Markus Dangl

515 citations
14 papers · 436 · h-index 11

Impact in

  • Hematology top 10%
    • Iron Metabolism and Disorders
    • Acute Myeloid Leukemia Research
    • Cancer-related Molecular Pathways

Papers in

    • Acute Myeloid Leukemia Research 3
    • Cancer-related Molecular Pathways 4
    • Cancer Immunotherapy and Biomarkers 1

Markus Dangl

14 papers receiving 422 citations

Peers

Markus Dangl
Comparison fields: 5 of 37
  • Hematology 96
  • Oncology 72
  • Molecular Biology 170
  • Plant Science 86
  • Pharmacology 29
Replace Roberto Licchetta with:
Roberto Licchetta Italy
Shuqing Lü China
Cedrik Haškovec Czechia
Elizabeta A. Rojas Spain
Jan Taplick Austria
Chung-I Chang United States
Savita Lochab India
Chengqiang Wang China
Michelle B. Miranda United States
Michael F. Harte Australia
Markus Dangl relative to Roberto Licchetta Italy Roberto Licchetta's profile →
Citations per field
00.5×2×3×4.2×
Roberto Licchetta · 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 201683
2 200177
3 200853
4 200045
5 200439
6 201924
7 200522
8 201622
9 200119
10 200716
11 201516
12 201511
13 20148
14 20141

About Markus Dangl

Markus Dangl is a scholar working on Hematology, Oncology, Molecular Biology, Pathology and Forensic Medicine and Genetics, having authored 14 papers that have together received 436 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Acute Myeloid Leukemia Research (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Signaling Pathways in Disease (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Plant Molecular Biology Research (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Hematology (96 citations), Oncology (72 citations), Molecular Biology (170 citations), Plant Science (86 citations) and Pharmacology (29 citations). Markus Dangl has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include Peter Loidl, Gerald Brosch, Hubertus Haas, Thomas Friess, Christian H.K. Lehmann, Fabian Birzele, Anna Kiialainen, Alexandra Lusser, Patrick Trojer and Stefan Graessle. Their work appears in journals such as Blood, Biochemistry, Clinical Chemistry, European Journal Of Haematology and Journal of Hematology & Oncology.

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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