Markus Luber

884 citations
11 papers · 306 · h-index 6

Impact in

  • Rheumatology top 10%
    • Spondyloarthritis Studies and Treatments
    • Rheumatoid Arthritis Research and Therapies
    • Psoriasis: Treatment and Pathogenesis
    • IL-33, ST2, and ILC Pathways

Papers in

    • IL-33, ST2, and ILC Pathways 4
    • Psoriasis: Treatment and Pathogenesis 2
    • Protein purification and stability 1
    • Viral Infectious Diseases and Gene Expression in Insects 1

Markus Luber

8 papers receiving 302 citations

Peers

Markus Luber
Comparison fields: 5 of 74
  • Rheumatology 80
  • Immunology 99
  • Nuclear Energy and Engineering 2
  • Hematology 35
  • Dermatology 20
Replace Tomasz Burakowski with:
Tomasz Burakowski Poland
Audrey Paoletti France
Xiangdan Wang United States
Reiko Kamijima Japan
Wigbert Berg Germany
Kenjiro Ito Japan
Erin Carter United States
Sally S. M. Lee‐Sayer Canada
Bruce S. Bochner United States
Joyce Lübbers Netherlands
Markus Luber relative to Tomasz Burakowski Poland Tomasz Burakowski's profile →
Citations per field
00.5×3.3×
Tomasz Burakowski · 1×
Citations per year

Countries citing papers authored by Markus Luber

Since Specialization
Citations

This map shows the geographic impact of Markus Luber'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 Luber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Luber more than expected).

Fields of papers citing papers by Markus Luber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus Luber. 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 Luber. The network helps show where Markus Luber may publish in the future.

Co-authors

The 25 scholars most cited alongside Markus Luber, 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 Luber Line = papers co-authored together Markus Luber links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2020108
2 201874
3 201942
4 202137
5 201032
6 199511
7 20211
8 20201
9 20200
10 20250
11 20180

About Markus Luber

Markus Luber is a scholar working on Immunology, Molecular Biology, Pathology and Forensic Medicine, Surgery and Epidemiology, having authored 11 papers that have together received 306 indexed citations. Recurring topics across this work include IL-33, ST2, and ILC Pathways (4 papers), Systemic Sclerosis and Related Diseases (3 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Eosinophilic Esophagitis (2 papers), ZnO doping and properties (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Protein purification and stability (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Rheumatology (80 citations), Immunology (99 citations), Nuclear Energy and Engineering (2 citations), Hematology (35 citations) and Dermatology (20 citations). Markus Luber has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Georg Schett, Andreas Ramming, Jörg H. W. Distler, Oliver Distler, Clara Dees, Christina Bergmann, Akihiko Yoshimura, Kolja Gelse, Xiang Zhou and Emmanuel Karouzakis. Their work appears in journals such as Annals of the Rheumatic Diseases, Physical review. B, Condensed matter, iScience, Journal of Clinical Investigation and European Journal of Pharmaceutics and Biopharmaceutics.

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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