Daniela Sieghart
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Rheumatology top 10%
- Rheumatoid Arthritis Research and Therapies
- Systemic Lupus Erythematosus Research
Papers in
- Rheumatology 13
- Rheumatoid Arthritis Research and Therapies 9
- Systemic Lupus Erythematosus Research 7
- Osteoarthritis Treatment and Mechanisms 2
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- Monoclonal and Polyclonal Antibodies Research 9
- Co-authors
- Helmuth Haslacher (9 shared papers)G Steiner (12 shared papers)Daniel Aletaha (12 shared papers)Stephan Blüml (5 shared papers)Thomas Perkmann (6 shared papers)Paul Studenic (7 shared papers)Michael Bonelli (5 shared papers)Leonhard X. Heinz (4 shared papers)
In The Last Decade
Daniela Sieghart
17 papers receiving 438 citations
Peers
Comparison fields: 5 of 66
- Infectious Diseases 228
- Rheumatology 147
- Complementary and Manual Therapy 12
- Immunology 79
- Neurology 56
Countries citing papers authored by Daniela Sieghart
This map shows the geographic impact of Daniela Sieghart'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 Sieghart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Sieghart more than expected).
Fields of papers citing papers by Daniela Sieghart
This network shows the impact of papers produced by Daniela Sieghart. 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 Sieghart. The network helps show where Daniela Sieghart may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Sieghart, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 148 | |
| 2 | 2020 | 80 | |
| 3 | 2018 | 55 | |
| 4 | 2014 | 45 | |
| 5 | 2022 | 25 | |
| 6 | 2021 | 23 | |
| 7 | 2022 | 20 | |
| 8 | 2021 | 14 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2023 | 6 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2017 | 1 | |
| 15 | 2017 | 1 | |
| 16 | 2014 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Daniela Sieghart
Daniela Sieghart is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Immunology and Neurology, having authored 21 papers that have together received 443 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (9 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Systemic Lupus Erythematosus Research (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Peripheral Neuropathies and Disorders (3 papers), COVID-19 Clinical Research Studies (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and Sulfur Compounds in Biology (2 papers). The work is most often cited by research in Infectious Diseases (228 citations), Rheumatology (147 citations), Complementary and Manual Therapy (12 citations), Immunology (79 citations) and Neurology (56 citations). Daniela Sieghart has collaborated with scholars based in Austria, Germany and Sweden. Frequent co-authors include Helmuth Haslacher, G Steiner, Daniel Aletaha, Stephan Blüml, Thomas Perkmann, Paul Studenic, Michael Bonelli, Leonhard X. Heinz, Helga Radner and Josef S Smolen. Their work appears in journals such as Annals of the Rheumatic Diseases, Clinical Microbiology and Infection, Frontiers in Immunology, Therapeutic Advances in Musculoskeletal Disease and Clinical 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.