Sven Poths

837 total citations
18 papers, 540 citations indexed

About

Sven Poths is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Sven Poths has authored 18 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Neurology. Recurrent topics in Sven Poths's work include Parkinson's Disease Mechanisms and Treatments (4 papers), Genetic Neurodegenerative Diseases (4 papers) and Genetic Syndromes and Imprinting (3 papers). Sven Poths is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (4 papers), Genetic Neurodegenerative Diseases (4 papers) and Genetic Syndromes and Imprinting (3 papers). Sven Poths collaborates with scholars based in Germany, United States and Austria. Sven Poths's co-authors include Michael Bonin, Olaf Rieß, Michael Walter, Karina Häbig, Marina de Nadai Bonin Gomes, Jeannette Hübener‐Schmid, Werner Schmidt, Lukas Rüttiger, Marlies Knipper and Jana Boy and has published in prestigious journals such as Journal of Neuroscience, Bioinformatics and Clinical Chemistry.

In The Last Decade

Sven Poths

18 papers receiving 532 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sven Poths Germany 11 302 221 130 119 64 18 540
Elena Fineberg United Kingdom 6 144 0.5× 116 0.5× 180 1.4× 31 0.3× 40 0.6× 6 396
Sohyun L. McElroy United States 8 299 1.0× 59 0.3× 160 1.2× 49 0.4× 30 0.5× 12 494
C. Martín Spain 12 244 0.8× 138 0.6× 23 0.2× 73 0.6× 14 0.2× 20 478
Judy Watson-Johnson United States 6 619 2.0× 333 1.5× 142 1.1× 79 0.7× 10 0.2× 7 756
Laura Flinn United Kingdom 5 170 0.6× 86 0.4× 99 0.8× 37 0.3× 15 0.2× 6 440
C Bützler Germany 8 511 1.7× 98 0.4× 35 0.3× 88 0.7× 18 0.3× 10 646
María A. Ramos‐Arroyo Spain 12 281 0.9× 219 1.0× 195 1.5× 163 1.4× 7 0.1× 27 556
Ludmilla Lokmane France 13 364 1.2× 220 1.0× 13 0.1× 158 1.3× 13 0.2× 18 682
Anna Capalbo Italy 16 244 0.8× 41 0.2× 49 0.4× 389 3.3× 13 0.2× 29 579
Jennifer N. Partlow United States 13 432 1.4× 119 0.5× 32 0.2× 209 1.8× 5 0.1× 14 640

Countries citing papers authored by Sven Poths

Since Specialization
Citations

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

Fields of papers citing papers by Sven Poths

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Poths

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

All Works

18 of 18 papers shown
1.
Lohmann, Ebba, Marc Sturm, Florian Lenz, et al.. (2019). Single Molecule Molecular Inversion Probes for High Throughput Germline Screenings in Dystonia. Frontiers in Neurology. 10. 1332–1332. 2 indexed citations
2.
Harichandan, Abhishek, K. Sivasubramaniyan, Jörg Hennenlotter, et al.. (2016). Molecular Signatures of Primary Human Spermatogonial Progenitors and Its Neighboring Peritubular Stromal Compartment. Stem Cells and Development. 26(4). 263–273. 3 indexed citations
3.
Schroeder, Christopher, Arif B. Ekici, Ute Moog, et al.. (2014). Genome-wide UPD screening in patients with intellectual disability. European Journal of Human Genetics. 22(10). 1233–1235. 4 indexed citations
4.
5.
Sturm, Marc, Andreas Dufke, Ulrike A. Mau‐Holzmann, et al.. (2013). UPDtool: a tool for detection of iso- and heterodisomy in parent–child trios using SNP microarrays. Bioinformatics. 29(12). 1562–1564. 25 indexed citations
6.
Dufke, Claudia, Nina Schlipf, Rebecca Schüle, et al.. (2012). A high-throughput resequencing microarray for autosomal dominant spastic paraplegia genes. Neurogenetics. 13(3). 215–227. 3 indexed citations
7.
Rall, Katharina, Gianmaria Barresi, Michael Walter, et al.. (2011). A combination of transcriptome and methylation analyses reveals embryologically-relevant candidate genes in MRKH patients. Orphanet Journal of Rare Diseases. 6(1). 32–32. 49 indexed citations
8.
Walter, Martin A., Marina de Nadai Bonin Gomes, Enza Maria Valente, et al.. (2010). Expression profiling in peripheral blood reveals signature for penetrance in DYT1 dystonia. Neurobiology of Disease. 38(2). 192–200. 12 indexed citations
9.
Walter, Michael, et al.. (2010). Utilization of AFFX spike-in control probes to monitor sample identity throughout Affymetrix GeneChip Array processing. BioTechniques. 48(5). 371–378. 5 indexed citations
10.
Grundmann, Kathrin, Jeannette Hübener‐Schmid, Karina Häbig, et al.. (2008). Gene expression changes in a transgenic mouse model overexpressing human wildtype and mutant torsinA. PROTEOMICS - CLINICAL APPLICATIONS. 2(5). 720–736. 4 indexed citations
11.
Waldmüller, Stephan, Melanie Müller, Kirsten Rackebrandt, et al.. (2008). Array-Based Resequencing Assay for Mutations Causing Hypertrophic Cardiomyopathy. Clinical Chemistry. 54(4). 682–687. 35 indexed citations
12.
Stappert, H., Sven Poths, Bernd Wissinger, et al.. (2007). Oligonucleotide Microarray Based Expression Analysis of the Cpfl1 Mutant - a Mouse Model of Cone and Cone-Rod Dystrophies. Investigative Ophthalmology & Visual Science. 48(13). 2985–2985. 1 indexed citations
13.
Häbig, Karina, et al.. (2007). RNA interference of LRRK2–microarray expression analysis of a Parkinson’s disease key player. Neurogenetics. 9(2). 83–94. 64 indexed citations
14.
Kühn, Melanie, Michael Bonin, Natalia Ninkina, et al.. (2007). Whole genome expression analyses of single- and double-knock-out mice implicate partially overlapping functions of alpha- and gamma-synuclein. Neurogenetics. 8(2). 71–81. 30 indexed citations
15.
Schmidt, Thorsten, Jeannette Hübener‐Schmid, Jana Boy, et al.. (2007). Nuclear Localization of Ataxin-3 Is Required for the Manifestation of Symptoms in SCA3:In VivoEvidence. Journal of Neuroscience. 27(28). 7418–7428. 158 indexed citations
16.
Gehrig, Andrea, Thomas Langmann, Andreas Janßen, et al.. (2007). Genome-Wide Expression Profiling of the Retinoschisin-Deficient Retina in Early Postnatal Mouse Development. Investigative Ophthalmology & Visual Science. 48(2). 891–891. 51 indexed citations
17.
Dufke, Andreas, Sven Poths, Ulrike A. Mau‐Holzmann, et al.. (2005). A rapid microarray based whole genome analysis for detection of uniparental disomy. Human Mutation. 26(2). 153–159. 44 indexed citations
18.
Gomes, Marina de Nadai Bonin, et al.. (2004). Microarray expression analysis of gad mice implicates involvement of Parkinson's disease associated UCH-L1 in multiple metabolic pathways. Molecular Brain Research. 126(1). 88–97. 20 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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