Markus Schick

896 citations
24 papers · 320 indexed · h-index 11

Impact in

    • Peptidase Inhibition and Analysis
    • Lung Cancer Research Studies
    • Ubiquitin and proteasome pathways
    • Protein Degradation and Inhibitors
    • RNA modifications and cancer
    • Histone Deacetylase Inhibitors Research

Papers in

    • Lung Cancer Research Studies 4
    • Peptidase Inhibition and Analysis 4
    • Cancer Immunotherapy and Biomarkers 3
    • Ubiquitin and proteasome pathways 6
    • Protein Degradation and Inhibitors 3

Markus Schick

22 papers receiving 318 citations

Peers

Markus Schick
Comparison fields: 5 of 72
  • Oncology 107
  • Molecular Biology 209
  • Hematology 32
  • Aging 5
  • Cancer Research 39
Replace Emmanuel de Billy with:
Emmanuel de Billy Italy
Leenus Martin United States
Holly Yin United States
Amanda Guffei Canada
Galia Oberkovitz Israel
Danton Ivanochko Canada
Le Xuan Truong Nguyen United States
Joël P. Charles Germany
Annamarie C. Dalton United States
Robert J. Davidson United States
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Citations per field
00.5×3.8×
Emmanuel de Billy · 1×
Citations per year

Countries citing papers authored by Markus Schick

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Markus Schick Line = papers co-authored together Markus Schick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201455
2 201950
3 201736
4 202024
5 202222
6 202421
7 202020
8 201917
9 199117
10 202416
11 202113
12 20217
13 20186
14 20225
15 20232
16 20202
17 20252
18 20241
19 20231
20 20221

About Markus Schick

Markus Schick is a scholar working on Oncology, Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 24 papers that have together received 320 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Lung Cancer Research Studies (4 papers), Peptidase Inhibition and Analysis (4 papers), Protein Degradation and Inhibitors (3 papers), Cell Image Analysis Techniques (3 papers), Immune Cell Function and Interaction (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Oncology (107 citations), Molecular Biology (209 citations), Hematology (32 citations), Aging (5 citations) and Cancer Research (39 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, Günter Schneider, Irina Gostimskaya, Blanche Schwappach, Fabio Vilardi and Ursula Jakob. Their work appears in journals such as Molecular Cancer, Scientific Reports, British Journal of Cancer, British Journal of Haematology and Cell Reports.

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.

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