Markus Pasterk

883 citations
9 papers · 500 indexed · h-index 7

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer, Lipids, and Metabolism
    • Cancer Risks and Factors
    • Cancer-related Molecular Pathways

Papers in

Markus Pasterk

9 papers receiving 485 citations

Peers

Markus Pasterk
Comparison fields: 5 of 87
  • Cancer Research 135
  • Oncology 168
  • Public Health, Environmental and Occupational Health 173
  • Molecular Biology 261
  • Physiology 93
Replace Gabriele Anton with:
Gabriele Anton Germany
Lise Matzke Canada
Helen M. Moore United States
Enrique Bargalló Mexico
Marissa Howard-McNatt United States
Sarah Kitson United Kingdom
Xiaofei F. Wang United States
Polly S. Y. Cheung Hong Kong
A Gentile Italy
Gianfranco De Feo Italy
Markus Pasterk relative to Gabriele Anton Germany Gabriele Anton's profile →
Citations per field
00.5×3.7×
Gabriele Anton · 1×
Citations per year

Countries citing papers authored by Markus Pasterk

Since Specialization
Citations

This map shows the geographic impact of Markus Pasterk'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 Pasterk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Pasterk more than expected).

Fields of papers citing papers by Markus Pasterk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus Pasterk. 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 Pasterk. The network helps show where Markus Pasterk may publish in the future.

Co-authors

The 25 scholars most cited alongside Markus Pasterk, 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 Pasterk Line = papers co-authored together Markus Pasterk links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2012242
2 2007156
3 201334
4 201724
5 201113
6 201712
7 201112
8 20216
9 20171

About Markus Pasterk

Markus Pasterk is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Information Systems, Information Systems and Management and Immunology, having authored 9 papers that have together received 500 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (2 papers), Scientific Computing and Data Management (2 papers), Ethics in Clinical Research (2 papers), Science, Research, and Medicine (2 papers), Research Data Management Practices (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Cancer Genomics and Diagnostics (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Cancer Research (135 citations), Oncology (168 citations), Public Health, Environmental and Occupational Health (173 citations), Molecular Biology (261 citations) and Physiology (93 citations). Markus Pasterk has collaborated with scholars based in France, United Kingdom and Italy. Frequent co-authors include Kurt Zatloukal, Philippe Autier, Mathieu Boniol, Anne Cambon‐Thomsen, Peter Boyle, Christian Bréchot, Tongzhang Zheng, Y. Zhang, Ulf Landegren and G J van Ommen. Their work appears in journals such as Biopreservation and Biobanking, British Journal of Cancer, The Lancet, Briefings in Bioinformatics and GigaScience.

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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