Jens Schuster

1.6k total citations
49 papers, 1.1k citations indexed

About

Jens Schuster is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Jens Schuster has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 15 papers in Genetics and 7 papers in Cell Biology. Recurrent topics in Jens Schuster's work include RNA modifications and cancer (9 papers), CRISPR and Genetic Engineering (8 papers) and Cancer-related gene regulation (8 papers). Jens Schuster is often cited by papers focused on RNA modifications and cancer (9 papers), CRISPR and Genetic Engineering (8 papers) and Cancer-related gene regulation (8 papers). Jens Schuster collaborates with scholars based in Sweden, Pakistan and United States. Jens Schuster's co-authors include Niklas Dahl, Joakim Klar, Jitendra Badhai, Maria Sobol, Phillip J. Stone, J S Brody, Kojiro Wasano, R M Niles, Shahid Mahmood Baig and Anne-Sophie Fröjmark and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Jens Schuster

49 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jens Schuster Sweden 19 712 247 134 117 94 49 1.1k
Khushnooda Ramzan Saudi Arabia 18 644 0.9× 320 1.3× 112 0.8× 104 0.9× 59 0.6× 79 1.2k
Sharon Zeligson Israel 19 731 1.0× 281 1.1× 77 0.6× 122 1.0× 167 1.8× 41 1.3k
Jay L. Vivian United States 20 947 1.3× 247 1.0× 119 0.9× 107 0.9× 37 0.4× 45 1.3k
Julie Désir Belgium 19 676 0.9× 529 2.1× 268 2.0× 154 1.3× 72 0.8× 46 1.4k
Walter Tsark United States 19 1.1k 1.5× 273 1.1× 151 1.1× 60 0.5× 86 0.9× 33 1.4k
Reeval Segel Israel 18 649 0.9× 249 1.0× 65 0.5× 64 0.5× 69 0.7× 40 1.1k
Ayumi Kitano United States 18 842 1.2× 192 0.8× 173 1.3× 149 1.3× 86 0.9× 30 1.6k
Jaime Meléndez Chile 16 734 1.0× 113 0.5× 278 2.1× 109 0.9× 90 1.0× 25 1.3k
Xianling Zhao United States 10 967 1.4× 302 1.2× 85 0.6× 76 0.6× 36 0.4× 11 1.2k
Patricia G. Wilson United States 20 872 1.2× 169 0.7× 353 2.6× 65 0.6× 53 0.6× 40 1.3k

Countries citing papers authored by Jens Schuster

Since Specialization
Citations

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

Fields of papers citing papers by Jens Schuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Schuster

This figure shows the co-authorship network connecting the top 25 collaborators of Jens Schuster. A scholar is included among the top collaborators of Jens Schuster 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 Jens Schuster. Jens Schuster 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.
Hyvärinen, Tanja, et al.. (2025). Abnormalities in the functional activity of neural networks in a human iPSC model of Dravet syndrome. Neuroscience Research. 220. 104958–104958. 1 indexed citations
2.
Schuster, Jens, Joakim Klar, Ambrin Fatima, et al.. (2022). ZEB2 haploinsufficient Mowat-Wilson syndrome induced pluripotent stem cells show disrupted GABAergic transcriptional regulation and function. Frontiers in Molecular Neuroscience. 15. 988993–988993. 1 indexed citations
3.
Reimegård, Johan, Marcel Tarbier, Marcus Danielsson, et al.. (2021). A combined approach for single-cell mRNA and intracellular protein expression analysis. Communications Biology. 4(1). 624–624. 74 indexed citations
4.
Schuster, Jens, et al.. (2020). Generation of two human iPSC lines (UUIGPi013-A and UUIPGi014-A) from cases with Down syndrome and full trisomy for chromosome 21 (T21). Stem Cell Research. 49. 102081–102081. 1 indexed citations
5.
Klar, Joakim, Maria Sobol, Mansoureh Shahsavani, et al.. (2020). DNA methylation changes in Down syndrome derived neural iPSCs uncover co-dysregulation of ZNF and HOX3 families of transcription factors. Clinical Epigenetics. 12(1). 9–9. 22 indexed citations
6.
Fatima, Ambrin, Joakim Klar, Muhammad Tariq, et al.. (2020). Aberrant splicing due to a novel RPS7 variant causes Diamond-Blackfan Anemia associated with spontaneous remission and meningocele. International Journal of Hematology. 112(6). 894–899. 6 indexed citations
7.
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9.
Schuster, Jens, Maria Sobol, Ambrin Fatima, et al.. (2019). Mowat-Wilson syndrome: Generation of two human iPS cell lines (UUIGPi004A and UUIGPi005A) from siblings with a truncating ZEB2 gene variant. Stem Cell Research. 39. 101518–101518. 5 indexed citations
10.
Klar, Joakim, Jörg Piontek, Susanne Milatz, et al.. (2017). Altered paracellular cation permeability due to a rare CLDN10B variant causes anhidrosis and kidney damage. PLoS Genetics. 13(7). e1006897–e1006897. 51 indexed citations
11.
Schuster, Jens, Jonatan Halvardson, Adam Ameur, et al.. (2015). Transcriptome Profiling Reveals Degree of Variability in Induced Pluripotent Stem Cell Lines: Impact for Human Disease Modeling. Cellular Reprogramming. 17(5). 327–337. 19 indexed citations
12.
13.
Badhai, Jitendra, Jens Schuster, Olof Gidlöf, & Niklas Dahl. (2011). 5′UTR Variants of Ribosomal Protein S19 Transcript Determine Translational Efficiency: Implications for Diamond-Blackfan Anemia and Tissue Variability. PLoS ONE. 6(3). e17672–e17672. 11 indexed citations
14.
15.
Dahlqvist, Johanna, Joakim Klar, Neha Tiwari, et al.. (2010). A Single-Nucleotide Deletion in the POMP 5′ UTR Causes a Transcriptional Switch and Altered Epidermal Proteasome Distribution in KLICK Genodermatosis. The American Journal of Human Genetics. 86(4). 655–655. 1 indexed citations
16.
Schuster, Jens, Anne-Sophie Fröjmark, Per Nilsson, et al.. (2010). Ribosomal protein S19 binds to its own mRNA with reduced affinity in Diamond-Blackfan anemia. Blood Cells Molecules and Diseases. 45(1). 23–28. 8 indexed citations
17.
Badhai, Jitendra, Anne-Sophie Fröjmark, Edward J. Davey, Jens Schuster, & Niklas Dahl. (2009). Ribosomal protein S19 and S24 insufficiency cause distinct cell cycle defects in Diamond–Blackfan anemia. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1792(10). 1036–1042. 35 indexed citations
18.
Klar, Joakim, Muhammad Aslam, Muhammad Tariq, et al.. (2009). WNT10A missense mutation associated with a complete Odonto-Onycho-Dermal Dysplasia syndrome. European Journal of Human Genetics. 17(12). 1600–1605. 52 indexed citations
19.
Badhai, Jitendra, Anne-Sophie Fröjmark, Hamid Reza Razzaghian, et al.. (2009). Posttranscriptional down‐regulation of small ribosomal subunit proteins correlates with reduction of 18S rRNA in RPS19 deficiency. FEBS Letters. 583(12). 2049–2053. 18 indexed citations
20.
Lizano, Esther, Jens Schuster, Martin Müller, Janet Kelso, & Mario Mörl. (2006). A Splice Variant of the Human CCA-adding Enzyme with Modified Activity. Journal of Molecular Biology. 366(4). 1258–1265. 10 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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