Daniel Wehner

2.1k citations
37 papers · 1.5k · h-index 18

Impact in

Papers in

Daniel Wehner

36 papers receiving 1.5k citations

Peers

Daniel Wehner
Comparison fields: 5 of 113
  • Developmental Neuroscience 220
  • Cell Biology 467
  • Neurology 120
  • Cellular and Molecular Neuroscience 250
  • Molecular Biology 734
Replace Chika Yokota with:
Chika Yokota Japan
Christine Vincent France
Masataka Okabe Japan
Juan De Dios Vial Larraín Chile
Verónica Palma Chile
Aimin Liu United States
Xavier Warot France
Ruxandra F. Sîrbulescu United States
Eric Bellefroid Belgium
James W. Godwin Australia
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Wehner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Wehner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Wehner, 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 Wehner Line = papers co-authored together Daniel Wehner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018225
2 2014149
3 2017132
4 2015122
5 201392
6 201491
7 201689
8 201179
9 201375
10 202162
11 201460
12 198455
13 202150
14 202132
15 201430
16 202326
17 202123
18 202020
19 201915
20 201110

About Daniel Wehner

Daniel Wehner is a scholar working on Cell Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience, Surfaces, Coatings and Films and Molecular Biology, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (9 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), Nerve injury and regeneration (8 papers), Developmental Biology and Gene Regulation (7 papers), Spinal Cord Injury Research (5 papers), Hippo pathway signaling and YAP/TAZ (5 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Polymer Surface Interaction Studies (4 papers). The work is most often cited by research in Developmental Neuroscience (220 citations), Cell Biology (467 citations), Neurology (120 citations), Cellular and Molecular Neuroscience (250 citations) and Molecular Biology (734 citations). Daniel Wehner has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Gilbert Weidinger, Catherina Gwynne Becker, Thomas S Becker, Themistoklis M. Tsarouchas, Günes Özhan, Christa Haase, Glenn C. Hamilton, Michael Kühl, Leonardo Cavone and Marcus Keatinge. Their work appears in journals such as Cell Reports, Development, Developmental Cell, Nature Communications and Journal of Visualized Experiments.

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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