Markus Schick
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
- Lung Cancer Research Studies
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- Ubiquitin and proteasome pathways
- Heat shock proteins research
Papers in
- Oncology 10
- Cancer Immunotherapy and Biomarkers 2
- Pancreatic and Hepatic Oncology Research 2
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- Multiple Myeloma Research and Treatments 3
- Co-authors
- Ulrich Bernd Keller (12 shared papers)Stefan Habringer (3 shared papers)Matthias Wirth (6 shared papers)Jonas A. Nilsson (1 shared paper)Günter Schneider (2 shared papers)Christian Schneeweis (1 shared paper)Georg Tascher (1 shared paper)Blanche Schwappach (1 shared paper)
- Journals
- Nature Communications (2 papers)Haematologica (2 papers)Molecular Cancer (2 papers)Cancer Cell (2 papers)Blood Advances (2 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Markus Schick
25 papers receiving 682 citations
Peers
Comparison fields: 5 of 54
- Oncology 195
- Molecular Biology 301
- Hematology 52
- Cancer Research 42
- Pathology and Forensic Medicine 43
Countries citing papers authored by Markus Schick
This map shows the geographic impact of Markus Schick'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 Schick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Schick more than expected).
Fields of papers citing papers by Markus Schick
This network shows the impact of papers produced by Markus Schick. 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 Schick. The network helps show where Markus Schick may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Schick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 78 | |
| 2 | 2022 | 70 | |
| 3 | 2014 | 58 | |
| 4 | 2019 | 57 | |
| 5 | 2016 | 55 | |
| 6 | 2019 | 43 | |
| 7 | 2017 | 37 | |
| 8 | 2019 | 32 | |
| 9 | 2020 | 31 | |
| 10 | 2024 | 31 | |
| 11 | 2022 | 26 | |
| 12 | 2020 | 25 | |
| 13 | 2024 | 25 | |
| 14 | 2022 | 23 | |
| 15 | 2022 | 21 | |
| 16 | 2019 | 20 | |
| 17 | 2021 | 14 | |
| 18 | 2021 | 8 | |
| 19 | 2022 | 8 | |
| 20 | 2024 | 8 |
About Markus Schick
Markus Schick is a scholar working on Oncology, Hematology, Pathology and Forensic Medicine, Molecular Biology and Genetics, having authored 28 papers that have together received 688 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Lymphoma Diagnosis and Treatment (4 papers), AI in cancer detection (4 papers), Multiple Myeloma Research and Treatments (3 papers), DNA Repair Mechanisms (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Genomics and Chromatin Dynamics (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Oncology (195 citations), Molecular Biology (301 citations), Hematology (52 citations), Cancer Research (42 citations) and Pathology and Forensic Medicine (43 citations). Markus Schick has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Ulrich Bernd Keller, Stefan Habringer, Matthias Wirth, Jonas A. Nilsson, Günter Schneider, Christian Schneeweis, Georg Tascher, Blanche Schwappach, Stefan P Müller and Stephanie N. Gates. Their work appears in journals such as Nature Communications, Haematologica, Molecular Cancer, Cancer Cell and Blood Advances.
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.