Markus Eberl
Impact in
- Dermatology top 5%
- Cancer and Skin Lesions
- Oncology top 10%
- Polyomavirus and related diseases
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in
-
- Hedgehog Signaling Pathway Studies 7
- Epigenetics and DNA Methylation 1
- Oncology 6
- Cancer-related Molecular Pathways 3
- Co-authors
- Andrzej A. Dlugosz (5 shared papers)Monique Verhaegen (4 shared papers)Christopher K. Bichakjian (3 shared papers)Sunny Y. Wong (4 shared papers)Doris Mangelberger (4 shared papers)Fritz Aberger (5 shared papers)Natalia A. Veniaminova (2 shared papers)Nicole L. Ward (1 shared paper)
- Journals
- Cancer Research (2 papers)Cell stem cell (1 paper)EMBO Molecular Medicine (1 paper)Cell Reports (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Markus Eberl
11 papers receiving 825 citations
Peers
Comparison fields: 5 of 73
- Dermatology 107
- Oncology 293
- Molecular Biology 505
- Psychiatry and Mental health 83
- Pathology and Forensic Medicine 73
Countries citing papers authored by Markus Eberl
This map shows the geographic impact of Markus Eberl'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 Eberl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Eberl more than expected).
Fields of papers citing papers by Markus Eberl
This network shows the impact of papers produced by Markus Eberl. 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 Eberl. The network helps show where Markus Eberl may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Eberl, 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 | 2015 | 265 | |
| 2 | 2009 | 175 | |
| 3 | 2012 | 137 | |
| 4 | 2017 | 75 | |
| 5 | 2013 | 68 | |
| 6 | 2018 | 41 | |
| 7 | 2016 | 30 | |
| 8 | 2011 | 27 | |
| 9 | 2022 | 13 | |
| 10 | 2000 | 6 | |
| 11 | 2023 | 3 |
About Markus Eberl
Markus Eberl is a scholar working on Molecular Biology, Oncology, Dermatology, Genetics and Pathology and Forensic Medicine, having authored 11 papers that have together received 840 indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (7 papers), Genetic and rare skin diseases. (3 papers), Cancer-related Molecular Pathways (3 papers), Cancer and Skin Lesions (3 papers), Oral and Maxillofacial Pathology (2 papers), Epigenetics and DNA Methylation (1 paper), Microgrid Control and Optimization (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Dermatology (107 citations), Oncology (293 citations), Molecular Biology (505 citations), Psychiatry and Mental health (83 citations) and Pathology and Forensic Medicine (73 citations). Markus Eberl has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Andrzej A. Dlugosz, Monique Verhaegen, Christopher K. Bichakjian, Sunny Y. Wong, Doris Mangelberger, Fritz Aberger, Natalia A. Veniaminova, Nicole L. Ward, Abdelmadjid Belkadi and Alicia N. Vagnozzi. Their work appears in journals such as Cancer Research, Cell stem cell, EMBO Molecular Medicine, Cell Reports and Oncogene.
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.