Dietmar Riedel

17.2k citations
136 papers · 10.3k indexed · 5 hit papers · h-index 57
Topics
Cellular transport and secretion (35 papers)Lipid Membrane Structure and Behavior (33 papers)Neuroscience and Neuropharmacology Research (14 papers)

In The Last Decade

Dietmar Riedel

133 papers receiving 10.2k citations

Hit Papers

Microglia-derived ASC specks cross-s...200520262012201920172017200520152012200400600

Peers

Dietmar Riedel
Comparison fields: 5 of 162
  • Molecular Biology 6.0k
  • Cell Biology 2.5k
  • Cellular and Molecular Neuroscience 1.8k
  • Physiology 1.8k
  • Neurology 841
Replace Wiebke Möbius with:
Wiebke Möbius Germany
Tao Xu China
Erik M. Jørgensen United States
Yasunori Hayashi Japan
Shigeo Okabe Japan
Peter Agre United States
Thomas J. Deerinck United States
Takeharu Nagai Japan
Martin Chalfie United States
Eric R. Schreiter United States
Dietmar Riedel relative to Wiebke Möbius Germany Wiebke Möbius's profile →
Citations per field
00.5×1.6×
Wiebke Möbius · 1×
Citations per year

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
#WorkIndexed citations
1 3
2 0
3 8
4 18
5 48
6 5
7 5
8 16
9 155
10 145
11 14
12
Liquid–liquid phase separation of the microtubule-binding repeats of the Alzheimer-related protein Taubreakdown →
569
13 158
14 6
15 33
16 209
17 1
18 68
19 57
20 181

About Dietmar Riedel

Dietmar Riedel is a scholar working on Structural Biology, Cell Biology and Biophysics, having authored 136 papers that have together received 10.3k indexed citations. Recurring topics across this work include Cellular transport and secretion (35 papers), Lipid Membrane Structure and Behavior (33 papers) and Neuroscience and Neuropharmacology Research (14 papers). The work is most often cited by research in Cell Biology (2.5k citations), Structural Biology (204 citations) and Sensory Systems (636 citations). Dietmar Riedel has collaborated with scholars based in Germany, United States and Switzerland. Frequent 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. Their work appears in journals such as Nature, Science and Cell.

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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