Jonas Muhr

4.6k total citations · 1 hit paper
33 papers, 3.5k citations indexed

About

Jonas Muhr is a scholar working on Molecular Biology, Developmental Neuroscience and Cancer Research. According to data from OpenAlex, Jonas Muhr has authored 33 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 12 papers in Developmental Neuroscience and 7 papers in Cancer Research. Recurrent topics in Jonas Muhr's work include Developmental Biology and Gene Regulation (16 papers), Pluripotent Stem Cells Research (13 papers) and Neurogenesis and neuroplasticity mechanisms (12 papers). Jonas Muhr is often cited by papers focused on Developmental Biology and Gene Regulation (16 papers), Pluripotent Stem Cells Research (13 papers) and Neurogenesis and neuroplasticity mechanisms (12 papers). Jonas Muhr collaborates with scholars based in Sweden, United States and United Kingdom. Jonas Muhr's co-authors include Elisabet Andersson, Johan Ericson, Bennett G. Novitch, Helena Edlund, Maria Bergsland, Thomas M. Jessell, Magnus Sandberg, Marysia Placzek, Thierry Lints and Daniel W. Hagey and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Jonas Muhr

32 papers receiving 3.5k citations

Hit Papers

Vertebrate neurogenesis is counteracted by Sox1–3 activity 2003 2026 2010 2018 2003 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonas Muhr Sweden 26 2.9k 947 716 556 422 33 3.5k
Luis C. Fuentealba United States 19 2.2k 0.8× 1.1k 1.2× 373 0.5× 644 1.2× 358 0.8× 22 3.3k
Kate G. Storey United Kingdom 36 4.3k 1.5× 830 0.9× 876 1.2× 515 0.9× 201 0.5× 65 4.8k
C. Claus Stolt Germany 24 2.2k 0.8× 1.1k 1.2× 702 1.0× 446 0.8× 958 2.3× 34 3.3k
Eseng Lai United States 23 3.2k 1.1× 568 0.6× 868 1.2× 536 1.0× 354 0.8× 25 3.8k
Carol Schuurmans Canada 31 3.1k 1.1× 1.9k 2.0× 592 0.8× 1.3k 2.3× 405 1.0× 80 4.3k
Jeremy S. Dasen United States 31 3.2k 1.1× 628 0.7× 964 1.3× 884 1.6× 395 0.9× 49 4.8k
Anjen Chenn United States 26 2.6k 0.9× 1.5k 1.5× 660 0.9× 1.0k 1.8× 286 0.7× 43 4.0k
Carlos Parras France 27 2.8k 1.0× 2.1k 2.2× 520 0.7× 1.1k 2.1× 589 1.4× 43 4.0k
Elisa Martı́ Spain 36 3.7k 1.3× 785 0.8× 743 1.0× 914 1.6× 187 0.4× 66 4.5k
Andrea Streit United Kingdom 34 4.0k 1.4× 427 0.5× 931 1.3× 590 1.1× 352 0.8× 79 4.8k

Countries citing papers authored by Jonas Muhr

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Muhr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Muhr

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Muhr. A scholar is included among the top collaborators of Jonas Muhr 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 Jonas Muhr. Jonas Muhr 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.
Yuan, Juan, Jiacheng Zhu, Wenyu Li, et al.. (2025). HIF2α negatively regulates MYCN protein levels and promotes a low-risk noradrenergic phenotype in neuroblastoma. Proceedings of the National Academy of Sciences. 122(43). e2516922122–e2516922122.
2.
Kumar, Raman, Michaela Scherer, Tarin Ritchie, et al.. (2024). Mapping combinatorial expression of non-clustered protocadherins in the developing brain identifies novel PCDH19-mediated cell adhesion properties. Open Biology. 14(4). 230383–230383. 1 indexed citations
3.
Sarhan, Dhifaf, Fei He, Maria Bergsland, et al.. (2022). Targeting myeloid suppressive cells revives cytotoxic anti-tumor responses in pancreatic cancer. iScience. 25(11). 105317–105317. 25 indexed citations
4.
Hagey, Daniel W., Nigel Kee, Florie Reynaud, et al.. (2020). CYCLIN-B1/2 and -D1 act in opposition to coordinate cortical progenitor self-renewal and lineage commitment. Nature Communications. 11(1). 2898–2898. 30 indexed citations
5.
Klum, Susanne, Zhanna Alekseenko, Åsa K. Björklund, et al.. (2018). Sequentially acting SOX proteins orchestrate astrocyte‐ and oligodendrocyte‐specific gene expression. EMBO Reports. 19(11). 39 indexed citations
6.
Hagey, Daniel W., et al.. (2018). SOX2 regulates common and specific stem cell features in the CNS and endoderm derived organs. PLoS Genetics. 14(2). e1007224–e1007224. 40 indexed citations
7.
Hagey, Daniel W., Maria Bergsland, Peter Siesjö, et al.. (2017). SOX5/6/21 Prevent Oncogene-Driven Transformation of Brain Stem Cells. Cancer Research. 77(18). 4985–4997. 34 indexed citations
8.
Vasconcelos, Francisca F., Alessandro Sessa, Cátia Laranjeira, et al.. (2016). MyT1 Counteracts the Neural Progenitor Program to Promote Vertebrate Neurogenesis. Cell Reports. 17(2). 469–483. 44 indexed citations
9.
Hagey, Daniel W. & Jonas Muhr. (2014). Sox2 Acts in a Dose-Dependent Fashion to Regulate Proliferation of Cortical Progenitors. Cell Reports. 9(5). 1908–1920. 73 indexed citations
10.
Bergsland, Maria, et al.. (2011). Sequentially acting Sox transcription factors in neural lineage development. Genes & Development. 25(23). 2453–2464. 238 indexed citations
11.
Holmberg, Johan, Xiaobing He, Inti Peredo, et al.. (2011). Activation of Neural and Pluripotent Stem Cell Signatures Correlates with Increased Malignancy in Human Glioma. PLoS ONE. 6(3). e18454–e18454. 70 indexed citations
12.
Novozhilova, Ekaterina, et al.. (2010). Olfactory ensheathing cells promote neurite outgrowth from co-cultured brain stem slice. Experimental Neurology. 229(1). 65–71. 8 indexed citations
13.
Bergsland, Maria, Martin Werme, Michal Malewicz, Thomas Perlmann, & Jonas Muhr. (2006). The establishment of neuronal properties is controlled by Sox4 and Sox11. Genes & Development. 20(24). 3475–3486. 257 indexed citations
14.
Hansson, Emil M., Ana I. Teixeira, Maria Gustafsson, et al.. (2006). Recording Notch Signaling in Real Time. Developmental Neuroscience. 28(1-2). 118–127. 38 indexed citations
15.
Bailey, Peter J., Elisabet Andersson, Mattias Karlén, et al.. (2006). A global genomic transcriptional code associated with CNS-expressed genes. Experimental Cell Research. 312(16). 3108–3119. 37 indexed citations
16.
Andersson, Elisabet, et al.. (2003). Vertebrate neurogenesis is counteracted by Sox1–3 activity. Nature Neuroscience. 6(11). 1162–1168. 662 indexed citations breakdown →
17.
Vallstedt, Anna, Jonas Muhr, Alexandre Pattyn, et al.. (2001). Different Levels of Repressor Activity Assign Redundant and Specific Roles to Nkx6 Genes in Motor Neuron and Interneuron Specification. Neuron. 31(5). 743–755. 217 indexed citations
18.
Muhr, Jonas, Thomas M. Jessell, & Helena Edlund. (1997). Assignment of Early Caudal Identity to Neural Plate Cells by a Signal from Caudal Paraxial Mesoderm. Neuron. 19(3). 487–502. 92 indexed citations
19.
Ericson, Johan, Jonas Muhr, Thomas M. Jessell, & Helena Edlund. (1995). Sonic hedgehog: a common signal for ventral patterning along the rostrocaudal axis of the neural tube. The International Journal of Developmental Biology. 39(5). 809–816. 115 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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