Melissa Houser

942 total citations
10 papers, 684 citations indexed

About

Melissa Houser is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Melissa Houser has authored 10 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Melissa Houser's work include Neurological disorders and treatments (8 papers), Botulinum Toxin and Related Neurological Disorders (3 papers) and Transcranial Magnetic Stimulation Studies (3 papers). Melissa Houser is often cited by papers focused on Neurological disorders and treatments (8 papers), Botulinum Toxin and Related Neurological Disorders (3 papers) and Transcranial Magnetic Stimulation Studies (3 papers). Melissa Houser collaborates with scholars based in United States and United Kingdom. Melissa Houser's co-authors include Adam R. Aron, Howard Poizner, Ian Greenhouse, Thomas A. Waltz, Kailash P. Bhatia, Nicole C. Swann, Weidong Cai, Rachel A. Mak-McCully, G. Sheean and Andrew J. Lees and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurology Neurosurgery & Psychiatry and Neuropsychologia.

In The Last Decade

Melissa Houser

8 papers receiving 662 citations

Peers

Melissa Houser

NEURO

CMN

CN

NEURO

PMH

Nabin Koirala Germany

Paula Trujillo United States

Vladana Marković Serbia

Gian Pal United States

Mary Ann Thenganatt United States

Woong‐Woo Lee South Korea

Martin Kronenbuerger Germany

Sara Meoni France

Francisco J. Palomar Spain

Hana Streitová Czechia

Nabin Koirala Germany

Melissa Houser

348 ×0.7

NEURO

200 ×0.8

CMN

284 ×1.2

CN

102 ×1.2

NEURO

65 ×0.8

PMH

Citations per year, relative to Melissa Houser Melissa Houser (= 1×) peers Nabin Koirala

Countries citing papers authored by Melissa Houser

Since Specialization

Citations

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

Fields of papers citing papers by Melissa Houser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Houser

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

All Works

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10 of 10 papers shown

1.

Larson, Paul, Chadwick W. Christine, Nicolás Phielipp, et al.. (2025). Safety, tolerability, and efficacy of intracranial delivery of autologous iPSC-derived dopaminergic precursors in moderate to advanced Parkinson’s Disease. Parkinsonism & Related Disorders. 134. 107630–107630.

2.

Mak-McCully, Rachel A., et al.. (2013). Dopaminergic therapy in Parkinson's disease decreases cortical beta band coherence in the resting state and increases cortical beta band power during executive control. NeuroImage Clinical. 3. 261–270. 122 indexed citations

3.

Greenhouse, Ian, et al.. (2013). Stimulation of contacts in ventral but not dorsal subthalamic nucleus normalizes response switching in Parkinson's disease. Neuropsychologia. 51(7). 1302–1309. 28 indexed citations

4.

Swann, Nicole C., Howard Poizner, Melissa Houser, et al.. (2011). Deep Brain Stimulation of the Subthalamic Nucleus Alters the Cortical Profile of Response Inhibition in the Beta Frequency Band: A Scalp EEG Study in Parkinson's Disease. Journal of Neuroscience. 31(15). 5721–5729. 185 indexed citations

5.

Greenhouse, Ian, et al.. (2010). Stimulation at dorsal and ventral electrode contacts targeted at the subthalamic nucleus has different effects on motor and emotion functions in Parkinson's disease. Neuropsychologia. 49(3). 528–534. 65 indexed citations

6.

Houser, Melissa & Thomas A. Waltz. (2005). Meige syndrome and pallidal deep brain stimulation. Movement Disorders. 20(9). 1203–1205. 63 indexed citations

7.

Layne, Charles S., et al.. (2002). Using dynamic foot stimulation during space flight as a countermeasure to muscle degradation. 67. 2164–2165 vol.3.

8.

Bhatia, Kailash P., Alexander Münchau, Philip D. Thompson, et al.. (1999). Generalised muscular weakness after botulinum toxin injections for dystonia: a report of three cases. Journal of Neurology Neurosurgery & Psychiatry. 67(1). 90–93. 102 indexed citations

9.

Houser, Melissa, Valérie Soland, Kailash P. Bhatia, Niall Quinn, & C. D. Marsden. (1999). Paroxysmal kinesigenic choreoathetosis: a report of 26 patients. Journal of Neurology. 246(2). 120–126. 72 indexed citations

10.

Houser, Melissa, G. Sheean, & Andrew J. Lees. (1998). Further studies using higher doses of botulinum toxin type F for torticollis resistant to botulinum toxin type A. Journal of Neurology Neurosurgery & Psychiatry. 64(5). 577–580. 47 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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