Daniela Sieghart

1.1k citations
22 papers · 457 · h-index 9

Impact in

    • 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
    • Osteoarthritis Treatment and Mechanisms

Papers in

Daniela Sieghart

19 papers receiving 454 citations

Peers

Daniela Sieghart
Comparison fields: 5 of 64
  • Infectious Diseases 175
  • Rheumatology 125
  • Complementary and Manual Therapy 12
  • Biochemistry 22
  • Immunology 51
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Juping Du China
Stephanie F Ling United Kingdom
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Antje Canisius Germany
Е. Л. Лучихина Russia
Guifen Shen China
Davide Testa Italy
Motohiro Oribe Japan
Clara Vigneron France
Wenyou Pan China
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Sieghart

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021149
2 202083
3 201857
4 201448
5 202225
6 202124
7 202221
8 202115
9 20238
10 20227
11 20236
12 20224
13 20224
14 20251
15 20171
16 20171
17 20181
18 20231
19 20141
20 20240

About Daniela Sieghart

Daniela Sieghart is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Immunology and Biochemistry, having authored 22 papers that have together received 457 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (10 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Systemic Lupus Erythematosus Research (4 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Sulfur Compounds in Biology (2 papers) and Systemic Sclerosis and Related Diseases (1 paper). The work is most often cited by research in Infectious Diseases (175 citations), Rheumatology (125 citations), Complementary and Manual Therapy (12 citations), Biochemistry (22 citations) and Immunology (51 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, Michael Bonelli, Paul Studenic, Josef S Smolen, Helga Radner and Leonhard X. Heinz. Their work appears in journals such as Annals of the Rheumatic Diseases, Clinical Microbiology and Infection, Frontiers in Immunology, RMD Open and Clinical Chemistry and Laboratory Medicine (CCLM).

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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