Ute Preuß
- Molecular Biology top 5%
- Cell Biology top 2%
- Physiology top 5%
- Oncology top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Eckhard Mandelkow�Eva‐Maria MandelkowGerard DrewesAndreas EbnethSusanne IllenbergerJacek BiernatKarl‐Heinz ScheidtmannHassan Y. Naim
- Topics
- Microtubule and mitosis dynamics (6 papers)Cell death mechanisms and regulation (6 papers)Alzheimer's disease research and treatments (4 papers)
- Cited by
- Cell BiologyAgingPhysiology
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Ute Preuß
28 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Biology 1.5k
- Cell Biology 719
- Physiology 585
- Oncology 295
- Cellular and Molecular Neuroscience 247
Countries citing papers authored by Ute Preuß
This map shows the geographic impact of Ute Preuß'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 Preuß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ute Preuß more than expected).
Fields of papers citing papers by Ute Preuß
This network shows the impact of papers produced by Ute Preuß. 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 Preuß. The network helps show where Ute Preuß may publish in the future.
Co-authorship network of co-authors of Ute Preuß
This figure shows the co-authorship network connecting the top 25 collaborators of Ute Preuß. A scholar is included among the top collaborators of Ute Preuß 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 Preuß. Ute Preuß is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 20 | |
| 3 | 18 | |
| 4 | 33 | |
| 5 | 15 | |
| 6 | 147 | |
| 7 | 145 | |
| 8 | 2 | |
| 9 | 36 | |
| 10 | 8 | |
| 11 | 5 | |
| 12 | 21 | |
| 13 | Increased oncogenicity of subclones of SV40 large T-induced neuroectodermal tumor cell lines after loss of large T expression and concomitant mutation in p53. | 26 |
| 14 | 137 | |
| 15 | 34 | |
| 16 | 17 | |
| 17 | MARK, a Novel Family of Protein Kinases That Phosphorylate Microtubule-Associated Proteins and Trigger Microtubule Disruptionbreakdown → | 712 |
| 18 | 94 | |
| 19 | 36 | |
| 20 | 89 |
About Ute Preuß
Ute Preuß is a scholar working on Cell Biology, Molecular Biology and Biotechnology, having authored 28 papers that have together received 2.1k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (6 papers), Cell death mechanisms and regulation (6 papers) and Alzheimer's disease research and treatments (4 papers). The work is most often cited by research in Cell Biology (719 citations), Aging (68 citations) and Physiology (585 citations). Ute Preuß has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Eckhard Mandelkow�, Eva‐Maria Mandelkow, Gerard Drewes, Andreas Ebneth, Susanne Illenberger, Jacek Biernat, Karl‐Heinz Scheidtmann, Hassan Y. Naim, Qingyi Zheng‐Fischhöfer and Karlheinz Baumann. Their work appears in journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.
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.