.
Golan, Daniel, Jeffrey Wilken, Glen M. Doniger, et al.. (2019). Validity of a multi-domain computerized cognitive assessment battery for patients with multiple sclerosis. Multiple Sclerosis and Related Disorders. 30. 154–162. 26 indexed citations
17.
Golan, Daniel, Mark Gudesblatt, Lori Fafard, et al.. (2018). Baseline cognitive function of patients with relapsing remitting multiple sclerosis is associated with therapeutic response to Natalizumab (P6.348). Neurology. 90(15_supplement). 1 indexed citations
18.
Gudesblatt, Mark, Lori Fafard, Jeffrey Wilken, et al.. (2018). Improvement in Cognitive Function as Measured by NeuroTrax in Patients with Relapsing Multiple Sclerosis Treated with Natalizumab: A 2-Year Retrospective Analysis. CNS Drugs. 32(12). 1173–1181. 15 indexed citations
19.
Buhse, Marijean, et al.. (2015). Caregivers of Older Persons With Multiple Sclerosis. Journal of Neuroscience Nursing. 47(2). E2–E12. 17 indexed citations
20.
Buhse, Marijean. (2015). The Elderly Person With Multiple Sclerosis. Journal of Neuroscience Nursing. 47(6). 333–339. 25 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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