Margot Mayer‐Pröschel

4.8k total citations
51 papers, 3.8k citations indexed

About

Margot Mayer‐Pröschel is a scholar working on Molecular Biology, Developmental Neuroscience and Cancer Research. According to data from OpenAlex, Margot Mayer‐Pröschel has authored 51 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 23 papers in Developmental Neuroscience and 13 papers in Cancer Research. Recurrent topics in Margot Mayer‐Pröschel's work include Neurogenesis and neuroplasticity mechanisms (23 papers), MicroRNA in disease regulation (11 papers) and Pluripotent Stem Cells Research (7 papers). Margot Mayer‐Pröschel is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (23 papers), MicroRNA in disease regulation (11 papers) and Pluripotent Stem Cells Research (7 papers). Margot Mayer‐Pröschel collaborates with scholars based in United States, United Kingdom and Russia. Margot Mayer‐Pröschel's co-authors include Mark Noble, Rao Ms, Tahmina Mujtaba, Jöerg Dietrich, Mahendra S. Rao, Christoph Pröschel, Joel Smith, Ena Ladi, Anjali J. Kalyani and Ruolan Han and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Margot Mayer‐Pröschel

51 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Margot Mayer‐Pröschel United States 30 1.6k 1.3k 753 738 483 51 3.8k
Akihiko Taguchi Japan 40 2.3k 1.4× 1.2k 0.9× 1.4k 1.9× 750 1.0× 459 1.0× 115 6.8k
Teresa L. Wood United States 44 2.5k 1.5× 959 0.7× 220 0.3× 657 0.9× 700 1.4× 113 5.1k
Ben H. Choi United States 27 1.0k 0.6× 683 0.5× 197 0.3× 611 0.8× 165 0.3× 51 2.7k
Chunling Zhang United States 25 1.1k 0.7× 542 0.4× 204 0.3× 452 0.6× 583 1.2× 49 2.8k
Yamei Tang China 32 916 0.6× 246 0.2× 334 0.4× 393 0.5× 257 0.5× 138 4.0k
Pablo M. Paez United States 28 805 0.5× 771 0.6× 184 0.2× 623 0.8× 213 0.4× 55 2.2k
Erich Giedzinski United States 30 1.2k 0.7× 648 0.5× 338 0.4× 140 0.2× 448 0.9× 44 2.8k
Katja M. Kanninen Finland 35 2.0k 1.2× 218 0.2× 218 0.3× 473 0.6× 461 1.0× 106 4.0k
Quan Jiang United States 37 1.2k 0.8× 568 0.4× 646 0.9× 619 0.8× 386 0.8× 135 4.7k
Edwige Petit France 32 1.3k 0.8× 353 0.3× 644 0.9× 465 0.6× 769 1.6× 67 4.0k

Countries citing papers authored by Margot Mayer‐Pröschel

Since Specialization
Citations

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

Fields of papers citing papers by Margot Mayer‐Pröschel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margot Mayer‐Pröschel. 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 Margot Mayer‐Pröschel. The network helps show where Margot Mayer‐Pröschel may publish in the future.

Co-authorship network of co-authors of Margot Mayer‐Pröschel

This figure shows the co-authorship network connecting the top 25 collaborators of Margot Mayer‐Pröschel. A scholar is included among the top collaborators of Margot Mayer‐Pröschel 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 Margot Mayer‐Pröschel. Margot Mayer‐Pröschel 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
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2.
Klocke, Carolyn, Joshua L. Allen, Marissa Sobolewski, et al.. (2017). Neuropathological Consequences of Gestational Exposure to Concentrated Ambient Fine and Ultrafine Particles in the Mouse. Toxicological Sciences. 156(2). kfx010–kfx010. 75 indexed citations
3.
Folts, Christopher J., Nicole Scott‐Hewitt, Christoph Pröschel, Margot Mayer‐Pröschel, & Mark Noble. (2016). Lysosomal Re-acidification Prevents Lysosphingolipid-Induced Lysosomal Impairment and Cellular Toxicity. PLoS Biology. 14(12). e1002583–e1002583. 57 indexed citations
4.
Allen, Jan L., Günter Oberdörster, Keith Morris‐Schaffer, et al.. (2015). Developmental neurotoxicity of inhaled ambient ultrafine particle air pollution: Parallels with neuropathological and behavioral features of autism and other neurodevelopmental disorders. NeuroToxicology. 59. 140–154. 192 indexed citations
5.
6.
Wang, Guanghu, Michael B. Dinkins, Qian He, et al.. (2012). Astrocytes Secrete Exosomes Enriched with Proapoptotic Ceramide and Prostate Apoptosis Response 4 (PAR-4). Journal of Biological Chemistry. 287(25). 21384–21395. 300 indexed citations
7.
Strathmann, Frederick G., et al.. (2011). Identifying a Window of Vulnerability during Fetal Development in a Maternal Iron Restriction Model. PLoS ONE. 6(3). e17483–e17483. 47 indexed citations
8.
Latchney, Sarah E., Daniel T. Lioy, Ellen C. Henry, et al.. (2010). Neural Precursor Cell Proliferation Is Disrupted Through Activation of the Aryl Hydrocarbon Receptor by 2,3,7,8-Tetrachlorodibenzo- p -Dioxin. Stem Cells and Development. 20(2). 313–326. 40 indexed citations
9.
Hyrien, Ollivier, et al.. (2009). Saddlepoint Approximations to the Moments of Multitype Age‐Dependent Branching Processes, with Applications. Biometrics. 66(2). 567–577. 15 indexed citations
10.
Strathmann, Frederick G., Xi Wang, & Margot Mayer‐Pröschel. (2007). Identification of two novel glial-restricted cell populations in the embryonic telencephalon arising from unique origins. BMC Developmental Biology. 7(1). 33–33. 23 indexed citations
11.
Dietrich, Jöerg, Ruolan Han, Yin Yang, Margot Mayer‐Pröschel, & Mark Noble. (2006). CNS progenitor cells and oligodendrocytes are targets of chemotherapeutic agents in vitro and in vivo. Journal of Biology. 5(7). 22–22. 393 indexed citations
12.
Hyrien, Ollivier, Margot Mayer‐Pröschel, Mark Noble, & Andrei Yakovlev. (2005). Estimating the life-span of oligodendrocytes from clonal data on their development in cell culture. Mathematical Biosciences. 193(2). 255–274. 17 indexed citations
13.
Hyrien, Ollivier, Margot Mayer‐Pröschel, Mark Noble, & Andrei Yakovlev. (2005). A Stochastic Model to Analyze Clonal Data on Multi‐Type Cell Populations. Biometrics. 61(1). 199–207. 32 indexed citations
14.
Dietrich, Jöerg, Mark Noble, & Margot Mayer‐Pröschel. (2002). Characterization of A2B5+ glial precursor cells from cryopreserved human fetal brain progenitor cells. Glia. 40(1). 65–77. 81 indexed citations
15.
Mayer‐Pröschel, Margot, et al.. (2000). Gliogenesis in the central nervous system. Glia. 30(2). 105–121. 153 indexed citations
16.
Rao, Mahendra S. & Margot Mayer‐Pröschel. (2000). Precursor cells for transplantation. Progress in brain research. 128. 273–292. 29 indexed citations
17.
Mujtaba, Tahmina, Margot Mayer‐Pröschel, & Rao Ms. (1998). A Common Neural Progenitor for the CNS and PNS. Developmental Biology. 200(1). 1–15. 140 indexed citations
18.
Yakovlev, Andrej Yu., Margot Mayer‐Pröschel, & Mark Noble. (1998). A stochastic model of brain cell differentiation in tissue culture. Journal of Mathematical Biology. 37(1). 49–60. 34 indexed citations
19.
Ms, Rao & Margot Mayer‐Pröschel. (1997). Glial-Restricted Precursors Are Derived from Multipotent Neuroepithelial Stem Cells. Developmental Biology. 188(1). 48–63. 236 indexed citations
20.
Ibarrola, Nieves, Margot Mayer‐Pröschel, Angeles Rodrı́guez-Peña, & Mark Noble. (1996). Evidence for the Existence of at Least Two Timing Mechanisms That Contribute to Oligodendrocyte Generationin Vitro. Developmental Biology. 180(1). 1–21. 98 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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