Hannes Datler
Impact in
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Response and Inflammation
- Immune cells in cancer
- Atherosclerosis and Cardiovascular Diseases
- Immunotherapy and Immune Responses
Papers in
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- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Immunodeficiency and Autoimmune Disorders 1
- Mast cells and histamine 1
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
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- Inflammasome and immune disorders 1
- Co-authors
- Alice Assinger (2 shared papers)Johannes A. Schmid (2 shared papers)Manuel Salzmann (2 shared papers)Philipp J. Hohensinner (1 shared paper)José Basílio (1 shared paper)Christine Brostjan (1 shared paper)Marion Mußbacher (1 shared paper)Christian Schoergenhofer (1 shared paper)
- Journals
- Frontiers in Immunology (2 papers)Journal of Thrombosis and Haemostasis (1 paper)The Journal of Immunology (1 paper)Cell Reports (1 paper)Molecular Immunology (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Hannes Datler
6 papers receiving 558 citations
Hannes Datler's Hit Papers
Peers
Comparison fields: 5 of 84
- Immunology 197
- Internal Medicine 17
- Cancer Research 72
- Biological Psychiatry 8
- Hematology 35
Countries citing papers authored by Hannes Datler
This map shows the geographic impact of Hannes Datler'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 Hannes Datler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannes Datler more than expected).
Fields of papers citing papers by Hannes Datler
This network shows the impact of papers produced by Hannes Datler. 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 Hannes Datler. The network helps show where Hannes Datler may publish in the future.
Co-authors
The 25 scholars most cited alongside Hannes Datler, 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 | Cell Type-Specific Roles of NF-κB Linking Inflammation and Thrombosis Hit paper breakdown → | 2019 | 488 |
| 2 | 2022 | 28 | |
| 3 | 2017 | 15 | |
| 4 | 2019 | 14 | |
| 5 | 2015 | 9 | |
| 6 | 2022 | 8 |
About Hannes Datler
Hannes Datler is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Pulmonary and Respiratory Medicine, having authored 6 papers that have together received 562 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), NF-κB Signaling Pathways (1 paper), Respiratory Support and Mechanisms (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Mast cells and histamine (1 paper), Inflammasome and immune disorders (1 paper) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Immunology (197 citations), Internal Medicine (17 citations), Cancer Research (72 citations), Biological Psychiatry (8 citations) and Hematology (35 citations). Hannes Datler has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Alice Assinger, Johannes A. Schmid, Manuel Salzmann, Philipp J. Hohensinner, José Basílio, Christine Brostjan, Marion Mußbacher, Christian Schoergenhofer, Bastian Hoesel and Peter Petzelbauer. Their work appears in journals such as Frontiers in Immunology, Journal of Thrombosis and Haemostasis, The Journal of Immunology, Cell Reports and Molecular Immunology.
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.