Beat Kunz

1.8k citations
33 papers · 1.6k · h-index 21

Impact in

Papers in

Beat Kunz

33 papers receiving 1.5k citations

Peers

Beat Kunz
Comparison fields: 5 of 104
  • Developmental Neuroscience 236
  • Immunology and Allergy 212
  • Cellular and Molecular Neuroscience 685
  • Cell Biology 474
  • Molecular Biology 796
Replace Ralf S. Schmid with:
Ralf S. Schmid United States
Santiago Quiroga Argentina
Maya Shelly United States
Yukako Yokota United States
Saeko Kawabata Japan
Weichun Lin United States
Samantha A. Spangler Netherlands
Paul S. Amieux United States
Zachary P. Wills United States
Colette Bouillot France
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Citations per field
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Citations per year

Countries citing papers authored by Beat Kunz

Since Specialization
Citations

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

Fields of papers citing papers by Beat Kunz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008118
2 1996117
3 2011115
4 199896
5 200989
6
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
201489
7 200788
8 201086
9 199379
10 200079
11 199666
12 199665
13 199656
14 201256
15 200249
16 199944
17 199940
18 201235
19 199731
20 201027

About Beat Kunz

Beat Kunz is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (12 papers), Glycosylation and Glycoproteins Research (6 papers), Cellular transport and secretion (6 papers), Cellular Mechanics and Interactions (6 papers), Cell Adhesion Molecules Research (6 papers), Alzheimer's disease research and treatments (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Developmental Neuroscience (236 citations), Immunology and Allergy (212 citations), Cellular and Molecular Neuroscience (685 citations), Cell Biology (474 citations) and Molecular Biology (796 citations). Beat Kunz has collaborated with scholars based in Switzerland, United States and Netherlands. Frequent co-authors include P. Sonderegger, Urs Ziegler, Christoph Rader, Stefan Kunz, Rico Sennrich, Andreas Zurlinden, Andrea Buchstaller, Philipp Berger, Esther T. Stoeckli and Marc Bolliger. Their work appears in journals such as The Journal of Cell Biology, The FASEB Journal, European Journal of Biochemistry, FEBS Letters and Biology Open.

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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