Lennart Hilbert

998 total citations
28 papers, 581 citations indexed

About

Lennart Hilbert is a scholar working on Molecular Biology, Biophysics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Lennart Hilbert has authored 28 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Biophysics and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Lennart Hilbert's work include RNA Research and Splicing (7 papers), Cardiomyopathy and Myosin Studies (6 papers) and Genomics and Chromatin Dynamics (6 papers). Lennart Hilbert is often cited by papers focused on RNA Research and Splicing (7 papers), Cardiomyopathy and Myosin Studies (6 papers) and Genomics and Chromatin Dynamics (6 papers). Lennart Hilbert collaborates with scholars based in Germany, Canada and United States. Lennart Hilbert's co-authors include Vasily Zaburdaev, Nadine L. Vastenhouw, Yuko Sato, Hiroshi Kimurâ, Jens Karschau, Andrej Shevchenko, Máté Pálfy, Mukesh Kumar, David Drechsel and Jochen C. Rink and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nano Letters.

In The Last Decade

Lennart Hilbert

27 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lennart Hilbert Germany	9	410	90	73	62	48	28	581
Amy Hong United States	7	188 0.5×	131 1.5×	146 2.0×	76 1.2×	47 1.0×	20	402
Simone Köhler Germany	14	444 1.1×	80 0.9×	65 0.9×	300 4.8×	64 1.3×	22	764
Michaela Mickoleit Germany	9	306 0.7×	119 1.3×	272 3.7×	160 2.6×	39 0.8×	9	610
Clotilde Cadart France	10	323 0.8×	84 0.9×	47 0.6×	245 4.0×	30 0.6×	14	575
Caroline Laplante United States	9	279 0.7×	39 0.4×	49 0.7×	324 5.2×	23 0.5×	19	487
Matthäus Mittasch Germany	8	468 1.1×	87 1.0×	14 0.2×	118 1.9×	42 0.9×	9	688
Brian R. Graziano United States	10	236 0.6×	33 0.4×	41 0.6×	319 5.1×	32 0.7×	11	446
Gaëlle Letort France	15	333 0.8×	144 1.6×	48 0.7×	547 8.8×	43 0.9×	31	787
Seham Ebrahim United States	12	350 0.9×	82 0.9×	17 0.2×	170 2.7×	12 0.3×	18	627
Jenna R. Christensen United States	10	303 0.7×	53 0.6×	121 1.7×	511 8.2×	68 1.4×	15	639

Countries citing papers authored by Lennart Hilbert

Since Specialization

Citations

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

Fields of papers citing papers by Lennart Hilbert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lennart Hilbert

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

All Works

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20 of 20 papers shown

Hilbert, Lennart, et al.. (2025). Chromatin‐associated condensates as an inspiration for the system architecture of future DNA computers. Annals of the New York Academy of Sciences. 1552(1). 12–28. 1 indexed citations

Hilbert, Lennart. (2024). Der Zellkern als Vorbild für zukünftige DNA-Computerchips?. BIOspektrum. 30(1). 19–22. 1 indexed citations

Hilbert, Lennart, et al.. (2023). Noise facilitates entrainment of a population of uncoupled limit cycle oscillators. Journal of The Royal Society Interface. 20(198). 20220781–20220781. 3 indexed citations

Mikut, Ralf, et al.. (2023). Synchronization of oscillatory growth prepares fungal hyphae for fusion. eLife. 12. 6 indexed citations

Kobitski, Andrei Yu, et al.. (2023). Stimulated emission double depletion nanoscopy with background correction at the single-pixel level. Optics Letters. 48(21). 5791–5791. 1 indexed citations

Prizak, Roshan, et al.. (2022). Deep-learning microscopy image reconstruction with quality control reveals second-scale rearrangements in RNA polymerase II clusters. PNAS Nexus. 1(3). pgac065–pgac065. 7 indexed citations

Dreher, Yannik, et al.. (2022). A DNA Segregation Module for Synthetic Cells. Small. 19(13). e2202711–e2202711. 31 indexed citations

Hilbert, Lennart, et al.. (2022). Easing the Reuse of ML Solutions by Interactive Clustering-based Autotuning in Scientific Applications. 38. 5–12.

Hilbert, Lennart, Yuko Sato, Hiroshi Kimurâ, et al.. (2021). Author Correction: Transcription organizes euchromatin via microphase separation. Nature Communications. 12(1). 4240–4240. 2 indexed citations

10.

Hilbert, Lennart, Yuko Sato, Hiroshi Kimurâ, et al.. (2021). Transcription organizes euchromatin via microphase separation. Nature Communications. 12(1). 1360–1360. 92 indexed citations

11.

Vallone, Daniela, et al.. (2021). A stochastic oscillator model simulates the entrainment of vertebrate cellular clocks by light. Scientific Reports. 11(1). 14497–14497. 4 indexed citations

12.

Zaburdaev, Vasily, et al.. (2021). The hierarchical packing of euchromatin domains can be described as multiplicative cascades. PLoS Computational Biology. 17(5). e1008974–e1008974. 3 indexed citations

13.

Sato, Yuko, Lennart Hilbert, Haruka Oda, et al.. (2019). Histone H3K27 acetylation precedes active transcription during zebrafish zygotic genome activation as revealed by live-cell analysis. Development. 146(19). 69 indexed citations

14.

Zhang, Weichun, et al.. (2019). Super-resolution imaging of densely packed DNA in nuclei of zebrafish embryos using stimulated emission double depletion microscopy. Journal of Physics D Applied Physics. 52(41). 414001–414001. 7 indexed citations

15.

Pálfy, Máté, Lennart Hilbert, Mukesh Kumar, et al.. (2017). Competition between histone and transcription factor binding regulates the onset of transcription in zebrafish embryos. eLife. 6. 104 indexed citations

16.

Hilbert, Lennart, et al.. (2013). The Kinetics of Mechanically Coupled Myosins Exhibit Group Size-Dependent Regimes. Biophysical Journal. 105(6). 1466–1474. 25 indexed citations

17.

Zitouni, Nedjma B., Lennart Hilbert, Oleg S. Matusovsky, et al.. (2013). Unphosphorylated calponin enhances the binding force of unphosphorylated myosin to actin. Biochimica et Biophysica Acta (BBA) - General Subjects. 1830(10). 4634–4641. 8 indexed citations

18.

Hilbert, Lennart, et al.. (2013). Molecular Mechanical Differences between Isoforms of Contractile Actin in the Presence of Isoforms of Smooth Muscle Tropomyosin. PLoS Computational Biology. 9(10). e1003273–e1003273. 8 indexed citations

19.

Minozzo, Fábio C., Lennart Hilbert, & Dilson E. Rassier. (2012). Pre-Power-Stroke Cross-Bridges Contribute to Force Transients during Imposed Shortening in Isolated Muscle Fibers. PLoS ONE. 7(1). e29356–e29356. 13 indexed citations

20.

Hilbert, Lennart, David Albrecht, & Michael C. Mackey. (2011). Small delay, big waves: a minimal delayed negative feedback model captures Escherichia coli single cell SOS kinetics. Molecular BioSystems. 7(9). 2599–2607. 6 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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