Lena Böhnke

1.4k total citations · 1 hit paper
6 papers, 813 citations indexed

About

Lena Böhnke is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Lena Böhnke has authored 6 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Developmental Neuroscience. Recurrent topics in Lena Böhnke's work include Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Lena Böhnke is often cited by papers focused on Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Lena Böhnke collaborates with scholars based in United States, Austria and Germany. Lena Böhnke's co-authors include Jérôme Mertens, Fred H. Gage, Joseph R. Herdy, Sean McGrath, Apuã C.M. Paquola, Manching Ku, Martin W. Hetzer, Emily M. Hatch, J. Tiago Gonçalves and Tomohisa Toda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cell stem cell and Methods in molecular biology.

In The Last Decade

Lena Böhnke

6 papers receiving 806 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Directly Reprogrammed Human Neurons Retain Aging-Associated Transcriptomic Signatures and Reveal Age-Related Nucleocytoplasmic Defects

2015 517 citations Jérôme Mertens, Apuã C.M. Paquola et al. Cell stem cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lena Böhnke United States	4	616	279	128	124	106	6	813
Sarah Kishinevsky United States	6	745 1.2×	300 1.1×	108 0.8×	141 1.1×	208 2.0×	7	1.1k
Jaideep Kesavan Germany	11	906 1.5×	395 1.4×	199 1.6×	99 0.8×	61 0.6×	16	1.1k
Nayeon Lee South Korea	11	570 0.9×	371 1.3×	118 0.9×	87 0.7×	103 1.0×	20	755
Francesca S. Boscolo United States	7	804 1.3×	299 1.1×	174 1.4×	402 3.2×	51 0.5×	9	1.1k
Priya Srikanth United States	13	589 1.0×	218 0.8×	127 1.0×	247 2.0×	38 0.4×	16	866
Shong Lau Sweden	9	672 1.1×	334 1.2×	308 2.4×	64 0.5×	47 0.4×	9	844
César González Chile	13	393 0.6×	301 1.1×	207 1.6×	143 1.2×	81 0.8×	19	796
Sarah Nickels Luxembourg	12	359 0.6×	209 0.7×	114 0.9×	60 0.5×	161 1.5×	16	633
Kent Imaizumi Japan	14	395 0.6×	201 0.7×	137 1.1×	68 0.5×	84 0.8×	23	591
Michael Glatza Germany	6	433 0.7×	186 0.7×	186 1.5×	58 0.5×	133 1.3×	7	636

Countries citing papers authored by Lena Böhnke

Since Specialization

Citations

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

Fields of papers citing papers by Lena Böhnke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lena Böhnke

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

All Works

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6 of 6 papers shown

1.

Böhnke, Lena, Silvia Pelucchi, Joseph R. Herdy, et al.. (2022). Chemical Replacement of Noggin with Dorsomorphin Homolog 1 for Cost-Effective Direct Neuronal Conversion. Cellular Reprogramming. 24(5). 304–313. 2 indexed citations

2.

Böhnke, Lena, et al.. (2022). Neurochemical classification of serotonin‐immunoreactive neurons co‐innervating motor endplates in the mouse esophagus. The Anatomical Record. 306(5). 960–971. 1 indexed citations

3.

Böhnke, Lena, et al.. (2021). Direct Conversion of Human Fibroblasts to Induced Neurons. Methods in molecular biology. 2352. 73–96. 9 indexed citations

4.

Böhnke, Lena, Larissa Traxler, Joseph R. Herdy, & Jérôme Mertens. (2018). Human neurons to model aging: A dish best served old. Drug Discovery Today Disease Models. 27. 43–49. 16 indexed citations

5.

Bardy, Cédric, Mark van den Hurk, Tameji Eames, et al.. (2015). Neuronal medium that supports basic synaptic functions and activity of human neurons in vitro. Proceedings of the National Academy of Sciences. 112(20). E2725–34. 268 indexed citations

6.

Mertens, Jérôme, Apuã C.M. Paquola, Manching Ku, et al.. (2015). Directly Reprogrammed Human Neurons Retain Aging-Associated Transcriptomic Signatures and Reveal Age-Related Nucleocytoplasmic Defects. Cell stem cell. 17(6). 705–718. 517 indexed citations breakdown →

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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