Markus Möbs
- Dermatology top 2%
- Cutaneous lymphoproliferative disorders research 22
- Dermatology and Skin Diseases 3
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- Lymphoma Diagnosis and Treatment 15
- Immunology top 10%
- T-cell and Retrovirus Studies 9
- Oncology top 10%
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- Chronic Lymphocytic Leukemia Research 4
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- Fungal Infections and Studies 4
- Neuroendocrine Tumor Research Advances 3
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- CNS Lymphoma Diagnosis and Treatment 3
- Co-authors
- Wolfram SterryChalid AssafMarc BeyerDaniel HummeJürgen EberleFrank BraunMichael HummelNadya Al‐Yacoub
- Journals
- Journal of Investigative Dermatology (6 papers)JDDG Journal der Deutschen Dermatologischen Gesellschaft (5 papers)Journal of Molecular Diagnostics (3 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Markus Möbs
39 papers receiving 794 citations
Peers
Comparison fields: 5 of 68
- Dermatology 239
- Pathology and Forensic Medicine 250
- Immunology 240
- Oncology 303
- Cancer Research 116
Countries citing papers authored by Markus Möbs
This map shows the geographic impact of Markus Möbs'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 Möbs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Möbs more than expected).
Fields of papers citing papers by Markus Möbs
This network shows the impact of papers produced by Markus Möbs. 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 Möbs. The network helps show where Markus Möbs may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Möbs, 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 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2021 | 2 | |
| 6 | 2021 | 23 | |
| 7 | 2020 | 28 | |
| 8 | 2018 | 54 | |
| 9 | 2018 | 7 | |
| 10 | 2017 | 28 | |
| 11 | 2017 | 12 | |
| 12 | 2016 | 13 | |
| 13 | 2016 | 26 | |
| 14 | 2015 | 18 | |
| 15 | 2014 | 17 | |
| 16 | 2014 | 22 | |
| 17 | 2013 | 1 | |
| 18 | 2013 | 8 | |
| 19 | 2011 | 37 | |
| 20 | 2010 | 23 |
About Markus Möbs
Markus Möbs is a scholar working on Dermatology, Pathology and Forensic Medicine and Immunology, having authored 42 papers that have together received 802 indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (22 papers), Lymphoma Diagnosis and Treatment (15 papers), T-cell and Retrovirus Studies (9 papers), Chronic Lymphocytic Leukemia Research (4 papers), Fungal Infections and Studies (4 papers), Neuroendocrine Tumor Research Advances (3 papers), CNS Lymphoma Diagnosis and Treatment (3 papers) and Dermatology and Skin Diseases (3 papers). The work is most often cited by research in Dermatology (239 citations), Pathology and Forensic Medicine (250 citations) and Immunology (240 citations). Markus Möbs has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Wolfram Sterry, Chalid Assaf, Marc Beyer, Daniel Humme, Jürgen Eberle, Frank Braun, Michael Hummel, Nadya Al‐Yacoub, Michael Plötz and Karin Müller‐Decker. Their work appears in journals such as Journal of Investigative Dermatology, JDDG Journal der Deutschen Dermatologischen Gesellschaft, Journal of Molecular Diagnostics, Leukemia and Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin.
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.