Daniela Reider
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Biological Psychiatry top 10%
Papers in
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- Immunotherapy and Immune Responses 7
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 3
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- Tryptophan and brain disorders 1
- Co-authors
- Susanne Ebner (7 shared papers)Nikolaus Romani (8 shared papers)Gerold Schuler (2 shared papers)Marion Heuer (1 shared paper)Brigitte Eibl (1 shared paper)Dietger W. Niederwieser (1 shared paper)Eckhart Kämpgen (1 shared paper)Peter O Fritsch (4 shared papers)
In The Last Decade
Daniela Reider
11 papers receiving 1.4k citations
Daniela Reider's Hit Papers
Peers
Comparison fields: 5 of 80
- Immunology 1.1k
- Biological Psychiatry 52
- Immunology and Allergy 69
- Virology 43
- Oncology 215
Countries citing papers authored by Daniela Reider
This map shows the geographic impact of Daniela Reider'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 Daniela Reider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Reider more than expected).
Fields of papers citing papers by Daniela Reider
This network shows the impact of papers produced by Daniela Reider. 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 Daniela Reider. The network helps show where Daniela Reider may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Reider, 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 | Generation of mature dendritic cells from human blood An improved method with special regard to clinical applicability Hit paper breakdown → | 1996 | 997 |
| 2 | 2001 | 133 | |
| 3 | 2002 | 126 | |
| 4 | 1998 | 58 | |
| 5 | 2009 | 57 | |
| 6 | 2014 | 26 | |
| 7 | 2015 | 23 | |
| 8 | 2020 | 4 | |
| 9 | 2025 | 3 | |
| 10 | 2019 | 2 | |
| 11 | 2020 | 1 |
About Daniela Reider
Daniela Reider is a scholar working on Immunology, Biological Psychiatry, Immunology and Allergy, Oncology and Dermatology, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (3 papers), Tryptophan and brain disorders (1 paper), Systemic Sclerosis and Related Diseases (1 paper), vaccines and immunoinformatics approaches (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Immunology (1.1k citations), Biological Psychiatry (52 citations), Immunology and Allergy (69 citations), Virology (43 citations) and Oncology (215 citations). Daniela Reider has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include Susanne Ebner, Nikolaus Romani, Gerold Schuler, Marion Heuer, Brigitte Eibl, Dietger W. Niederwieser, Eckhart Kämpgen, Peter O Fritsch, Dietmar Fuchs and Barbara Wirleitner. Their work appears in journals such as JDDG Journal der Deutschen Dermatologischen Gesellschaft, Experimental Dermatology, Immunobiology, Journal of Immunological Methods and Journal of Leukocyte Biology.
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.