Sascha D. Markowitsch
Impact in
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- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- Toxicology top 10%
- Bioactive Compounds and Antitumor Agents
Papers in
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- Epigenetics and DNA Methylation 2
- Machine Learning in Bioinformatics 1
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- Ferroptosis and cancer prognosis 4
- Co-authors
- Axel Haferkamp (11 shared papers)Eva Juengel (11 shared papers)Thomas Efferth (7 shared papers)Olesya Vakhrusheva (8 shared papers)Igor Tsaur (9 shared papers)Martin Michaelis (5 shared papers)Jindřich Činátl (5 shared papers)René Mager (3 shared papers)
- Journals
- Cancers (5 papers)Nutrients (2 papers)Cells (2 papers)Frontiers in Oncology (1 paper)Biomolecules (1 paper)
- Partner nations
- GermanyUnited KingdomAustria
In The Last Decade
Sascha D. Markowitsch
13 papers receiving 303 citations
Peers
Comparison fields: 5 of 57
- Cancer Research 109
- Toxicology 22
- Pulmonary and Respiratory Medicine 129
- Molecular Biology 170
- Oncology 54
Countries citing papers authored by Sascha D. Markowitsch
This map shows the geographic impact of Sascha D. Markowitsch'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 Sascha D. Markowitsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sascha D. Markowitsch more than expected).
Fields of papers citing papers by Sascha D. Markowitsch
This network shows the impact of papers produced by Sascha D. Markowitsch. 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 Sascha D. Markowitsch. The network helps show where Sascha D. Markowitsch may publish in the future.
Co-authors
The 25 scholars most cited alongside Sascha D. Markowitsch, 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 | 2020 | 98 | |
| 2 | 2020 | 90 | |
| 3 | 2021 | 44 | |
| 4 | 2022 | 20 | |
| 5 | 2022 | 13 | |
| 6 | 2016 | 12 | |
| 7 | 2024 | 8 | |
| 8 | 2022 | 7 | |
| 9 | 2019 | 6 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2019 | 1 | |
| 14 | 2023 | 0 | |
| 15 | 2025 | 0 |
About Sascha D. Markowitsch
Sascha D. Markowitsch is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Oncology and Cancer Research, having authored 15 papers that have together received 304 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (4 papers), Glaucoma and retinal disorders (2 papers), Cancer, Lipids, and Metabolism (2 papers), Epigenetics and DNA Methylation (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Bioactive Compounds and Antitumor Agents (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Cancer Research (109 citations), Toxicology (22 citations), Pulmonary and Respiratory Medicine (129 citations), Molecular Biology (170 citations) and Oncology (54 citations). Sascha D. Markowitsch has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include Axel Haferkamp, Eva Juengel, Thomas Efferth, Olesya Vakhrusheva, Igor Tsaur, Martin Michaelis, Jindřich Činátl, René Mager, Anita Thomas and Carsten Schmelter. Their work appears in journals such as Cancers, Nutrients, Cells, Frontiers in Oncology and Biomolecules.
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.