Dietmar Riedel

17.2k total citations · 5 hit papers
136 papers, 10.3k citations indexed

About

Dietmar Riedel is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dietmar Riedel has authored 136 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Molecular Biology, 40 papers in Cell Biology and 28 papers in Cellular and Molecular Neuroscience. Recurrent topics in Dietmar Riedel's work include Cellular transport and secretion (35 papers), Lipid Membrane Structure and Behavior (33 papers) and Neuroscience and Neuropharmacology Research (14 papers). Dietmar Riedel is often cited by papers focused on Cellular transport and secretion (35 papers), Lipid Membrane Structure and Behavior (33 papers) and Neuroscience and Neuropharmacology Research (14 papers). Dietmar Riedel collaborates with scholars based in Germany, United States and Switzerland. Dietmar Riedel's co-authors include Reinhard Jahn, Stefan Becker, Markus Zweckstetter, Stefan Jakobs, Eckhard Mandelkow�, Jacek Biernat, Matthias Behr, Susmitha Ambadipudi, Halina E. Tegetmeyer and Gunter Wegener and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Dietmar Riedel

133 papers receiving 10.2k citations

Hit Papers

Microglia-derived ASC specks cross-s... 2005 2026 2012 2019 2017 2017 2005 2015 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dietmar Riedel Germany 57 6.0k 2.5k 1.8k 1.8k 841 136 10.3k
Thomas J. Deerinck United States 61 9.2k 1.5× 3.0k 1.2× 2.8k 1.5× 842 0.5× 512 0.6× 126 14.9k
Seth L. Alper United States 71 9.8k 1.6× 1.1k 0.4× 1.9k 1.0× 3.6k 2.0× 381 0.5× 323 16.3k
Masahiro Sokabe Japan 55 4.6k 0.8× 2.4k 1.0× 1.5k 0.9× 1.8k 1.0× 333 0.4× 252 9.5k
Gary E. Shull United States 78 13.4k 2.2× 1.5k 0.6× 2.3k 1.3× 1.7k 0.9× 628 0.7× 213 17.6k
David F. Wilson United States 68 7.5k 1.3× 2.1k 0.8× 2.7k 1.5× 2.7k 1.5× 309 0.4× 416 16.6k
Ildikò Szabó Italy 63 13.2k 2.2× 912 0.4× 3.0k 1.7× 1.6k 0.9× 320 0.4× 310 17.2k
Yoshinori Fujiyoshi Japan 60 12.2k 2.0× 781 0.3× 3.0k 1.7× 759 0.4× 670 0.8× 220 16.4k
Marie‐Claude Potier France 48 3.7k 0.6× 779 0.3× 1.5k 0.8× 3.2k 1.8× 1.2k 1.4× 215 9.8k
Walter F. Boron United States 73 13.1k 2.2× 1.1k 0.4× 3.7k 2.1× 2.6k 1.5× 377 0.4× 269 21.2k
J. Kevin Foskett United States 65 8.8k 1.5× 2.1k 0.8× 2.8k 1.5× 2.1k 1.2× 237 0.3× 166 13.4k

Countries citing papers authored by Dietmar Riedel

Since Specialization
Citations

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

Fields of papers citing papers by Dietmar Riedel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dietmar Riedel

This figure shows the co-authorship network connecting the top 25 collaborators of Dietmar Riedel. A scholar is included among the top collaborators of Dietmar Riedel 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 Dietmar Riedel. Dietmar Riedel 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.
Preobraschenski, Julia, Alex J.B. Kreutzberger, Marcelo Ganzella, et al.. (2025). Synaptophysin accelerates synaptic vesicle fusion by expanding the membrane upon neurotransmitter loading. Science Advances. 11(17). eads4661–eads4661. 3 indexed citations
2.
Frieg, Benedikt, Dirk Matthes, Andrei Leonov, et al.. (2025). Anle138b binds predominantly to the central cavity in lipidic Aβ₄₀ fibrils and modulates fibril formation. Nature Communications. 16(1). 8850–8850.
3.
Matthes, Dirk, Hisham Mazal, Kumar Tekwani Movellan, et al.. (2025). Lipidic folding pathway of α-Synuclein via a toxic oligomer. Nature Communications. 16(1). 760–760. 8 indexed citations
4.
Laso-Pérez, Rafael, et al.. (2023). Candidatus Alkanophaga archaea from Guaymas Basin hydrothermal vent sediment oxidize petroleum alkanes. Nature Microbiology. 8(7). 1199–1212. 18 indexed citations
5.
Jin, Jialin, Marcelo Ganzella, Antonio Z. Politi, et al.. (2022). Colocalization of different neurotransmitter transporters on synaptic vesicles is sparse except for VGLUT1 and ZnT3. Neuron. 110(9). 1483–1497.e7. 48 indexed citations
7.
Wurm, Christian A., Heinz Schwarz, Daniel C. Jans, et al.. (2019). Correlative STED super-resolution light and electron microscopy on resin sections. Journal of Physics D Applied Physics. 52(37). 374003–374003. 5 indexed citations
8.
Pflanz, Ralf, et al.. (2019). Conserved function of the matriptase-prostasin proteolytic cascade during epithelial morphogenesis. PLoS Genetics. 15(1). e1007882–e1007882. 16 indexed citations
9.
Strohäker, Timo, Byung Chul Jung, Shu-Hao Liou, et al.. (2019). Structural heterogeneity of α-synuclein fibrils amplified from patient brain extracts. Nature Communications. 10(1). 5535–5535. 155 indexed citations
10.
Stephan, Till, et al.. (2019). Live-cell STED nanoscopy of mitochondrial cristae. Scientific Reports. 9(1). 12419–12419. 145 indexed citations
11.
Valiente‐Gabioud, Ariel A., et al.. (2018). Binding Modes of Phthalocyanines to Amyloid β Peptide and Their Effects on Amyloid Fibril Formation. Biophysical Journal. 114(5). 1036–1045. 14 indexed citations
12.
Ambadipudi, Susmitha, Jacek Biernat, Dietmar Riedel, Eckhard Mandelkow�, & Markus Zweckstetter. (2017). Liquid–liquid phase separation of the microtubule-binding repeats of the Alzheimer-related protein Tau. Nature Communications. 8(1). 275–275. 569 indexed citations breakdown →
13.
Binotti, Beyenech, Nathan J. Pavlos, Dietmar Riedel, et al.. (2015). The GTPase Rab26 links synaptic vesicles to the autophagy pathway. eLife. 4. e05597–e05597. 158 indexed citations
14.
Mildner, Karina, Felix Babatz, Dietmar Riedel, et al.. (2015). Correlative Light and Electron Microscopy of Rare Cell Populations in Zebrafish Embryos Using Laser Marks. Zebrafish. 12(6). 470–473. 6 indexed citations
15.
Pflanz, Ralf, et al.. (2015). Bark beetle controls epithelial morphogenesis by septate junction maturation in Drosophila. Developmental Biology. 400(2). 237–247. 33 indexed citations
16.
Frank, Thomas, Mark A. Rutherford, Nicola Strenzke, et al.. (2010). Bassoon and the Synaptic Ribbon Organize Ca2+ Channels and Vesicles to Add Release Sites and Promote Refilling. Neuron. 68(4). 724–738. 209 indexed citations
17.
Holt, Matthew G., Dietmar Riedel, Lise Arleth, et al.. (2010). Structure Analysis of Synaptic Vesicles by Solution Small-Angle Scattering of X-Rays. Biophysical Journal. 98(3). 284a–284a. 1 indexed citations
18.
Neef, Jakob, Anna Gehrt, Anna V. Bulankina, et al.. (2009). The Ca2+Channel Subunit β2 Regulates Ca2+Channel Abundance and Function in Inner Hair Cells and Is Required for Hearing. Journal of Neuroscience. 29(34). 10730–10740. 68 indexed citations
19.
Neef, Andreas, Darina Khimich, Primož Pirih, et al.. (2007). Probing the Mechanism of Exocytosis at the Hair Cell Ribbon Synapse. Journal of Neuroscience. 27(47). 12933–12944. 57 indexed citations
20.
Bruns, Dieter, Dietmar Riedel, Jürgen Klingauf, & Reinhard Jahn. (2000). Quantal Release of Serotonin. Neuron. 28(1). 205–220. 181 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.

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