Mya C. Schiess

3.0k total citations · 1 hit paper
72 papers, 1.6k citations indexed

About

Mya C. Schiess is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Mya C. Schiess has authored 72 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Neurology, 20 papers in Cellular and Molecular Neuroscience and 16 papers in Cognitive Neuroscience. Recurrent topics in Mya C. Schiess's work include Parkinson's Disease Mechanisms and Treatments (40 papers), Neurological disorders and treatments (21 papers) and Botulinum Toxin and Related Neurological Disorders (11 papers). Mya C. Schiess is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (40 papers), Neurological disorders and treatments (21 papers) and Botulinum Toxin and Related Neurological Disorders (11 papers). Mya C. Schiess collaborates with scholars based in United States, Italy and Germany. Mya C. Schiess's co-authors include Albert J. Fenoy, Vicki M. Soukup, Jessika Suescun, Ashley J. Hood, Haring J. W. Nauta, Timothy M. Ellmore, Anne B. Sereno, Zheng He, Erin Furr‐Stimming and Roger J. Bick and has published in prestigious journals such as PLoS ONE, Neurology and Scientific Reports.

In The Last Decade

Mya C. Schiess

69 papers receiving 1.6k citations

Hit Papers

Fecal microbiota transpla... 2023 2026 2024 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Fecal microbiota transplantation in Parkinson's disease—A randomized repeat-dose, placebo-controlled clinical pilot study
    2023 88 citations Herbert L. DuPont, Jessika Suescun et al. Frontiers in Neurology profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mya C. Schiess 1.0k 420 378 203 197 72 1.6k
Yasushi Shimo 943 0.9× 450 1.1× 392 1.0× 254 1.3× 210 1.1× 90 1.8k
Fumihito Yoshii 693 0.7× 291 0.7× 520 1.4× 202 1.0× 266 1.4× 92 1.8k
Darrin J. Lee 912 0.9× 746 1.8× 560 1.5× 320 1.6× 141 0.7× 80 1.8k
S. J. Huber 1.7k 1.6× 506 1.2× 381 1.0× 179 0.9× 164 0.8× 31 2.2k
Katia Longo 2.0k 1.9× 420 1.0× 494 1.3× 238 1.2× 164 0.8× 58 2.5k
Bertrand Degos 1.3k 1.3× 976 2.3× 430 1.1× 354 1.7× 284 1.4× 96 2.3k
Francesca Assogna 967 0.9× 240 0.6× 485 1.3× 160 0.8× 131 0.7× 55 1.8k
Martin Südmeyer 1.4k 1.4× 560 1.3× 727 1.9× 380 1.9× 183 0.9× 88 2.4k
Katie Kompoliti 979 0.9× 521 1.2× 234 0.6× 179 0.9× 223 1.1× 56 1.9k
Amit Batla 843 0.8× 429 1.0× 292 0.8× 218 1.1× 153 0.8× 60 1.5k

Countries citing papers authored by Mya C. Schiess

Since Specialization
Citations

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

Fields of papers citing papers by Mya C. Schiess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mya C. Schiess. 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 Mya C. Schiess. The network helps show where Mya C. Schiess may publish in the future.

Co-authorship network of co-authors of Mya C. Schiess

This figure shows the co-authorship network connecting the top 25 collaborators of Mya C. Schiess. A scholar is included among the top collaborators of Mya C. Schiess 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 Mya C. Schiess. Mya C. Schiess 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.
2.
Schiess, Mya C., Jessika Suescun, Charles E. Green, et al.. (2025). Allogeneic Bone Marrow‐Derived Mesenchymal Stem Cells for Parkinson's Disease: A Randomized Trial. Movement Disorders. 40(12). 2688–2699. 1 indexed citations
3.
During, Emmanuel, Roneil G. Malkani, Isabelle Arnulf, et al.. (2025). Symptomatic treatment of REM sleep behavior disorder (RBD): A consensus from the international RBD study group - Treatment and trials working group. Sleep Medicine. 132. 106554–106554. 1 indexed citations
4.
Schiess, Mya C., et al.. (2024). Role of alpha-synuclein seed amplification assay in Parkinson’s disease clinical trials: A case of misdiagnosis. Clinical Parkinsonism & Related Disorders. 11. 100274–100274. 2 indexed citations
5.
Brown, Eric L., Kristi L. Hoffman, Michael Newmark, et al.. (2023). IgA-Biome Profiles Correlate with Clinical Parkinson’s Disease Subtypes. Journal of Parkinson s Disease. 13(4). 501–513. 5 indexed citations
6.
DuPont, Herbert L., Jessika Suescun, Zhi‐Dong Jiang, et al.. (2023). Fecal microbiota transplantation in Parkinson's disease—A randomized repeat-dose, placebo-controlled clinical pilot study. Frontiers in Neurology. 14. 1104759–1104759. 88 indexed citations breakdown →
7.
Kim, Yejin, Jessika Suescun, Mya C. Schiess, & Xiaoqian Jiang. (2021). Computational medication regimen for Parkinson’s disease using reinforcement learning. Scientific Reports. 11(1). 9313–9313. 18 indexed citations
8.
Barman, Arko, et al.. (2019). Quantifying Neurodegenerative Progression With DeepSymNet, an End-to-End Data-Driven Approach. Frontiers in Neuroscience. 13. 1053–1053. 8 indexed citations
9.
Doursout, Marie–Françoise, et al.. (2016). Are Temporal Differences in GDNF and NOS Isoform Induction Contributors to Neurodegeneration? A Fluorescence Microscopy-Based Study. The Open Neurology Journal. 10(1). 67–76. 2 indexed citations
10.
Riecke, Jenny, Chunyan Cai, Farhaan Vahidy, et al.. (2015). A Meta-Analysis of Mesenchymal Stem Cells in Animal Models of Parkinson's Disease. Stem Cells and Development. 24(18). 2082–2090. 25 indexed citations
11.
Doursout, Marie–Françoise, et al.. (2013). Inflammatory Cells and Cytokines in the Olfactory Bulb of a Rat Model of Neuroinflammation; Insights into Neurodegeneration?. Journal of Interferon & Cytokine Research. 33(7). 376–383. 21 indexed citations
12.
Zakaria, Asma, et al.. (2013). Isolated Central Nervous System Histoplasmosis Presenting With Ischemic Pontine Stroke and Meningitis in an Immune-Competent Patient. JAMA Neurology. 70(5). 638–638. 18 indexed citations
13.
Schiess, Mya C., et al.. (2010). CSF from Parkinson disease Patients Differentially Affects Cultured Microglia and Astrocytes. BMC Neuroscience. 11(1). 151–151. 21 indexed citations
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Hallevi, Hen, et al.. (2008). Postencephalitic Hemiparkinsonism. Archives of Neurology. 65(6). 837–837. 2 indexed citations
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Schiess, Mya C., et al.. (2000). Parkinson's disease subtypes: clinical classification and ventricular cerebrospinal fluid analysis. Parkinsonism & Related Disorders. 6(2). 69–76. 146 indexed citations
19.
Soukup, Vicki M., et al.. (1998). Trail Making Test: issues in Normative Data Selection. Applied Neuropsychology. 5(2). 65–73. 66 indexed citations
20.
Soukup, Vicki M., et al.. (1997). Cognitive Sequelae of Unilateral Posteroventral Pallidotomy. Archives of Neurology. 54(8). 947–950. 60 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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