Ina Schmitt

3.9k total citations · 1 hit paper
46 papers, 2.5k citations indexed

About

Ina Schmitt is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Ina Schmitt has authored 46 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 23 papers in Cellular and Molecular Neuroscience and 11 papers in Neurology. Recurrent topics in Ina Schmitt's work include Genetic Neurodegenerative Diseases (17 papers), Mitochondrial Function and Pathology (13 papers) and Parkinson's Disease Mechanisms and Treatments (9 papers). Ina Schmitt is often cited by papers focused on Genetic Neurodegenerative Diseases (17 papers), Mitochondrial Function and Pathology (13 papers) and Parkinson's Disease Mechanisms and Treatments (9 papers). Ina Schmitt collaborates with scholars based in Germany, United States and Switzerland. Ina Schmitt's co-authors include Ullrich Wüllner, Oliver Kaut, Bernd O. Evert, Zdenek Berger, Brinda Ravikumar, Cahir J. O’Kane, Benjamin R. Underwood, Fiona M. Menzies, David C. Rubinsztein and Menelas N. Pangalos and has published in prestigious journals such as Journal of Neuroscience, Journal of Molecular Biology and Brain.

In The Last Decade

Ina Schmitt

46 papers receiving 2.4k citations

Hit Papers

Rapamycin alleviates toxicity of different aggregate-pron... 2005 2026 2012 2019 2005 100 200 300 400 500
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. Rapamycin alleviates toxicity of different aggregate-prone proteins
    2005 532 citations Zdenek Berger, Brinda Ravikumar et al. Human Molecular Genetics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ina Schmitt Germany 23 1.6k 1.1k 705 381 338 46 2.5k
Hyemyung Seo South Korea 35 1.9k 1.2× 1.2k 1.0× 572 0.8× 192 0.5× 439 1.3× 70 3.4k
Nikolai Kholodilov United States 29 1.1k 0.7× 1.6k 1.4× 1.3k 1.9× 449 1.2× 162 0.5× 50 2.9k
Kinya Ishikawa Japan 34 2.0k 1.3× 1.6k 1.4× 724 1.0× 167 0.4× 197 0.6× 125 3.0k
Curt Mazur United States 22 2.0k 1.3× 819 0.7× 899 1.3× 166 0.4× 136 0.4× 45 3.4k
Marcel van der Brug United States 16 1.5k 0.9× 753 0.7× 1.2k 1.7× 449 1.2× 270 0.8× 22 3.0k
Darius Ebrahimi‐Fakhari United States 26 999 0.6× 779 0.7× 953 1.4× 440 1.2× 493 1.5× 85 2.9k
M. Galbiati Italy 30 1.1k 0.7× 658 0.6× 708 1.0× 529 1.4× 218 0.6× 66 2.6k
Ko Miyoshi Japan 28 1.3k 0.8× 720 0.6× 267 0.4× 235 0.6× 475 1.4× 47 2.5k
Amber L. Southwell Canada 31 2.3k 1.4× 2.0k 1.8× 687 1.0× 103 0.3× 200 0.6× 48 3.2k
Mickaël Decressac Sweden 21 864 0.5× 1.5k 1.3× 1.3k 1.8× 380 1.0× 100 0.3× 27 2.6k

Countries citing papers authored by Ina Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by Ina Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ina Schmitt

This figure shows the co-authorship network connecting the top 25 collaborators of Ina Schmitt. A scholar is included among the top collaborators of Ina Schmitt 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 Ina Schmitt. Ina Schmitt 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.
Meyer, Florian, Ina Schmitt, Marcus Persicke, et al.. (2024). Enhancing astaxanthin biosynthesis and pathway expansion towards glycosylated C40 carotenoids by Corynebacterium glutamicum. Scientific Reports. 14(1). 8081–8081. 14 indexed citations
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Bedarf, Janis R., et al.. (2023). Increased diversity of Malassezia species on the skin of Parkinson’s disease patients. Frontiers in Aging Neuroscience. 15. 1268751–1268751. 3 indexed citations
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Boni, Laura de, Gilles Gasparoni, Sascha Tierling, et al.. (2018). DNA methylation alterations in iPSC- and hESC-derived neurons: potential implications for neurological disease modeling. Clinical Epigenetics. 10(1). 13–13. 32 indexed citations
7.
Sharma, Amit, Oliver Kaut, Anna Pavlova, et al.. (2017). Skewed X-chromosome inactivation and XIST locus methylation levels do not contribute to the lower prevalence of Parkinson's disease in females. Neurobiology of Aging. 57. 248.e1–248.e5. 11 indexed citations
8.
Urbina, Héctor, et al.. (2017). Phylogeny of the order Phyllachorales (Ascomycota, Sordariomycetes): among and within order relationships based on five molecular loci. Persoonia - Molecular Phylogeny and Evolution of Fungi. 39(1). 74–90. 31 indexed citations
9.
Wüllner, Ullrich, et al.. (2016). DNA methylation in Parkinson's disease. Journal of Neurochemistry. 139(S1). 108–120. 77 indexed citations
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Liu, Hongmei, Xiaoling Li, Guozhu Ning, et al.. (2016). The Machado–Joseph Disease Deubiquitinase Ataxin-3 Regulates the Stability and Apoptotic Function of p53. PLoS Biology. 14(11). e2000733–e2000733. 65 indexed citations
12.
Schmitt, Ina, Ullrich Wüllner, Alexander E. Volk, et al.. (2012). Variants in the 3′UTR of SNCA do not affect miRNA-433 binding and alpha-synuclein expression. European Journal of Human Genetics. 20(12). 1265–1269. 17 indexed citations
13.
Hübener‐Schmid, Jeannette, Franz Vauti, Claudia Funke, et al.. (2011). N-terminal ataxin-3 causes neurological symptoms with inclusions, endoplasmic reticulum stress and ribosomal dislocation. Brain. 134(7). 1925–1942. 42 indexed citations
14.
Schmitt, Ina, et al.. (2010). Methylation Regulates Alpha-Synuclein Expression and Is Decreased in Parkinson's Disease Patients' Brains. Journal of Neuroscience. 30(18). 6355–6359. 323 indexed citations
15.
Boy, Jana, Thorsten Schmidt, Hartwig Wolburg, et al.. (2009). Reversibility of symptoms in a conditional mouse model of spinocerebellar ataxia type 3. Human Molecular Genetics. 18(22). 4282–4295. 83 indexed citations
16.
Breuer, Péter, et al.. (2009). CK2-dependent phosphorylation determines cellular localization and stability of ataxin-3. Human Molecular Genetics. 18(17). 3334–3343. 78 indexed citations
17.
Schmitt, Ina, Emmanuelle Bitoun, & Mario Manto. (2009). PTPRR, Cerebellum, and Motor Coordination. The Cerebellum. 8(2). 71–73. 6 indexed citations
18.
Berger, Zdenek, Brinda Ravikumar, Fiona M. Menzies, et al.. (2005). Rapamycin alleviates toxicity of different aggregate-prone proteins. Human Molecular Genetics. 15(3). 433–442. 532 indexed citations breakdown →
19.
Schmidt, Thorsten, G. Bernhard Landwehrmeyer, Ina Schmitt, et al.. (1998). An Isoform of Ataxin‐3 Accumulates in the Nucleus of Neuronal Cells in Affected Brain Regions of SCA3 Patients. Brain Pathology. 8(4). 669–679. 172 indexed citations
20.
Schmitt, Ina, Jörg T. Epplen, & Olaf Rieß. (1995). Predominant neuronal expression of the gene responsible for dentatorubral-pallidoluysian atrophy (DRPLA) in rat. Human Molecular Genetics. 4(9). 1619–1624. 17 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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