Eckhard Mandelkow�
- Molecular Biology top 0.1%
- Physiology top 0.01%
- Cell Biology top 0.02%
- Cellular and Molecular Neuroscience top 0.1%
- Pharmacology top 0.05%
- Co-authors
- Jacek BiernatEva‐Maria MandelkowYipeng WangMartin von Bergen�Markus ZweckstetterMarcus PickhardtStefan BarghornBernhard Trinczek
- Topics
- Alzheimer's disease research and treatments (148 papers)Microtubule and mitosis dynamics (107 papers)Protein Structure and Dynamics (45 papers)
- Cited by
- PhysiologyCell BiologyNeurology
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Eckhard Mandelkow�
276 papers receiving 32.2k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Molecular Biology 18.5k
- Physiology 17.9k
- Cell Biology 8.9k
- Cellular and Molecular Neuroscience 6.5k
- Pharmacology 3.6k
Countries citing papers authored by Eckhard Mandelkow�
This map shows the geographic impact of Eckhard Mandelkow�'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 Eckhard Mandelkow� with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eckhard Mandelkow� more than expected).
Fields of papers citing papers by Eckhard Mandelkow�
This network shows the impact of papers produced by Eckhard Mandelkow�. 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 Eckhard Mandelkow�. The network helps show where Eckhard Mandelkow� may publish in the future.
Co-authorship network of co-authors of Eckhard Mandelkow�
This figure shows the co-authorship network connecting the top 25 collaborators of Eckhard Mandelkow�. A scholar is included among the top collaborators of Eckhard Mandelkow� 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 Eckhard Mandelkow�. Eckhard Mandelkow� is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 27 | |
| 3 | 18 | |
| 4 | 163 | |
| 5 | 241 | |
| 6 | 123 | |
| 7 | Alzheimer disease in 2020 | 1 |
| 8 | The biology of Alzheimer disease | 18 |
| 9 | 34 | |
| 10 | 205 | |
| 11 | 68 | |
| 12 | 67 | |
| 13 | 309 | |
| 14 | 32 | |
| 15 | 158 | |
| 16 | 427 | |
| 17 | 42 | |
| 18 | 40 | |
| 19 | Synchrotron radiation in chemistry and biology | 9 |
| 20 | Die Struktur des Tabakmosaikvirus bei 4 A Auflösung | 1 |
About Eckhard Mandelkow�
Eckhard Mandelkow� is a scholar working on Cell Biology, Structural Biology and Physiology, having authored 276 papers that have together received 32.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (148 papers), Microtubule and mitosis dynamics (107 papers) and Protein Structure and Dynamics (45 papers). The work is most often cited by research in Physiology (17.9k citations), Cell Biology (8.9k citations) and Neurology (3.5k citations). Eckhard Mandelkow� has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Jacek Biernat, Eva‐Maria Mandelkow, Yipeng Wang, Martin von Bergen�, Markus Zweckstetter, Marcus Pickhardt, Stefan Barghorn, Bernhard Trinczek, Gerard Drewes and Peter Friedhoff. 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.