Daniel Reumann
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Biophysics top 5%
Papers in ⓘ
-
- Pluripotent Stem Cells Research 3
- Congenital heart defects research 2
- Molecular Biology Techniques and Applications 2
- Single-cell and spatial transcriptomics 1
- Co-authors
- Juergen A. Knoblich (7 shared papers)Shan Bian (1 shared paper)Joshua A. Bagley (2 shared papers)Julie Lévi‐Strauss (1 shared paper)Katharina Meixner (1 shared paper)Yuka Taniguchi (1 shared paper)Prayag Murawala (1 shared paper)Paweł Pasierbek (1 shared paper)
- Journals
- Nature Methods (2 papers)Nature Cell Biology (1 paper)New Phytologist (1 paper)Development (1 paper)Frontiers in Plant Science (1 paper)
- Partner nations
- AustriaUnited KingdomSweden
In The Last Decade
Daniel Reumann
10 papers receiving 827 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Developmental Neuroscience 153
- Biophysics 65
- Cellular and Molecular Neuroscience 161
- Molecular Biology 584
- Biomedical Engineering 312
Countries citing papers authored by Daniel Reumann
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
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-authors
The 25 scholars most cited alongside Daniel Reumann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Fused cerebral organoids model interactions between brain regions Hit paper breakdown → | 2017 | 560 |
| 2 | 2019 | 88 | |
| 3 | 2023 | 74 | |
| 4 | 2023 | 51 | |
| 5 | 2023 | 21 | |
| 6 | 2022 | 15 | |
| 7 | 2019 | 14 | |
| 8 | 2024 | 13 | |
| 9 | 2022 | 3 | |
| 10 | 2017 | 1 | |
| 11 | 2025 | 0 |
About Daniel Reumann
Daniel Reumann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Biophysics and Biomedical Engineering, having authored 11 papers that have together received 840 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (3 papers), Cell Image Analysis Techniques (2 papers), Congenital heart defects research (2 papers), Molecular Biology Techniques and Applications (2 papers), Cardiac Fibrosis and Remodeling (2 papers), 3D Printing in Biomedical Research (2 papers), Single-cell and spatial transcriptomics (1 paper) and Plant-Microbe Interactions and Immunity (1 paper). The work is most often cited by research in Developmental Neuroscience (153 citations), Biophysics (65 citations), Cellular and Molecular Neuroscience (161 citations), Molecular Biology (584 citations) and Biomedical Engineering (312 citations). Daniel Reumann has collaborated with scholars based in Austria, United Kingdom and Sweden. Frequent co-authors include Juergen A. Knoblich, Shan Bian, Joshua A. Bagley, Julie Lévi‐Strauss, Katharina Meixner, Yuka Taniguchi, Prayag Murawala, Paweł Pasierbek, Elly M. Tanaka and Wouter Masselink. Their work appears in journals such as Nature Methods, Nature Cell Biology, New Phytologist, Development and Frontiers in Plant Science.
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.