Markus Tusche
Impact in
- Physiology top 2%
- Alzheimer's disease research and treatments
- Biomaterials top 5%
- Supramolecular Self-Assembly in Materials
Papers in
- Physiology 15
- Alzheimer's disease research and treatments 15
-
- Protein Structure and Dynamics 4
- Chemical Synthesis and Analysis 2
- Co-authors
- Dieter Willbold (19 shared papers)Lothar Gremer (9 shared papers)Elke Reinartz (4 shared papers)Wolfgang Hoyer (5 shared papers)Henrike Heise (3 shared papers)C. Schenk (2 shared papers)Gunnar F. Schröder (1 shared paper)Carmen López‐Iglesias (2 shared papers)
- Journals
- ACS Chemical Neuroscience (3 papers)Scientific Reports (3 papers)European Journal of Pharmaceutical Sciences (2 papers)PLoS ONE (2 papers)Pharmaceuticals (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Markus Tusche
19 papers receiving 1.1k citations
Markus Tusche's Hit Papers
Peers
Comparison fields: 5 of 79
- Physiology 789
- Biomaterials 198
- Computational Theory and Mathematics 190
- Structural Biology 16
- Biological Psychiatry 23
Countries citing papers authored by Markus Tusche
This map shows the geographic impact of Markus Tusche'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 Markus Tusche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Tusche more than expected).
Fields of papers citing papers by Markus Tusche
This network shows the impact of papers produced by Markus Tusche. 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 Markus Tusche. The network helps show where Markus Tusche may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Tusche, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Fibril structure of amyloid-β(1–42) by cryo–electron microscopy Hit paper breakdown → | 2017 | 817 |
| 2 | 2017 | 49 | |
| 3 | 2021 | 32 | |
| 4 | 2017 | 31 | |
| 5 | 2016 | 27 | |
| 6 | 2017 | 24 | |
| 7 | 2019 | 24 | |
| 8 | 2016 | 21 | |
| 9 | 2017 | 15 | |
| 10 | 2016 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2017 | 11 | |
| 13 | 2018 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2017 | 8 | |
| 16 | 2023 | 6 | |
| 17 | 2020 | 5 | |
| 18 | 2024 | 3 | |
| 19 | 2017 | 3 | |
| 20 | 2025 | 0 |
About Markus Tusche
Markus Tusche is a scholar working on Physiology, Molecular Biology, Oncology, Biomaterials and Computational Theory and Mathematics, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (15 papers), Protein Structure and Dynamics (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Computational Drug Discovery Methods (3 papers), Supramolecular Self-Assembly in Materials (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Physiology (789 citations), Biomaterials (198 citations), Computational Theory and Mathematics (190 citations), Structural Biology (16 citations) and Biological Psychiatry (23 citations). Markus Tusche has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Dieter Willbold, Lothar Gremer, Elke Reinartz, Wolfgang Hoyer, Henrike Heise, C. Schenk, Gunnar F. Schröder, Carmen López‐Iglesias, Raimond B. G. Ravelli and Jörg Labahn. Their work appears in journals such as ACS Chemical Neuroscience, Scientific Reports, European Journal of Pharmaceutical Sciences, PLoS ONE and Pharmaceuticals.
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.