Anna Wiksten
Impact in
- Rheumatology top 10%
- Spondyloarthritis Studies and Treatments
- Rheumatoid Arthritis Research and Therapies
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- Meta-analysis and systematic reviews
Papers in
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- Spondyloarthritis Studies and Treatments 3
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- Meta-analysis and systematic reviews 3
- Co-authors
- Guido Schwarzer (1 shared paper)Gerta Rücker (1 shared paper)Päivi Hämäläinen (2 shared papers)Tanja Hakkarainen (2 shared papers)Eija Rosti‐Otajärvi (2 shared papers)Juhani Ruutiainen (2 shared papers)Hideto Kameda (3 shared papers)Marleen van de Sande (2 shared papers)
- Journals
- Brain and Behavior (2 papers)Arthritis & Rheumatology (1 paper)Annals of the Rheumatic Diseases (1 paper)Journal of Hypertension (1 paper)Statistics in Medicine (1 paper)
- Partner nations
- SwitzerlandGermanyFinland
In The Last Decade
Anna Wiksten
11 papers receiving 355 citations
Peers
Comparison fields: 5 of 66
- Rheumatology 130
- Statistics, Probability and Uncertainty 28
- Pathology and Forensic Medicine 60
- Occupational Therapy 14
- Hematology 32
Countries citing papers authored by Anna Wiksten
This map shows the geographic impact of Anna Wiksten'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 Anna Wiksten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Wiksten more than expected).
Fields of papers citing papers by Anna Wiksten
This network shows the impact of papers produced by Anna Wiksten. 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 Anna Wiksten. The network helps show where Anna Wiksten may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Wiksten, 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 | 117 | |
| 2 | 2017 | 74 | |
| 3 | 2016 | 57 | |
| 4 | 2020 | 25 | |
| 5 | 2021 | 24 | |
| 6 | 2017 | 18 | |
| 7 | 2014 | 14 | |
| 8 | 2018 | 12 | |
| 9 | 2017 | 12 | |
| 10 | 2020 | 5 | |
| 11 | Demonstration of Preclinical Efficacy in Pulmonary Fibrosis Models and of Clinical Safety, Tolerability, and Pharmacodynamic Effects of the First-in-Class Angiotensin AT2-Receptor Agonist Compound 21 (C21) | 2018 | 1 |
About Anna Wiksten
Anna Wiksten is a scholar working on Rheumatology, Statistics, Probability and Uncertainty, Pathology and Forensic Medicine, Surgery and Occupational Therapy, having authored 11 papers that have together received 359 indexed citations. Recurring topics across this work include Spondyloarthritis Studies and Treatments (3 papers), Meta-analysis and systematic reviews (3 papers), Multiple Sclerosis Research Studies (2 papers), Bone and Joint Diseases (1 paper), Pulmonary Hypertension Research and Treatments (1 paper), Wound Healing and Treatments (1 paper), Economic and Environmental Valuation (1 paper) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Rheumatology (130 citations), Statistics, Probability and Uncertainty (28 citations), Pathology and Forensic Medicine (60 citations), Occupational Therapy (14 citations) and Hematology (32 citations). Anna Wiksten has collaborated with scholars based in Switzerland, Germany and Finland. Frequent co-authors include Guido Schwarzer, Gerta Rücker, Päivi Hämäläinen, Tanja Hakkarainen, Eija Rosti‐Otajärvi, Juhani Ruutiainen, Hideto Kameda, Marleen van de Sande, Jürgen Braun and Ricardo Blanco. Their work appears in journals such as Brain and Behavior, Arthritis & Rheumatology, Annals of the Rheumatic Diseases, Journal of Hypertension and Statistics in Medicine.
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.