Daniel Reumann

1.4k total citations · 1 hit paper
11 papers, 840 citations indexed

About

Daniel Reumann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel Reumann has authored 11 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel Reumann's work include Pluripotent Stem Cells Research (3 papers), Cardiac Fibrosis and Remodeling (2 papers) and 3D Printing in Biomedical Research (2 papers). Daniel Reumann is often cited by papers focused on Pluripotent Stem Cells Research (3 papers), Cardiac Fibrosis and Remodeling (2 papers) and 3D Printing in Biomedical Research (2 papers). Daniel Reumann collaborates with scholars based in Austria, United Kingdom and Sweden. Daniel Reumann's co-authors include Juergen A. Knoblich, Shan Bian, Julie Lévi‐Strauss, Joshua A. Bagley, Prayag Murawala, Katharina Meixner, Yuka Taniguchi, Paweł Pasierbek, François Bonnay and Elly M. Tanaka and has published in prestigious journals such as Cell, Advanced Materials and Nature Cell Biology.

In The Last Decade

Daniel Reumann

10 papers receiving 827 citations

Hit Papers

Fused cerebral organoids model interactions between brain... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Reumann Austria 8 584 312 161 153 77 11 840
Bruna Paulsen Brazil 9 823 1.4× 283 0.9× 207 1.3× 221 1.4× 72 0.9× 15 1.1k
Magdalena Sutcliffe United Kingdom 5 570 1.0× 252 0.8× 185 1.1× 188 1.2× 56 0.7× 7 796
Kimberly R. Cordes Metzler United States 3 758 1.3× 308 1.0× 225 1.4× 206 1.3× 63 0.8× 3 1.0k
Daphne Quang United States 4 629 1.1× 337 1.1× 234 1.5× 239 1.6× 105 1.4× 5 1.0k
Elisabeth M. Walczak United States 7 617 1.1× 263 0.8× 183 1.1× 142 0.9× 52 0.7× 8 908
Cooper W Bloyd United States 3 619 1.1× 311 1.0× 262 1.6× 261 1.7× 97 1.3× 3 971
Madeline G. Andrews United States 15 632 1.1× 190 0.6× 143 0.9× 225 1.5× 67 0.9× 18 974
Mayuri Vijay Thete United States 8 630 1.1× 312 1.0× 249 1.5× 172 1.1× 57 0.7× 9 919
Neal D. Amin United States 11 596 1.0× 242 0.8× 236 1.5× 185 1.2× 35 0.5× 14 906
Samuel Sances United States 9 648 1.1× 602 1.9× 318 2.0× 108 0.7× 104 1.4× 11 1.3k

Countries citing papers authored by Daniel Reumann

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Reumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Reumann

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

All Works

11 of 11 papers shown
1.
Reumann, Daniel, et al.. (2025). A cost- and time-efficient method for high-throughput cryoprocessing and tissue analysis using multiplexed tissue molds. Cell Reports Methods. 5(4). 101023–101023.
2.
Lindenhofer, Dominik, Christopher Esk, Jamie B. Littleboy, et al.. (2024). Cerebral organoids display dynamic clonal growth and tunable tissue replenishment. Nature Cell Biology. 26(5). 710–718. 13 indexed citations
3.
Reumann, Daniel, Christian Krauditsch, Maria Novatchkova, et al.. (2023). In vitro modeling of the human dopaminergic system using spatially arranged ventral midbrain–striatum–cortex assembloids. Nature Methods. 20(12). 2034–2047. 51 indexed citations
4.
Callens, Sebastien J. P., Martina Cihova, Daniel Reumann, et al.. (2023). Microfibrous Scaffolds Guide Stem Cell Lumenogenesis and Brain Organoid Engineering. Advanced Materials. 35(41). e2300305–e2300305. 21 indexed citations
5.
Schmidt, Clara, Alison Deyett, Maria Novatchkova, et al.. (2023). Multi-chamber cardioids unravel human heart development and cardiac defects. Cell. 186(25). 5587–5605.e27. 74 indexed citations
6.
Bindics, János, Mamoona Khan, Simon Uhse, et al.. (2022). Many ways to TOPLESS – manipulation of plant auxin signalling by a cluster of fungal effectors. New Phytologist. 236(4). 1455–1470. 15 indexed citations
7.
Schmidt, Clara, Alison Deyett, Lavinia Ceci Ginistrelli, et al.. (2022). Multi-Chamber Cardioids Unravel Human Heart Development and Cardiac Defects. SSRN Electronic Journal. 3 indexed citations
8.
Alcântara, André, Jason Bosch, Gesa Hoffmann, et al.. (2019). Systematic Y2H Screening Reveals Extensive Effector-Complex Formation. Frontiers in Plant Science. 10. 1437–1437. 14 indexed citations
9.
Masselink, Wouter, Daniel Reumann, Prayag Murawala, et al.. (2019). Broad applicability of a streamlined Ethyl Cinnamate-based clearing procedure. Development. 146(3). 88 indexed citations
10.
Bagley, Joshua A., Daniel Reumann, & Juergen A. Knoblich. (2017). Detailed Cerebral Organoid Fusion Method. Protocol Exchange. 1 indexed citations
11.
Bagley, Joshua A., Daniel Reumann, Shan Bian, Julie Lévi‐Strauss, & Juergen A. Knoblich. (2017). Fused cerebral organoids model interactions between brain regions. Nature Methods. 14(7). 743–751. 560 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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