Markus Dangl

515 citations
14 papers · 356 · h-index 10

Impact in

    • Acute Myeloid Leukemia Research
    • Histone Deacetylase Inhibitors Research
    • Plant Gene Expression Analysis
    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation
    • Ubiquitin and proteasome pathways

Papers in

    • Histone Deacetylase Inhibitors Research 2
    • Phytochemical compounds biological activities 2
    • Angiogenesis and VEGF in Cancer 1
    • Epigenetics and DNA Methylation 1
    • Glycosylation and Glycoproteins Research 1
    • Cancer-related Molecular Pathways 4

Markus Dangl

14 papers receiving 352 citations

Peers

Markus Dangl
Comparison fields: 5 of 43
  • Hematology 42
  • Molecular Biology 256
  • Oncology 86
  • Plant Science 95
  • Pharmacology 36
Replace Katherine L. Marsh with:
Katherine L. Marsh United Kingdom
Mike Daley United States
Susumu Iiizumi Japan
Pekka Haapaniemi Finland
Songli Xu United States
Fadi Abdi United States
Mobeen Malik United States
Xuejia Yang China
Catherine Berset Switzerland
Markus Dangl relative to Katherine L. Marsh United Kingdom Katherine L. Marsh's profile →
Citations per field
00.5×6.5×
Katherine L. Marsh · 1×
Citations per year

Countries citing papers authored by Markus Dangl

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Markus Dangl Line = papers co-authored together Markus Dangl links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200176
2 201672
3 200044
4 200439
5 201923
6 201621
7 200520
8 200118
9 200716
10 201511
11 20146
12 20146
13 20133
14 20141

About Markus Dangl

Markus Dangl is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Pharmacology and Genetics, having authored 14 papers that have together received 356 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Histone Deacetylase Inhibitors Research (2 papers), Phytochemical compounds biological activities (2 papers), Angiogenesis and VEGF in Cancer (1 paper), Epigenetics and DNA Methylation (1 paper), Glycosylation and Glycoproteins Research (1 paper), Renal cell carcinoma treatment (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Hematology (42 citations), Molecular Biology (256 citations), Oncology (86 citations), Plant Science (95 citations) and Pharmacology (36 citations). Markus Dangl has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Gerald Brosch, Peter Loidl, Hubertus Haas, Thomas Friess, Christian H.K. Lehmann, Alexandra Lusser, Fabian Birzele, Anna Kiialainen, Patrick Trojer and Stefan Graessle. Their work appears in journals such as Blood, Biochemistry, Molecular Cancer Therapeutics, Planta and Helvetica Chimica Acta.

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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