Daniela Weidner

2.1k citations
15 papers · 698 · h-index 12

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

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 6
    • Biomarkers in Disease Mechanisms 1
    • Bone Metabolism and Diseases 2
    • Ubiquitin and proteasome pathways 1

Daniela Weidner

15 papers receiving 687 citations

Peers

Daniela Weidner
Comparison fields: 5 of 83
  • Immunology 293
  • Rheumatology 115
  • Immunology and Allergy 46
  • Orthopedics and Sports Medicine 49
  • Periodontics 22
Replace Youn‐Kwan Jung with:
Youn‐Kwan Jung South Korea
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G L Costa United States
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Daniela Weidner relative to Youn‐Kwan Jung South Korea Youn‐Kwan Jung's profile →
Citations per field
00.5×4.5×
Youn‐Kwan Jung · 1×
Citations per year

Countries citing papers authored by Daniela Weidner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniela Weidner Line = papers co-authored together Daniela Weidner links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2020133
2 2016114
3 2018102
4 202098
5 201665
6 201644
7 201634
8 202031
9 201821
10 201816
11 202212
12 202312
13 20098
14 20235
15
Monocytes and granulocytes orchestrate induction and resolution of inflammation in gout
20143

About Daniela Weidner

Daniela Weidner is a scholar working on Immunology, Molecular Biology, Rheumatology, Surgery and Nephrology, having authored 15 papers that have together received 698 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Bone Metabolism and Diseases (2 papers), Blood disorders and treatments (2 papers), Vitamin C and Antioxidants Research (1 paper), Biomarkers in Disease Mechanisms (1 paper), Sodium Intake and Health (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Immunology (293 citations), Rheumatology (115 citations), Immunology and Allergy (46 citations), Orthopedics and Sports Medicine (49 citations) and Periodontics (22 citations). Daniela Weidner has collaborated with scholars based in Germany, Ukraine and China. Frequent co-authors include Georg Schett, Markus Hoffmann, Luis E. Muñoz, 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, The FASEB Journal, Arthritis Research & Therapy and PLoS ONE.

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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