Markus Schröder
Impact in
- Cancer Research top 5%
- Breast Cancer Treatment Studies
- Genetics top 5%
- Genetic Associations and Epidemiology
- Forensic and Genetic Research
Papers in
-
- Fungal and yeast genetics research 7
- CRISPR and Genetic Engineering 4
- Gene expression and cancer classification 3
- Genomics and Phylogenetic Studies 3
- RNA Research and Splicing 2
- Yeasts and Rust Fungi Studies 2
- Bioinformatics and Genomic Networks 2
-
- Antifungal resistance and susceptibility 3
- Co-authors
- Benjamin Haibe‐Kains (5 shared papers)Aedín C. Culhane (4 shared papers)Quackenbush John (4 shared papers)Jacob E. Corn (7 shared papers)Sebastian M. Siegner (2 shared papers)Mehmet E. Karasu (2 shared papers)Zacharias Kontarakis (1 shared paper)Geraldine Butler (8 shared papers)
- Journals
- Bioinformatics (3 papers)Nature Communications (2 papers)Nature (2 papers)G3 Genes Genomes Genetics (2 papers)Cell Reports (2 papers)
- Partner nations
- United StatesIrelandSwitzerland
In The Last Decade
Markus Schröder
29 papers receiving 2.3k citations
Markus Schröder's Hit Papers
Peers
Comparison fields: 5 of 98
- Cancer Research 285
- Genetics 435
- Molecular Biology 887
- Infectious Diseases 192
- Oncology 162
Countries citing papers authored by Markus Schröder
This map shows the geographic impact of Markus Schröder'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 Schröder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Schröder more than expected).
Fields of papers citing papers by Markus Schröder
This network shows the impact of papers produced by Markus Schröder. 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 Schröder. The network helps show where Markus Schröder may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Schröder, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 375 | |
| 2 | The GenomeAsia 100K Project enables genetic discoveries across Asia Hit paper breakdown → | 2019 | 325 |
| 3 | 2015 | 284 | |
| 4 | 2021 | 221 | |
| 5 | 2015 | 214 | |
| 6 | 2020 | 134 | |
| 7 | 2014 | 105 | |
| 8 | 2013 | 101 | |
| 9 | 2011 | 92 | |
| 10 | 2016 | 64 | |
| 11 | 2020 | 64 | |
| 12 | 2020 | 58 | |
| 13 | 2017 | 33 | |
| 14 | 2020 | 31 | |
| 15 | 2013 | 25 | |
| 16 | 2017 | 25 | |
| 17 | 2023 | 24 | |
| 18 | 2013 | 22 | |
| 19 | 2025 | 20 | |
| 20 | 2020 | 13 |
About Markus Schröder
Markus Schröder is a scholar working on Molecular Biology, Infectious Diseases, Cancer Research, Genetics and Genetics, having authored 30 papers that have together received 2.3k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (7 papers), CRISPR and Genetic Engineering (4 papers), Antifungal resistance and susceptibility (3 papers), Gene expression and cancer classification (3 papers), Genomics and Phylogenetic Studies (3 papers), RNA Research and Splicing (2 papers), Yeasts and Rust Fungi Studies (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Cancer Research (285 citations), Genetics (435 citations), Molecular Biology (887 citations), Infectious Diseases (192 citations) and Oncology (162 citations). Markus Schröder has collaborated with scholars based in United States, Ireland and Switzerland. Frequent co-authors include Benjamin Haibe‐Kains, Aedín C. Culhane, Quackenbush John, Jacob E. Corn, Sebastian M. Siegner, Mehmet E. Karasu, Zacharias Kontarakis, Geraldine Butler, Deena M.A. Gendoo and Joel S. Parker. Their work appears in journals such as Bioinformatics, Nature Communications, Nature, G3 Genes Genomes Genetics 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.