Laura Stappert

503 total citations
9 papers, 401 citations indexed

About

Laura Stappert is a scholar working on Molecular Biology, Cancer Research and Developmental Neuroscience. According to data from OpenAlex, Laura Stappert has authored 9 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Developmental Neuroscience. Recurrent topics in Laura Stappert's work include MicroRNA in disease regulation (6 papers), Pluripotent Stem Cells Research (5 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). Laura Stappert is often cited by papers focused on MicroRNA in disease regulation (6 papers), Pluripotent Stem Cells Research (5 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). Laura Stappert collaborates with scholars based in Germany. Laura Stappert's co-authors include Oliver Brüstle, Lodovica Borghese, Philipp Koch, Michael Peitz, Markus Uhrberg, Sandra Weinhold, Peter Wernet, Oliver Brüstle, Oliver Rippel and Niels König and has published in prestigious journals such as PLoS ONE, Cell and Tissue Research and Frontiers in Neuroscience.

In The Last Decade

Laura Stappert

9 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laura Stappert Germany	9	309	179	76	57	45	9	401
Yuqin Men United States	10	364 1.2×	166 0.9×	42 0.6×	22 0.4×	48 1.1×	18	483
Ángela del Águila United States	9	208 0.7×	169 0.9×	55 0.7×	31 0.5×	56 1.2×	20	442
Sandra Gómez‐López United Kingdom	6	514 1.7×	48 0.3×	39 0.5×	57 1.0×	23 0.5×	7	601
Mark Marzano United States	9	228 0.7×	74 0.4×	72 0.9×	76 1.3×	49 1.1×	11	348
Amélie Wegener France	7	458 1.5×	86 0.5×	194 2.6×	21 0.4×	69 1.5×	12	621
Björn Brändl Germany	10	505 1.6×	47 0.3×	85 1.1×	121 2.1×	81 1.8×	17	591
Ilja Mikenberg Germany	7	209 0.7×	97 0.5×	123 1.6×	17 0.3×	76 1.7×	7	456
Daniel C. Factor United States	9	634 2.1×	97 0.5×	274 3.6×	75 1.3×	121 2.7×	11	776
Marina Cardano Italy	9	183 0.6×	37 0.2×	28 0.4×	46 0.8×	32 0.7×	14	341
Nicolas Daviaud United States	8	264 0.9×	44 0.2×	130 1.7×	107 1.9×	145 3.2×	11	463

Countries citing papers authored by Laura Stappert

Since Specialization

Citations

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

Fields of papers citing papers by Laura Stappert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Stappert

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

All Works

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9 of 9 papers shown

Rippel, Oliver, Michael Kulik, Michael Peitz, et al.. (2020). The StemCellFactory: A Modular System Integration for Automated Generation and Expansion of Human Induced Pluripotent Stem Cells. Frontiers in Bioengineering and Biotechnology. 8. 580352–580352. 29 indexed citations

Rippel, Oliver, Niels König, Simone Haupt, et al.. (2020). Deep-learning-based multi-class segmentation for automated, non-invasive routine assessment of human pluripotent stem cell culture status. Computers in Biology and Medicine. 129. 104172–104172. 34 indexed citations

Stappert, Laura, et al.. (2018). MicroRNAs Engage in Complex Circuits Regulating Adult Neurogenesis. Frontiers in Neuroscience. 12. 707–707. 31 indexed citations

Stappert, Laura, et al.. (2017). Notch/Hes signaling and miR-9 engage in complex feedback interactions controlling neural progenitor cell proliferation and differentiation. PubMed. 4(1). e1313647–e1313647. 41 indexed citations

Stappert, Laura, Thomas Berger, Nils Braun, et al.. (2016). Reciprocal Regulation between Bifunctional miR-9/9∗ and its Transcriptional Modulator Notch in Human Neural Stem Cell Self-Renewal and Differentiation. Stem Cell Reports. 7(2). 207–219. 42 indexed citations

Wagner, Nicole, Daniela Malan, Katharina Döll, et al.. (2014). Robust Generation of Cardiomyocytes from Human iPS Cells Requires Precise Modulation of BMP and WNT Signaling. Stem Cell Reviews and Reports. 11(4). 560–569. 51 indexed citations

Stappert, Laura, et al.. (2014). The role of microRNAs in human neural stem cells, neuronal differentiation and subtype specification. Cell and Tissue Research. 359(1). 47–64. 80 indexed citations

Stappert, Laura, Lodovica Borghese, Sandra Weinhold, et al.. (2013). MicroRNA-Based Promotion of Human Neuronal Differentiation and Subtype Specification. PLoS ONE. 8(3). e59011–e59011. 60 indexed citations

Stappert, Laura, et al.. (2013). Pluripotent Stem Cell-Derived Somatic Stem Cells as Tool to Study the Role of MicroRNAs in Early Human Neural Development. Current Molecular Medicine. 13(5). 707–722. 33 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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