Jürgen Götz
- Physiology top 0.02%
- Molecular Biology top 0.5%
- Cellular and Molecular Neuroscience top 0.1%
- Neurology top 0.05%
- Pharmacology top 0.1%
- Co-authors
- Lars M. IttnerRoger M. NitschAnne EckertGerhard LeinengaYazi D. KeRebecca M. NisbetChuanzhou LiJo Van Dorpe
- Topics
- Alzheimer's disease research and treatments (131 papers)Neuroscience and Neuropharmacology Research (33 papers)Cholinesterase and Neurodegenerative Diseases (31 papers)
- Partner nations
- AustraliaSwitzerlandGermany
In The Last Decade
Jürgen Götz
239 papers receiving 21.4k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Physiology 12.3k
- Molecular Biology 9.7k
- Cellular and Molecular Neuroscience 5.2k
- Neurology 4.2k
- Pharmacology 3.0k
Countries citing papers authored by Jürgen Götz
This map shows the geographic impact of Jürgen Götz'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 Jürgen Götz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jürgen Götz more than expected).
Fields of papers citing papers by Jürgen Götz
This network shows the impact of papers produced by Jürgen Götz. 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 Jürgen Götz. The network helps show where Jürgen Götz may publish in the future.
Co-authorship network of co-authors of Jürgen Götz
This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Götz. A scholar is included among the top collaborators of Jürgen Götz 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 Jürgen Götz. Jürgen Götz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 42 | |
| 6 | 13 | |
| 7 | 2 | |
| 8 | 64 | |
| 9 | 128 | |
| 10 | 148 | |
| 11 | 56 | |
| 12 | 76 | |
| 13 | 9 | |
| 14 | Amyloid-β and tau synergistically impair the oxidative phosphorylation system in triple transgenic Alzheimer's disease micebreakdown → | 551 |
| 15 | 89 | |
| 16 | 67 | |
| 17 | Animal models of Alzheimer's disease and frontotemporal dementiabreakdown → | 527 |
| 18 | 16 | |
| 19 | 88 | |
| 20 | Formation of Neurofibrillary Tangles in P301L Tau Transgenic Mice Induced by Aβ42 Fibrilsbreakdown → | 1208 |
About Jürgen Götz
Jürgen Götz is a scholar working on Physiology, Neurology and Aging, having authored 243 papers that have together received 21.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (131 papers), Neuroscience and Neuropharmacology Research (33 papers) and Cholinesterase and Neurodegenerative Diseases (31 papers). The work is most often cited by research in Neurology (4.2k citations), Physiology (12.3k citations) and Biological Psychiatry (888 citations). Jürgen Götz has collaborated with scholars based in Australia, Switzerland and Germany. Frequent co-authors include Lars M. Ittner, Roger M. Nitsch, Anne Eckert, Gerhard Leinenga, Yazi D. Ke, Rebecca M. Nisbet, Chuanzhou Li, Jo Van Dorpe, Juan Carlos Polanco and Mel Β. Feany. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.