Daniel Reumann

1.5k citations
13 papers · 1.1k · 1 hit paper · h-index 9

Impact in

Papers in

Daniel Reumann

12 papers receiving 1k citations

Daniel Reumann's Hit Papers

Fused cerebral organoids model interactions between brain regions 2017 · 625 citations
6250+3+6Years since publication200400600

Peers

Daniel Reumann
Comparison fields: 5 of 71
  • Developmental Neuroscience 239
  • Biophysics 75
  • Molecular Biology 551
  • Biomedical Engineering 236
  • Cellular and Molecular Neuroscience 64
Replace Kimberly R. Cordes Metzler with:
Kimberly R. Cordes Metzler United States
Stefano L. Giandomenico Germany
Mika Soen Japan
Tomoki Otani United Kingdom
Magdalena A. Sutcliffe United Kingdom
Julie Lévi‐Strauss France
Taisuke Kadoshima Japan
Mami Matsuo‐Takasaki Japan
Gregory R. Hamersky United States
Marina Bershteyn United States
Daniel Reumann relative to Kimberly R. Cordes Metzler United States Kimberly R. Cordes Metzler's profile →
Citations per field
00.5×1.5×
Kimberly R. Cordes Metzler · 1×
Citations per year

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-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.

Border = papers with Daniel Reumann Line = papers co-authored together Daniel Reumann links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Fused cerebral organoids model interactions between brain regions
Hit paper breakdown →
2017625
2 2023116
3 2019106
4 202371
5 202153
6 202328
7 202221
8 201917
9 202415
10 20171
11 20251
12 20261
13 20250

About Daniel Reumann

Daniel Reumann is a scholar working on Developmental Neuroscience, Anatomy, Molecular Biology, Biophysics and Biomaterials, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (4 papers), Pluripotent Stem Cells Research (3 papers), Plant-Microbe Interactions and Immunity (2 papers), 3D Printing in Biomedical Research (2 papers), Plant Molecular Biology Research (1 paper), Spine and Intervertebral Disc Pathology (1 paper), Plant Disease Resistance and Genetics (1 paper) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Developmental Neuroscience (239 citations), Biophysics (75 citations), Molecular Biology (551 citations), Biomedical Engineering (236 citations) and Cellular and Molecular Neuroscience (64 citations). Daniel Reumann has collaborated with scholars based in Austria, United Kingdom and Germany. Frequent co-authors include Juergen A. Knoblich, Joshua A. Bagley, Julie Lévi‐Strauss, Shan Bian, Elly Margaret Tanaka, Paweł Pasierbek, Prayag Murawala, Yuka Taniguchi, Wouter Masselink and François Bonnay. Their work appears in journals such as Nature Methods, Nature Cell Biology, Development, Nature Communications 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.

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