Simon Kobelke

1.4k total citations · 1 hit paper
9 papers, 846 citations indexed

About

Simon Kobelke is a scholar working on Molecular Biology, Neurology and Hematology. According to data from OpenAlex, Simon Kobelke has authored 9 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Neurology and 1 paper in Hematology. Recurrent topics in Simon Kobelke's work include RNA Research and Splicing (6 papers), RNA modifications and cancer (5 papers) and RNA and protein synthesis mechanisms (3 papers). Simon Kobelke is often cited by papers focused on RNA Research and Splicing (6 papers), RNA modifications and cancer (5 papers) and RNA and protein synthesis mechanisms (3 papers). Simon Kobelke collaborates with scholars based in Australia, Japan and France. Simon Kobelke's co-authors include Archa H. Fox, Charles S. Bond, Tetsuro Hirose, Gérard Pierron, Tomohiro Yamazaki, Shinichi Nakagawa, Sylvie Souquère, Takeshi Chujo, K. Swaminathan Iyer and Gavin J. Knott and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Molecular Cell.

In The Last Decade

Simon Kobelke

9 papers receiving 840 citations

Hit Papers

Functional Domains of NEAT1 Architectural lncRNA Induce P... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Kobelke Australia 9 769 265 61 44 35 9 846
Keiichi Izumikawa Japan 19 928 1.2× 270 1.0× 70 1.1× 24 0.5× 51 1.5× 28 1.1k
Ina Huppertz Germany 9 820 1.1× 148 0.6× 74 1.2× 15 0.3× 38 1.1× 11 897
Marta M. Fay United States 14 1.3k 1.6× 144 0.5× 67 1.1× 22 0.5× 44 1.3× 15 1.3k
Takashi Ideue Japan 12 913 1.2× 449 1.7× 19 0.3× 28 0.6× 25 0.7× 16 976
Palaniraja Thandapani United States 8 786 1.0× 91 0.3× 20 0.3× 38 0.9× 38 1.1× 12 882
Mohini Jangi United States 6 924 1.2× 235 0.9× 11 0.2× 47 1.1× 46 1.3× 8 993
Vasilisa Aksenova United States 13 425 0.6× 88 0.3× 38 0.6× 27 0.6× 32 0.9× 25 523
Rebecca Stanton United States 3 1.0k 1.4× 288 1.1× 16 0.3× 38 0.9× 35 1.0× 4 1.1k
Alexandre J.C. Quaresma Brazil 14 526 0.7× 46 0.2× 81 1.3× 37 0.8× 25 0.7× 15 614
Tina Lenče Germany 10 1.3k 1.8× 598 2.3× 27 0.4× 21 0.5× 18 0.5× 11 1.4k

Countries citing papers authored by Simon Kobelke

Since Specialization
Citations

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

Fields of papers citing papers by Simon Kobelke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Kobelke

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

All Works

9 of 9 papers shown
1.
Marshall, A.C., Simon Kobelke, Tianyi Zhu, et al.. (2023). Different Low-complexity Regions of SFPQ Play Distinct Roles in the Formation of Biomolecular Condensates. Journal of Molecular Biology. 435(24). 168364–168364. 13 indexed citations
2.
Marshall, A.C., Gavin J. Knott, Simon Kobelke, et al.. (2022). Paraspeckle subnuclear bodies depend on dynamic heterodimerisation of DBHS RNA-binding proteins via their structured domains. Journal of Biological Chemistry. 298(11). 102563–102563. 11 indexed citations
3.
Zhang, Song, Chelsea Mayoh, Tao Liu, et al.. (2022). NONO enhances mRNA processing of super‐enhancer‐associated GATA2 and HAND2 genes in neuroblastoma. EMBO Reports. 24(2). e54977–e54977. 23 indexed citations
4.
Guédin, Aurore, Simon Kobelke, Charles S. Bond, et al.. (2021). The role of G-Quadruplex DNA in Paraspeckle formation in cancer. Biochimie. 190. 124–131. 16 indexed citations
5.
Yamazaki, Tomohiro, Sylvie Souquère, Takeshi Chujo, et al.. (2018). Functional Domains of NEAT1 Architectural lncRNA Induce Paraspeckle Assembly through Phase Separation. Molecular Cell. 70(6). 1038–1053.e7. 422 indexed citations breakdown →
6.
Jansz, Natasha, Tatyana B. Nesterova, Andrew Keniry, et al.. (2018). Smchd1 Targeting to the Inactive X Is Dependent on the Xist-HnrnpK-PRC1 Pathway. Cell Reports. 25(7). 1912–1923.e9. 51 indexed citations
7.
Hennig, Sven, Geraldine Kong, Taro Mannen, et al.. (2015). Prion-like domains in RNA binding proteins are essential for building subnuclear paraspeckles. The Journal of Cell Biology. 210(4). 529–539. 249 indexed citations
8.
Winteringham, Louise N, Raelene Endersby, Simon Kobelke, et al.. (2006). Myeloid Leukemia Factor 1 Associates with a Novel Heterogeneous Nuclear Ribonucleoprotein U-like Molecule. Journal of Biological Chemistry. 281(50). 38791–38800. 20 indexed citations
9.
Winteringham, Louise N, Simon Kobelke, James H. Williams, Evan Ingley, & S. Peter Klinken. (2004). Myeloid Leukemia Factor 1 inhibits erythropoietin-induced differentiation, cell cycle exit and p27Kip1 accumulation. Oncogene. 23(29). 5105–5109. 41 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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