Markus Eberl

1.2k citations
12 papers · 1k · h-index 11

Impact in

  • Oncology top 10%
    • Polyomavirus and related diseases
    • Cancer Cells and Metastasis
    • Hedgehog Signaling Pathway Studies

Papers in

    • Hedgehog Signaling Pathway Studies 9
    • Cytokine Signaling Pathways and Interactions 1
    • Polyomavirus and related diseases 1
    • CAR-T cell therapy research 1

Markus Eberl

12 papers receiving 1k citations

Peers

Markus Eberl
Comparison fields: 5 of 58
  • Oncology 218
  • Molecular Biology 479
  • Psychiatry and Mental health 95
  • Epidemiology 139
  • Genetics 30
Replace Roberta Lotti with:
Roberta Lotti Italy
Claire P. Mansur United States
Roxane M. Pommier France
Minako Nakazawa Japan
Gary G. McIntosh United Kingdom
Michaela Hanneder Austria
Tinglin Yan China
Elisabetta Palazzo Italy
Minhao Yu China
Christelle Adolphe Australia
Markus Eberl relative to Roberta Lotti Italy Roberta Lotti's profile →
Citations per field
00.5×2×4×5.9×
Roberta Lotti · 1×
Citations per year

Countries citing papers authored by Markus Eberl

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

12 of 12 papers shown
#Work
1 2015297
2 2009182
3 2012147
4 2018104
5 201779
6 201371
7 201843
8 201634
9 201129
10 201825
11 202215
12 20234

About Markus Eberl

Markus Eberl is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Nuclear Energy and Engineering, having authored 12 papers that have together received 1k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (9 papers), Cytokine Signaling Pathways and Interactions (1 paper), Polyomavirus and related diseases (1 paper), Lymphoma Diagnosis and Treatment (1 paper), CAR-T cell therapy research (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Oncology (218 citations), Molecular Biology (479 citations), Psychiatry and Mental health (95 citations), Epidemiology (139 citations) and Genetics (30 citations). Markus Eberl has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Andrzej Antoni Dlugosz, Monique Elise Verhaegen, Christopher Keram Bichakjian, Sunny Y. Wong, Doris Mangelberger, Fritz Aberger, Natalia A. Veniaminova, Abdelmadjid Belkadi, Nicole L. Ward and Alicia N. Vagnozzi. Their work appears in journals such as Cancer Research, Frontiers in Immunology, Molecular Cell, Oncotarget and PLoS ONE.

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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