Ute Becherer

2.3k total citations
46 papers, 1.7k citations indexed

About

Ute Becherer is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ute Becherer has authored 46 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 25 papers in Cell Biology and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ute Becherer's work include Cellular transport and secretion (25 papers), Lipid Membrane Structure and Behavior (20 papers) and Neuroscience and Neuropharmacology Research (10 papers). Ute Becherer is often cited by papers focused on Cellular transport and secretion (25 papers), Lipid Membrane Structure and Behavior (20 papers) and Neuroscience and Neuropharmacology Research (10 papers). Ute Becherer collaborates with scholars based in Germany, France and United States. Ute Becherer's co-authors include Jens Rettig, Markus Hoth, Ariel Quintana, Ulf Matti, Eva C. Schwarz, Martin Oheim, Claudia Schirra, Christian Schwindling, Anna S. Wenning and Walter Stühmer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Ute Becherer

45 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ute Becherer Germany 20 960 685 386 384 207 46 1.7k
Tanja Maritzen Germany 30 1.3k 1.4× 1.3k 1.8× 141 0.4× 607 1.6× 165 0.8× 54 2.2k
Yasunori Saheki Singapore 21 2.0k 2.1× 1.4k 2.1× 143 0.4× 503 1.3× 204 1.0× 31 2.9k
Zhongzhen Nie United States 29 1.6k 1.7× 1.1k 1.6× 120 0.3× 241 0.6× 361 1.7× 45 2.4k
Antony J. O’Sullivan United Kingdom 20 1.2k 1.2× 515 0.8× 125 0.3× 623 1.6× 194 0.9× 24 1.6k
Barbara Baryłko United States 33 1.8k 1.9× 1.4k 2.1× 174 0.5× 450 1.2× 171 0.8× 64 2.7k
Mary N. Teruel United States 27 2.8k 2.9× 1.1k 1.6× 324 0.8× 707 1.8× 109 0.5× 39 3.9k
Tomomi M. Yamamoto Japan 27 1.2k 1.3× 383 0.6× 128 0.3× 224 0.6× 80 0.4× 83 2.0k
Dmytro Puchkov Germany 29 2.0k 2.1× 1.7k 2.5× 123 0.3× 718 1.9× 268 1.3× 59 3.1k
Anne B. Theibert United States 30 1.7k 1.8× 1.3k 1.9× 78 0.2× 508 1.3× 153 0.7× 43 2.7k
Manojkumar A. Puthenveedu United States 30 2.5k 2.6× 1.4k 2.1× 125 0.3× 985 2.6× 134 0.6× 57 3.3k

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-authorship network of co-authors of Ute Becherer

This figure shows the co-authorship network connecting the top 25 collaborators of Ute Becherer. A scholar is included among the top collaborators of Ute Becherer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ute Becherer. Ute Becherer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chang, Hsin‐Fang, James Daniel, Xiao Yu Tian, et al.. (2025). Highly adaptable deep-learning platform for automated detection and analysis of vesicle exocytosis. Nature Communications. 16(1). 6450–6450. 1 indexed citations
2.
Schirra, Claudia, Stefanie Mannebach, Elmar Krause, et al.. (2024). Required minimal protein domain of flower for synaptobrevin2 endocytosis in cytotoxic T cells. Cellular and Molecular Life Sciences. 82(1). 8–8. 1 indexed citations
3.
Schirra, Claudia, et al.. (2024). A solution for highly efficient electroporation of primary cytotoxic T lymphocytes. BMC Biotechnology. 24(1). 16–16. 2 indexed citations
4.
Schirra, Claudia, et al.. (2023). Separation of Single Core and Multicore Lytic Granules by Subcellular Fractionation and Immunoisolation. Methods in molecular biology. 2654. 159–167.
5.
Qiao, Sen, Philipp Wartenberg, Amanda Wyatt, et al.. (2023). Ovulation is triggered by a cyclical modulation of gonadotropes into a hyperexcitable state. Cell Reports. 42(6). 112543–112543. 1 indexed citations
6.
Chang, Hsin‐Fang, Claudia Schirra, Varsha Pattu, Elmar Krause, & Ute Becherer. (2023). Lytic granule exocytosis at immune synapses: lessons from neuronal synapses. Frontiers in Immunology. 14. 1177670–1177670. 7 indexed citations
7.
Fecher‐Trost, Claudia, Ali Shaib, Veit Flockerzi, et al.. (2022). Localization of the Priming Factors CAPS1 and CAPS2 in Mouse Sensory Neurons Is Determined by Their N-Termini. Frontiers in Molecular Neuroscience. 15. 674243–674243. 1 indexed citations
8.
Shaib, Ali, et al.. (2021). Auxiliary Subunits Regulate the Dendritic Turnover of AMPA Receptors in Mouse Hippocampal Neurons. Frontiers in Molecular Neuroscience. 14. 728498–728498. 4 indexed citations
9.
Becherer, Ute, et al.. (2020). Biogenesis of large dense core vesicles in mouse chromaffin cells. Traffic. 22(3). 78–93. 5 indexed citations
10.
Dhara, Madhurima, et al.. (2019). The SNAP-25 linker supports fusion intermediates by local lipid interactions. eLife. 8. 19 indexed citations
11.
Schirra, Claudia, et al.. (2015). Behavior and Properties of Mature Lytic Granules at the Immunological Synapse of Human Cytotoxic T Lymphocytes. PLoS ONE. 10(8). e0135994–e0135994. 14 indexed citations
12.
Marshall, Misty, Varsha Pattu, Mahantappa Halimani, et al.. (2015). VAMP8-dependent fusion of recycling endosomes with the plasma membrane facilitates T lymphocyte cytotoxicity. The Journal of Cell Biology. 210(1). 135–151. 66 indexed citations
13.
Halimani, Mahantappa, Varsha Pattu, Misty Marshall, et al.. (2013). Syntaxin11 serves as a t‐SNARE for the fusion of lytic granules in human cytotoxic T lymphocytes. European Journal of Immunology. 44(2). 573–584. 30 indexed citations
14.
Halimani, Mahantappa, et al.. (2013). Deciphering Dead-End Docking of Large Dense Core Vesicles in Bovine Chromaffin Cells. Journal of Neuroscience. 33(43). 17123–17137. 19 indexed citations
15.
Pattu, Varsha, Bin Qu, Misty Marshall, et al.. (2011). Syntaxin7 Is Required for Lytic Granule Release from Cytotoxic T Lymphocytes. Traffic. 12(7). 890–901. 39 indexed citations
16.
Quintana, Ariel, Mathias Pasche, Christian Junker, et al.. (2011). Calcium microdomains at the immunological synapse: how ORAI channels, mitochondria and calcium pumps generate local calcium signals for efficient T‐cell activation. The EMBO Journal. 30(19). 3895–3912. 170 indexed citations
17.
Quintana, Ariel, Carsten Kummerow, Christian Junker, Ute Becherer, & Markus Hoth. (2008). Morphological changes of T cells following formation of the immunological synapse modulate intracellular calcium signals. Cell Calcium. 45(2). 109–122. 39 indexed citations
18.
Quintana, Ariel, Christian Schwindling, Anna S. Wenning, et al.. (2007). T cell activation requires mitochondrial translocation to the immunological synapse. Proceedings of the National Academy of Sciences. 104(36). 14418–14423. 268 indexed citations
19.
Schwindling, Christian, Ariel Quintana, Ute Becherer, et al.. (2007). T-cell activation requires mitochondrial translocation towards the immunological synapse (87.32). The Journal of Immunology. 178(1_Supplement). S134–S134. 3 indexed citations
20.
Becherer, Ute, Jean‐Luc Rodeau, & Anne Feltz. (1997). Resting potential of rat cerebellar granule cells during early maturationin vitro. Journal of Neurobiology. 32(1). 11–21. 18 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Tanja Maritzen Breakdown of academic impact, for papers by Yasunori Saheki Breakdown of academic impact, for papers by Zhongzhen Nie Breakdown of academic impact, for papers by Antony J. O’Sullivan Breakdown of academic impact, for papers by Barbara Baryłko Breakdown of academic impact, for papers by Mary N. Teruel Breakdown of academic impact, for papers by Tomomi M. Yamamoto Breakdown of academic impact, for papers by Dmytro Puchkov Breakdown of academic impact, for papers by Anne B. Theibert Breakdown of academic impact, for papers by Manojkumar A. Puthenveedu
Rankless by CCL
2026