Beat M. Riederer

4.6k citations
105 papers · 3.9k · h-index 35

Impact in

    • Neurogenesis and neuroplasticity mechanisms
    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions
    • Cellular transport and secretion

Papers in

    • Glycosylation and Glycoproteins Research 10
    • Microtubule and mitosis dynamics 24
    • Cellular Mechanics and Interactions 16
    • Cellular transport and secretion 15
    • Skin and Cellular Biology Research 12

Beat M. Riederer

104 papers receiving 3.9k citations

Peers

Beat M. Riederer
Comparison fields: 5 of 130
  • Developmental Neuroscience 418
  • Cell Biology 1.1k
  • Cellular and Molecular Neuroscience 938
  • Neurology 270
  • Physiology 785
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Chengbiao Wu United States
Paul E. Hughes United States
Bonnie L. Firestein United States
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Citations per field
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Citations per year

Countries citing papers authored by Beat M. Riederer

Since Specialization
Citations

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

Fields of papers citing papers by Beat M. Riederer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009234
2 1986193
3 2001170
4 2003163
5 1997163
6 1988135
7 1994113
8 2003105
9 2006104
10 199588
11 199884
12 200882
13 200680
14 199376
15 200174
16 200470
17 199069
18 200267
19 199561
20 200458

About Beat M. Riederer

Beat M. Riederer is a scholar working on Molecular Biology, Cell Biology, Physiology, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 105 papers that have together received 3.9k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (24 papers), Alzheimer's disease research and treatments (19 papers), Cellular Mechanics and Interactions (16 papers), Neuroscience and Neuropharmacology Research (15 papers), Cellular transport and secretion (15 papers), Skin and Cellular Biology Research (12 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Glycosylation and Glycoproteins Research (10 papers). The work is most often cited by research in Developmental Neuroscience (418 citations), Cell Biology (1.1k citations), Cellular and Molecular Neuroscience (938 citations), Neurology (270 citations) and Physiology (785 citations). Beat M. Riederer has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Margaret Shaw, Constantin Bouras, Rochelle S. Cohen, Giorgio M. Innocenti, Irène M. Riederer, Enikò Kövari, Steven R. Goodman, Stefan Catsicas, Andrew Matus and Richard A. Marugg. Their work appears in journals such as European Journal of Neuroscience, Journal of Histochemistry & Cytochemistry, Neuroreport, Experimental Cell Research and The Journal of Comparative Neurology.

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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