Markus Blaess
Impact in
-
- Calcium signaling and nucleotide metabolism
- Dermatology top 10%
- Dermatology and Skin Diseases
Papers in
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- Sphingolipid Metabolism and Signaling 10
- Lipid Membrane Structure and Behavior 4
- Inflammasome and immune disorders 3
- Machine Learning in Bioinformatics 2
- Co-authors
- Hans‐Peter Deigner (12 shared papers)Ralf A. Claus (14 shared papers)Gabriel A. Bonaterra (3 shared papers)Ralf Kinscherf (3 shared papers)René Csük (8 shared papers)Lars Kaiser (5 shared papers)Michael Bauer (5 shared papers)Jürgen Metz (1 shared paper)
- Journals
- International Journal of Molecular Sciences (5 papers)The FASEB Journal (2 papers)Frontiers in Microbiology (2 papers)Molecular Therapy (1 paper)European Journal of Medicinal Chemistry (1 paper)
- Partner nations
- GermanyUnited StatesBelgium
In The Last Decade
Markus Blaess
25 papers receiving 447 citations
Peers
Comparison fields: 5 of 72
- Physiology 23
- Dermatology 36
- Critical Care and Intensive Care Medicine 20
- Immunology 76
- Molecular Biology 242
Countries citing papers authored by Markus Blaess
This map shows the geographic impact of Markus Blaess'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 Blaess with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Blaess more than expected).
Fields of papers citing papers by Markus Blaess
This network shows the impact of papers produced by Markus Blaess. 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 Blaess. The network helps show where Markus Blaess may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Blaess, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 94 | |
| 2 | 2001 | 74 | |
| 3 | 2001 | 62 | |
| 4 | 2020 | 42 | |
| 5 | 2019 | 25 | |
| 6 | 2017 | 23 | |
| 7 | 2016 | 17 | |
| 8 | 2017 | 16 | |
| 9 | 2021 | 13 | |
| 10 | 2012 | 12 | |
| 11 | 2024 | 11 | |
| 12 | 2015 | 11 | |
| 13 | 2016 | 11 | |
| 14 | 2015 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2017 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2019 | 4 | |
| 19 | 2015 | 4 | |
| 20 | 2017 | 3 |
About Markus Blaess
Markus Blaess is a scholar working on Molecular Biology, Immunology, Hematology, Infectious Diseases and Dermatology, having authored 25 papers that have together received 452 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (10 papers), Lipid Membrane Structure and Behavior (4 papers), Dermatology and Skin Diseases (3 papers), COVID-19 Clinical Research Studies (3 papers), Inflammasome and immune disorders (3 papers), Machine Learning in Bioinformatics (2 papers), Urticaria and Related Conditions (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Physiology (23 citations), Dermatology (36 citations), Critical Care and Intensive Care Medicine (20 citations), Immunology (76 citations) and Molecular Biology (242 citations). Markus Blaess has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Hans‐Peter Deigner, Ralf A. Claus, Gabriel A. Bonaterra, Ralf Kinscherf, René Csük, Lars Kaiser, Michael Bauer, Jürgen Metz, Martin Sauer and Michael Cantz. Their work appears in journals such as International Journal of Molecular Sciences, The FASEB Journal, Frontiers in Microbiology, Molecular Therapy and European Journal of Medicinal Chemistry.
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.