Florian Markowetz
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 28
- Oncology top 2%
- Molecular Biology top 2%
- Gene expression and cancer classification 22
- Bioinformatics and Genomic Networks 21
- Genomics and Chromatin Dynamics 14
- Gene Regulatory Network Analysis 13
- Single-cell and spatial transcriptomics 9
- Nephrology top 2%
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- Radiomics and Machine Learning in Medical Imaging 9
- MRI in cancer diagnosis 7
- Co-authors
- Rainer SpangCarlos CaldasRoland F. SchwarzXin WangH. Raza AliEdith RossPaul D.P. PharoahNiko Beerenwinkel
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Florian Markowetz
93 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Cancer Research 1.6k
- Oncology 1.4k
- Molecular Biology 2.9k
- Nephrology 266
- Pathology and Forensic Medicine 647
Countries citing papers authored by Florian Markowetz
This map shows the geographic impact of Florian Markowetz'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 Florian Markowetz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Markowetz more than expected).
Fields of papers citing papers by Florian Markowetz
This network shows the impact of papers produced by Florian Markowetz. 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 Florian Markowetz. The network helps show where Florian Markowetz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Florian Markowetz, 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 | 2024 | 4 | |
| 2 | 2024 | 7 | |
| 3 | 2022 | 28 | |
| 4 | A pan-cancer compendium of chromosomal instabilitybreakdown → | 2022 | 135 |
| 5 | 2022 | 11 | |
| 6 | 2021 | 1 | |
| 7 | 2020 | 9 | |
| 8 | 2020 | 35 | |
| 9 | 2019 | 7 | |
| 10 | 2019 | 9 | |
| 11 | 2018 | 29 | |
| 12 | 2016 | 70 | |
| 13 | 2016 | 132 | |
| 14 | Patterns of Immune Infiltration in Breast Cancer and Their Clinical Implications: A Gene-Expression-Based Retrospective Studybreakdown → | 2016 | 436 |
| 15 | 2015 | 138 | |
| 16 | 2014 | 95 | |
| 17 | 2012 | 12 | |
| 18 | 2011 | 24 | |
| 19 | 2010 | 16 | |
| 20 | 2008 | 7 |
About Florian Markowetz
Florian Markowetz is a scholar working on Cancer Research, Biophysics and Molecular Biology, having authored 94 papers that have together received 5.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (28 papers), Gene expression and cancer classification (22 papers), Bioinformatics and Genomic Networks (21 papers), Genomics and Chromatin Dynamics (14 papers), Gene Regulatory Network Analysis (13 papers), Single-cell and spatial transcriptomics (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and MRI in cancer diagnosis (7 papers). The work is most often cited by research in Cancer Research (1.6k citations), Oncology (1.4k citations) and Molecular Biology (2.9k citations). Florian Markowetz has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Rainer Spang, Carlos Caldas, Roland F. Schwarz, Xin Wang, H. Raza Ali, Edith Ross, Paul D.P. Pharoah, Niko Beerenwinkel, Anne Trinh and James D. Brenton. Their work appears in journals such as Genome biology, PLoS Computational Biology, Bioinformatics, Clinical Cancer Research and PLoS Medicine.
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.