Daniela Weidner
Impact in
- Immunology top 10%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune cells in cancer
- Immune Response and Inflammation
- Rheumatology top 10%
- Rheumatoid Arthritis Research and Therapies
Papers in ⓘ
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 6
- Inflammation biomarkers and pathways 1
- Phagocytosis and Immune Regulation 1
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- Gout, Hyperuricemia, Uric Acid 2
- Co-authors
- Georg Schett (12 shared papers)Luis E. Muñoz (7 shared papers)Markus Hoffmann (8 shared papers)Martin Herrmann (8 shared papers)Mona Biermann (5 shared papers)Christine Schauer (5 shared papers)Gerhard Krönke (3 shared papers)Ulrike Steffen (3 shared papers)
In The Last Decade
Daniela Weidner
15 papers receiving 669 citations
Peers
Comparison fields: 5 of 84
- Immunology 303
- Rheumatology 135
- Immunology and Allergy 53
- Orthopedics and Sports Medicine 58
- Periodontics 25
Countries citing papers authored by Daniela Weidner
This map shows the geographic impact of Daniela Weidner'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 Weidner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Weidner more than expected).
Fields of papers citing papers by Daniela Weidner
This network shows the impact of papers produced by Daniela Weidner. 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 Weidner. The network helps show where Daniela Weidner may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Weidner, 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 | 2020 | 127 | |
| 2 | 2016 | 114 | |
| 3 | 2018 | 98 | |
| 4 | 2020 | 98 | |
| 5 | 2016 | 65 | |
| 6 | 2016 | 41 | |
| 7 | 2016 | 33 | |
| 8 | 2020 | 30 | |
| 9 | 2018 | 20 | |
| 10 | 2018 | 15 | |
| 11 | 2023 | 11 | |
| 12 | 2022 | 11 | |
| 13 | 2009 | 8 | |
| 14 | 2023 | 5 | |
| 15 | Monocytes and granulocytes orchestrate induction and resolution of inflammation in gout | 2014 | 3 |
About Daniela Weidner
Daniela Weidner is a scholar working on Immunology, Nephrology, Rheumatology, Endocrinology and Small Animals, having authored 15 papers that have together received 679 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Cytokine Signaling Pathways and Interactions (2 papers), Blood disorders and treatments (2 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Bone Metabolism and Diseases (2 papers), Pancreatic function and diabetes (1 paper), Inflammation biomarkers and pathways (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Immunology (303 citations), Rheumatology (135 citations), Immunology and Allergy (53 citations), Orthopedics and Sports Medicine (58 citations) and Periodontics (25 citations). Daniela Weidner has collaborated with scholars based in Germany, Ukraine and China. Frequent co-authors include Georg Schett, Luis E. Muñoz, Markus Hoffmann, Martin Herrmann, Mona Biermann, Christine Schauer, Gerhard Krönke, Ulrike Steffen, Darja Andreev and Jonas Hahn. Their work appears in journals such as Frontiers in Immunology, Arthritis & Rheumatology, Scientific Reports, Science Translational Medicine and Cells.
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.