Markus Möbs

1.6k citations
53 papers · 1.3k · h-index 22

Impact in

    • Cutaneous lymphoproliferative disorders research
    • Cancer Genomics and Diagnostics
    • Breast Cancer Treatment Studies

Papers in

    • Cutaneous lymphoproliferative disorders research 26
    • Cancer Genomics and Diagnostics 5
    • Breast Cancer Treatment Studies 2

Markus Möbs

49 papers receiving 1.3k citations

Peers

Markus Möbs
Comparison fields: 5 of 65
  • Dermatology 279
  • Cancer Research 193
  • Pathology and Forensic Medicine 171
  • Oncology 152
  • Molecular Biology 270
Replace Ángel Pizarro with:
Ángel Pizarro Spain
Katalin Ferenczi United States
Yosuke Matsumoto Japan
Louise A. Brooks United Kingdom
Ariane Aigelsreiter Austria
Élodie Bal France
Karin J. Purdie United Kingdom
Sarah Lynn Ondrejka United States
Yuji Shimura Japan
Georgios Z. Rassidakis United States
Markus Möbs relative to Ángel Pizarro Spain Ángel Pizarro's profile →
Citations per field
00.5×2×4×5.5×
Ángel Pizarro · 1×
Citations per year

Countries citing papers authored by Markus Möbs

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009148
2 201998
3 201782
4 201678
5 201861
6 201660
7 201152
8 201252
9 201138
10 201938
11 201137
12 202036
13 201731
14 202130
15 201329
16 201628
17 201627
18 201226
19 201425
20 201625

About Markus Möbs

Markus Möbs is a scholar working on Dermatology, Cancer Research, Pathology and Forensic Medicine, Oncology and Genetics, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (26 papers), Cancer Genomics and Diagnostics (5 papers), Lymphoma Diagnosis and Treatment (3 papers), Lung Cancer Treatments and Mutations (2 papers), Neuroendocrine Tumor Research Advances (2 papers), BRCA gene mutations in cancer (2 papers), Breast Cancer Treatment Studies (2 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Dermatology (279 citations), Cancer Research (193 citations), Pathology and Forensic Medicine (171 citations), Oncology (152 citations) and Molecular Biology (270 citations). Markus Möbs has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Wolfram Sterry, Chalid Assaf, Daniel Humme, Jürgen Eberle, Jessica Rademacher, Ivana von Metzler, Britta Lamottke, Ulrike Heider, Maren Mieth and Orhan Sezer. Their work appears in journals such as Journal of Investigative Dermatology, JDDG Journal der Deutschen Dermatologischen Gesellschaft, Journal of Molecular Diagnostics, BMC Cancer and Leukemia.

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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