Ute Becherer

2.3k citations
48 papers · 1.7k · h-index 21

Impact in

  • Physiology top 1%
    • Calcium signaling and nucleotide metabolism
    • Cellular transport and secretion

Papers in

    • Lipid Membrane Structure and Behavior 20
    • Ion channel regulation and function 5
    • Cellular transport and secretion 25

Ute Becherer

46 papers receiving 1.7k citations

Peers

Ute Becherer
Comparison fields: 5 of 99
  • Physiology 208
  • Cell Biology 681
  • Sensory Systems 136
  • Cellular and Molecular Neuroscience 376
  • Immunology 374
Replace Dmytro Puchkov with:
Dmytro Puchkov Germany
Yasunori Saheki Singapore
Tanja Maritzen Germany
Zhongzhen Nie United States
Barbara Baryłko United States
Manojkumar A. Puthenveedu United States
Laurie L. Molday Canada
Jan Schmoranzer Germany
Carlos M. Guardia United States
Yumei Wu United States
Ute Becherer relative to Dmytro Puchkov Germany Dmytro Puchkov's profile →
Citations per field
00.5×3.4×
Dmytro Puchkov · 1×
Citations per year

Countries citing papers authored by Ute Becherer

Since Specialization
Citations

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

Fields of papers citing papers by Ute Becherer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007270
2 2011173
3 2003122
4 2005108
5 200588
6 200774
7 200672
8 201566
9 201350
10 201145
11 200843
12 202243
13 201942
14 201139
15 200839
16 201137
17 200736
18 201331
19 201331
20 200128

About Ute Becherer

Ute Becherer is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Immunology and Physiology, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cellular transport and secretion (25 papers), Lipid Membrane Structure and Behavior (20 papers), Neuroscience and Neuropharmacology Research (10 papers), Calcium signaling and nucleotide metabolism (7 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Immune Cell Function and Interaction (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Ion channel regulation and function (5 papers). The work is most often cited by research in Physiology (208 citations), Cell Biology (681 citations), Sensory Systems (136 citations), Cellular and Molecular Neuroscience (376 citations) and Immunology (374 citations). Ute Becherer has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Jens Rettig, Markus Hoth, Ariel Quintana, Ulf Matti, Eva C. Schwarz, Claudia Schirra, Martin Oheim, Christian Schwindling, Anna S. Wenning and Tobias Moser. Their work appears in journals such as Journal of Neuroscience, PLoS ONE, Cell Calcium, Traffic and Nature Communications.

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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