Markus Dangl
Impact in
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- Acute Myeloid Leukemia Research
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- Histone Deacetylase Inhibitors Research
- Plant Gene Expression Analysis
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Ubiquitin and proteasome pathways
Papers in
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- Phytochemical compounds biological activities 2
- Histone Deacetylase Inhibitors Research 2
- Signaling Pathways in Disease 1
- Protein Tyrosine Phosphatases 1
- Oncology 7
- Cancer-related Molecular Pathways 5
- CAR-T cell therapy research 2
- Co-authors
- Peter Loidl (4 shared papers)Gerald Brosch (4 shared papers)Hubertus Haas (2 shared papers)Thomas Friess (4 shared papers)Christian H.K. Lehmann (3 shared papers)Alexandra Lusser (1 shared paper)Anna Kiialainen (1 shared paper)Fabian Birzele (1 shared paper)
- Journals
- Biochemistry (2 papers)Blood (2 papers)Molecular Cancer Therapeutics (1 paper)Planta (1 paper)European Journal Of Haematology (1 paper)
- Partner nations
- GermanySwitzerlandAustria
In The Last Decade
Markus Dangl
14 papers receiving 334 citations
Peers
Comparison fields: 5 of 46
- Hematology 47
- Molecular Biology 256
- Oncology 91
- Plant Science 90
- Genetics 25
Countries citing papers authored by Markus Dangl
This map shows the geographic impact of Markus Dangl'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 Dangl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Dangl more than expected).
Fields of papers citing papers by Markus Dangl
This network shows the impact of papers produced by Markus Dangl. 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 Dangl. The network helps show where Markus Dangl may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Dangl, 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 | 2001 | 72 | |
| 2 | 2016 | 70 | |
| 3 | 2000 | 41 | |
| 4 | 2004 | 37 | |
| 5 | 2019 | 22 | |
| 6 | 2016 | 21 | |
| 7 | 2005 | 19 | |
| 8 | 2001 | 15 | |
| 9 | 2007 | 15 | |
| 10 | 2015 | 11 | |
| 11 | 2014 | 6 | |
| 12 | 2014 | 6 | |
| 13 | 2013 | 3 | |
| 14 | 2014 | 1 |
About Markus Dangl
Markus Dangl is a scholar working on Molecular Biology, Oncology, Genetics, Organic Chemistry and Pharmacology, having authored 14 papers that have together received 339 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Phytochemical compounds biological activities (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), CAR-T cell therapy research (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Plant Molecular Biology Research (1 paper), Signaling Pathways in Disease (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Hematology (47 citations), Molecular Biology (256 citations), Oncology (91 citations), Plant Science (90 citations) and Genetics (25 citations). Markus Dangl has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Peter Loidl, Gerald Brosch, Hubertus Haas, Thomas Friess, Christian H.K. Lehmann, Alexandra Lusser, Anna Kiialainen, Fabian Birzele, Patrick Trojer and Stefan Graessle. Their work appears in journals such as Biochemistry, Blood, Molecular Cancer Therapeutics, Planta and European Journal Of Haematology.
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.