Lars von Oerthel

1.2k total citations
26 papers, 885 citations indexed

About

Lars von Oerthel is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Lars von Oerthel has authored 26 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cellular and Molecular Neuroscience, 19 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Lars von Oerthel's work include Nuclear Receptors and Signaling (17 papers), Pluripotent Stem Cells Research (5 papers) and RNA regulation and disease (5 papers). Lars von Oerthel is often cited by papers focused on Nuclear Receptors and Signaling (17 papers), Pluripotent Stem Cells Research (5 papers) and RNA regulation and disease (5 papers). Lars von Oerthel collaborates with scholars based in Netherlands, United States and Belgium. Lars von Oerthel's co-authors include Marten P. Smidt, Annemarie J. A. van der Linden, J. Peter H. Burbach, Frank M. J. Jacobs, C.W. Noorlander, Marian J.A. Groot Koerkamp, Simone M. Smits, Frank C. P. Holstege, Susan van Erp and Jesse V. Veenvliet and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Development.

In The Last Decade

Lars von Oerthel

26 papers receiving 876 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lars von Oerthel Netherlands 16 548 516 143 142 58 26 885
Daniela Omodei Italy 16 525 1.0× 307 0.6× 138 1.0× 106 0.7× 47 0.8× 26 1.0k
Kevin J. O’Donovan United States 11 592 1.1× 294 0.6× 76 0.5× 126 0.9× 73 1.3× 19 958
Pierre Flandin United States 8 482 0.9× 346 0.7× 392 2.7× 184 1.3× 41 0.7× 8 903
Sumiko Mikawa Japan 18 717 1.3× 681 1.3× 208 1.5× 65 0.5× 75 1.3× 37 1.2k
Sara A. Brumbaugh United States 2 622 1.1× 271 0.5× 91 0.6× 124 0.9× 78 1.3× 6 1.0k
Katelin P. Patterson United States 11 370 0.7× 284 0.6× 203 1.4× 94 0.7× 31 0.5× 15 768
Carlos G. Pérez‐García United States 14 456 0.8× 305 0.6× 336 2.3× 193 1.4× 23 0.4× 19 890
José Á. Armengol Spain 19 433 0.8× 465 0.9× 247 1.7× 116 0.8× 71 1.2× 51 959
Marjolein A. M. Sneeboer Netherlands 13 545 1.0× 206 0.4× 258 1.8× 68 0.5× 80 1.4× 18 1.4k
Alisa Mo United States 7 643 1.2× 190 0.4× 55 0.4× 274 1.9× 76 1.3× 14 881

Countries citing papers authored by Lars von Oerthel

Since Specialization
Citations

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

Fields of papers citing papers by Lars von Oerthel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lars von Oerthel. 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 Lars von Oerthel. The network helps show where Lars von Oerthel may publish in the future.

Co-authorship network of co-authors of Lars von Oerthel

This figure shows the co-authorship network connecting the top 25 collaborators of Lars von Oerthel. A scholar is included among the top collaborators of Lars von Oerthel 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 Lars von Oerthel. Lars von Oerthel 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
2.
Oerthel, Lars von, et al.. (2023). Neuronal Dot1l Activity Acts as a Mitochondrial Gene-Repressor Associated with Human Brain Aging via H3K79 Hypermethylation. International Journal of Molecular Sciences. 24(2). 1387–1387. 4 indexed citations
3.
Oerthel, Lars von, et al.. (2021). Nkx2.9 Contributes to Mid-Hindbrain Patterning by Regulation of mdDA Neuronal Cell-Fate and Repression of a Hindbrain-Specific Cell-Fate. International Journal of Molecular Sciences. 22(23). 12663–12663. 1 indexed citations
4.
Oerthel, Lars von, et al.. (2019). EZH2 Influences mdDA Neuronal Differentiation, Maintenance and Survival. Frontiers in Molecular Neuroscience. 11. 491–491. 11 indexed citations
5.
Oerthel, Lars von, et al.. (2018). Survival of midbrain dopamine neurons depends on the Bcl2 factor Mcl1. Cell Death Discovery. 4(1). 107–107. 18 indexed citations
6.
Sanctis, Claudia De, Floriana Volpicelli, Ezia Guatteo, et al.. (2018). miR-34b/c Regulates Wnt1 and Enhances Mesencephalic Dopaminergic Neuron Differentiation. Stem Cell Reports. 10(4). 1237–1250. 45 indexed citations
7.
Oerthel, Lars von, et al.. (2017). Pitx3 and En1 determine the size and molecular programming of the dopaminergic neuronal pool. PLoS ONE. 12(8). e0182421–e0182421. 13 indexed citations
8.
Heide, Lars P. van der, Patrick J. Wijchers, Lars von Oerthel, et al.. (2014). FoxK2 is Required for Cellular Proliferation and Survival. Journal of Cellular Physiology. 230(5). 1013–1023. 27 indexed citations
9.
Oerthel, Lars von, et al.. (2014). Distinct Temporal Expression of 5-HT1A and 5-HT2A Receptors on Cerebellar Granule Cells in Mice. The Cerebellum. 13(4). 491–500. 13 indexed citations
11.
Veenvliet, Jesse V., Lars von Oerthel, Jamie Lim, et al.. (2013). Specification of dopaminergic subsets involves interplay of En1 and Pitx3. Development. 140(16). 3373–3384. 71 indexed citations
12.
Oerthel, Lars von, Lars P. van der Heide, Jesse V. Veenvliet, et al.. (2013). Lmx1a Encodes a Rostral Set of Mesodiencephalic Dopaminergic Neurons Marked by the Wnt/B-Catenin Signaling Activator R-spondin 2. PLoS ONE. 8(9). e74049–e74049. 34 indexed citations
13.
Chakrabarty, Koushik, Lars von Oerthel, Anita J. C. G. M. Hellemons, et al.. (2012). Genome wide expression profiling of the mesodiencephalic region identifies novel factors involved in early and late dopaminergic development. Biology Open. 1(8). 693–704. 36 indexed citations
14.
Smidt, Marten P., et al.. (2012). Spatial and Temporal Lineage Analysis of a Pitx3-Driven Cre-Recombinase Knock-In Mouse Model. PLoS ONE. 7(8). e42641–e42641. 20 indexed citations
15.
Oerthel, Lars von, et al.. (2012). Phox2b Influences the Development of a Caudal Dopaminergic Subset. PLoS ONE. 7(12). e52118–e52118. 11 indexed citations
16.
Smit‐Rigter, Laura, C.W. Noorlander, Lars von Oerthel, et al.. (2011). Prenatal fluoxetine exposure induces life-long serotonin 5-HT3 receptor-dependent cortical abnormalities and anxiety-like behaviour. Neuropharmacology. 62(2). 865–870. 69 indexed citations
17.
Jacobs, Frank M. J., Annemarie J. A. van der Linden, Yuhui Wang, et al.. (2009). Identification ofDlk1, PtpruandKlhl1as novel Nurr1 target genes in meso-diencephalic dopamine neurons. Development. 136(14). 2363–2373. 83 indexed citations
18.
Jacobs, Frank M. J., Susan van Erp, Annemarie J. A. van der Linden, et al.. (2009). Pitx3 potentiates Nurr1 in dopamine neuron terminal differentiation through release of SMRT-mediated repression. Development. 136(4). 531–540. 134 indexed citations
19.
Vastenhouw, Brendan, Frans van der Have, Annemarie J. A. van der Linden, et al.. (2007). Movies of dopamine transporter occupancy with ultra-high resolution focusing pinhole SPECT. Molecular Psychiatry. 12(11). 984–987. 31 indexed citations
20.
Smits, Simone M., et al.. (2005). Signalling through phospholipase C beta 4 is not essential for midbrain dopaminergic neuron survival. Neuroscience. 136(1). 171–179. 4 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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