Bas Lendemeijer

794 total citations
8 papers, 355 citations indexed

About

Bas Lendemeijer is a scholar working on Molecular Biology, Infectious Diseases and Neurology. According to data from OpenAlex, Bas Lendemeijer has authored 8 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Neurology. Recurrent topics in Bas Lendemeijer's work include SARS-CoV-2 and COVID-19 Research (2 papers), Pluripotent Stem Cells Research (2 papers) and MicroRNA in disease regulation (2 papers). Bas Lendemeijer is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (2 papers), Pluripotent Stem Cells Research (2 papers) and MicroRNA in disease regulation (2 papers). Bas Lendemeijer collaborates with scholars based in Netherlands, United States and Greece. Bas Lendemeijer's co-authors include Femke M.S. de Vrij, Steven A. Kushner, Nilhan Gunhanlar, Mark van der Kroeg, Joost Gribnau, Mehrnaz Ghazvini, Cathérine Dupont, Witte J.G. Hoogendijk, Guy Shpak and Lisa Bauer and has published in prestigious journals such as Human Molecular Genetics, Molecular Psychiatry and Human Mutation.

In The Last Decade

Bas Lendemeijer

8 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bas Lendemeijer Netherlands	7	205	92	73	69	69	8	355
Samantha L. Sison United States	9	272 1.3×	109 1.2×	25 0.3×	45 0.7×	100 1.4×	10	412
Eduardo Ribes Martínez Ireland	5	254 1.2×	86 0.9×	144 2.0×	101 1.5×	33 0.5×	8	474
Kristin G. Beaumont United States	10	385 1.9×	126 1.4×	57 0.8×	52 0.8×	37 0.5×	35	562
Leon Tejwani United States	8	323 1.6×	77 0.8×	50 0.7×	30 0.4×	27 0.4×	14	492
E. Cesana Italy	10	238 1.2×	195 2.1×	37 0.5×	41 0.6×	49 0.7×	12	519
Tal Gradus Israel	9	443 2.2×	292 3.2×	50 0.7×	100 1.4×	152 2.2×	9	699
Roland E. van Dijk Netherlands	6	297 1.4×	109 1.2×	160 2.2×	101 1.5×	35 0.5×	6	508
M Kellogg United States	3	293 1.4×	200 2.2×	51 0.7×	76 1.1×	43 0.6×	4	416
Sarah Kurtenbach United States	7	145 0.7×	43 0.5×	24 0.3×	61 0.9×	27 0.4×	10	320
Marco Onorati Italy	14	525 2.6×	294 3.2×	190 2.6×	56 0.8×	67 1.0×	29	728

Countries citing papers authored by Bas Lendemeijer

Since Specialization

Citations

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

Fields of papers citing papers by Bas Lendemeijer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bas Lendemeijer

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

Lendemeijer, Bas, Britt Mossink, Sara Hijazi, et al.. (2024). Human Pluripotent Stem Cell-Derived Astrocyte Functionality Compares Favorably with Primary Rat Astrocytes. eNeuro. 11(9). ENEURO.0148–24.2024. 6 indexed citations

Antounians, Lina, Wei Wei, Marat Mufteev, et al.. (2024). iPSC-derived healthy human astrocytes selectively load miRNAs targeting neuronal genes into extracellular vesicles. Molecular and Cellular Neuroscience. 129. 103933–103933. 5 indexed citations

Bauer, Lisa, Melanie Rissmann, Lonneke Leijten, et al.. (2022). In vitro and in vivo differences in neurovirulence between D614G, Delta And Omicron BA.1 SARS-CoV-2 variants. Acta Neuropathologica Communications. 10(1). 124–124. 35 indexed citations

Bauer, Lisa, Bas Lendemeijer, Lonneke Leijten, et al.. (2021). Replication Kinetics, Cell Tropism, and Associated Immune Responses in SARS-CoV-2- and H5N1 Virus-Infected Human Induced Pluripotent Stem Cell-Derived Neural Models. mSphere. 6(3). e0027021–e0027021. 25 indexed citations

Sonzogni, Monica, Bas Lendemeijer, Femke M.S. de Vrij, et al.. (2020). Conserved UBE3A subcellular distribution between human and mice is facilitated by non-homologous isoforms. Human Molecular Genetics. 29(18). 3032–3043. 19 indexed citations

Ghanbari, Mohsen, Buyun Ma, Bas Lendemeijer, et al.. (2019). A functional variant in the miR‐142 promoter modulating its expression and conferring risk of Alzheimer disease. Human Mutation. 40(11). 2131–2145. 24 indexed citations

García‐León, Juan Antonio, Manoj Kumar, Ruben Boon, et al.. (2018). SOX10 Single Transcription Factor-Based Fast and Efficient Generation of Oligodendrocytes from Human Pluripotent Stem Cells. Stem Cell Reports. 10(2). 655–672. 78 indexed citations

Gunhanlar, Nilhan, Guy Shpak, Mark van der Kroeg, et al.. (2017). A simplified protocol for differentiation of electrophysiologically mature neuronal networks from human induced pluripotent stem cells. Molecular Psychiatry. 23(5). 1336–1344. 163 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.

Explore authors with similar magnitude of impact