Markus Schick
Impact in
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- Peptidase Inhibition and Analysis
- Lung Cancer Research Studies
-
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Histone Deacetylase Inhibitors Research
- DNA Repair Mechanisms
- RNA modifications and cancer
Papers in
- Oncology 13
- Lung Cancer Research Studies 4
- Cancer Immunotherapy and Biomarkers 3
- Peptidase Inhibition and Analysis 3
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- Ubiquitin and proteasome pathways 6
- Protein Degradation and Inhibitors 3
- Co-authors
- Ulrich Keller (12 shared papers)Stefan Habringer (3 shared papers)Jonas A. Nilsson (1 shared paper)Matthias Wirth (6 shared papers)Sheng Li (1 shared paper)Stephanie N. Gates (1 shared paper)Stefan Müller (3 shared papers)Daniel R. Southworth (1 shared paper)
- Journals
- Molecular Cancer (2 papers)Bioinformatics (1 paper)npj Precision Oncology (1 paper)British Journal of Haematology (1 paper)Biomedicines (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Markus Schick
23 papers receiving 338 citations
Peers
Comparison fields: 5 of 73
- Oncology 105
- Molecular Biology 204
- Cancer Research 39
- Aging 5
- Hematology 29
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 56 | |
| 2 | 2019 | 53 | |
| 3 | 2017 | 36 | |
| 4 | 2020 | 26 | |
| 5 | 2024 | 24 | |
| 6 | 2022 | 22 | |
| 7 | 2020 | 20 | |
| 8 | 2024 | 20 | |
| 9 | 2019 | 18 | |
| 10 | 1991 | 17 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2018 | 6 | |
| 15 | 2020 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2021 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2022 | 1 |
About Markus Schick
Markus Schick is a scholar working on Oncology, Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 26 papers that have together received 340 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Lung Cancer Research Studies (4 papers), Protein Degradation and Inhibitors (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immune Cell Function and Interaction (3 papers), Cell Image Analysis Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Oncology (105 citations), Molecular Biology (204 citations), Cancer Research (39 citations), Aging (5 citations) and Hematology (29 citations). Markus Schick has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Ulrich Keller, Stefan Habringer, Jonas A. Nilsson, Matthias Wirth, Sheng Li, Stephanie N. Gates, Stefan Müller, Daniel R. Southworth, Ursula Jakob and Fabio Vilardi. Their work appears in journals such as Molecular Cancer, Bioinformatics, npj Precision Oncology, British Journal of Haematology and Biomedicines.
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.