Markus Riester
- Plant Science top 1%
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 13
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 7
- Gene expression and cancer classification 6
- Molecular Biology Techniques and Applications 5
- Single-cell and spatial transcriptomics 3
- Genetics top 5%
- Oncology top 5%
-
- Bladder and Urothelial Cancer Treatments 11
- Urinary and Genital Oncology Studies 6
-
- Renal cell carcinoma treatment 3
- Co-authors
- Detlef WeigelRebecca SchwabNorman WarthmannStephan OssowskiCarla SchommerMarkus SchmidJavier F. PalatnikFranziska Michor
- Journals
- Journal of Clinical Oncology (8 papers)JNCI Journal of the National Cancer Institute (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesGermanySpain
In The Last Decade
Markus Riester
39 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Plant Science 2.0k
- Cancer Research 769
- Molecular Biology 2.5k
- Genetics 254
- Oncology 457
Countries citing papers authored by Markus Riester
This map shows the geographic impact of Markus Riester'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 Riester with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Riester more than expected).
Fields of papers citing papers by Markus Riester
This network shows the impact of papers produced by Markus Riester. 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 Riester. The network helps show where Markus Riester may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Riester, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 19 | |
| 2 | 2017 | 61 | |
| 3 | 2017 | 14 | |
| 4 | 2017 | 59 | |
| 5 | 2016 | 19 | |
| 6 | 2015 | 6 | |
| 7 | 2015 | 24 | |
| 8 | 2015 | 17 | |
| 9 | 2014 | 87 | |
| 10 | 2014 | 267 | |
| 11 | 2013 | 96 | |
| 12 | 2013 | 127 | |
| 13 | 2012 | 177 | |
| 14 | 2012 | 115 | |
| 15 | 2010 | 27 | |
| 16 | 2010 | 7 | |
| 17 | FRANz: Fast Reconstruction of Wild Pedigrees. | 2008 | 1 |
| 18 | 2007 | 18 | |
| 19 | Highly Specific Gene Silencing by Artificial MicroRNAs in Arabidopsisbreakdown → | 2006 | 1046 |
| 20 | Specific Effects of MicroRNAs on the Plant Transcriptomebreakdown → | 2005 | 1214 |
About Markus Riester
Markus Riester is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 40 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (13 papers), Bladder and Urothelial Cancer Treatments (11 papers), Epigenetics and DNA Methylation (7 papers), Urinary and Genital Oncology Studies (6 papers), Gene expression and cancer classification (6 papers), Molecular Biology Techniques and Applications (5 papers), Single-cell and spatial transcriptomics (3 papers) and Renal cell carcinoma treatment (3 papers). The work is most often cited by research in Plant Science (2.0k citations), Cancer Research (769 citations) and Molecular Biology (2.5k citations). Markus Riester has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Detlef Weigel, Rebecca Schwab, Norman Warthmann, Stephan Ossowski, Carla Schommer, Markus Schmid, Javier F. Palatnik, Franziska Michor, Levi Waldron and Giovanni Parmigiani. Their work appears in journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute, PLoS ONE, Cancer Medicine and Bioinformatics.
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.