Karin Laas
Impact in
- Pathology and Forensic Medicine top 10%
- Vitamin D Research Studies
- Rheumatology top 10%
- Rheumatoid Arthritis Research and Therapies
Papers in
-
- Rheumatoid Arthritis Research and Therapies 4
- Spondyloarthritis Studies and Treatments 1
- Systemic Lupus Erythematosus Research 1
- Genetics 1
- Chronic Lymphocytic Leukemia Research 1
- Co-authors
- B. Seriolo (1 shared paper)Maria Elena Secchi (1 shared paper)Sabrina Paolino (1 shared paper)Kati Otsa (1 shared paper)Alberto Sulli (1 shared paper)Maurizio Cutolo (1 shared paper)Marjatta Leirisalo‐Repo (3 shared papers)Hannu Kautiainen (2 shared papers)
- Journals
- Clinical Rheumatology (1 paper)Annals of the Rheumatic Diseases (1 paper)Rheumatology International (1 paper)PubMed (2 papers)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)
In The Last Decade
Karin Laas
5 papers receiving 260 citations
Peers
Comparison fields: 5 of 45
- Pathology and Forensic Medicine 139
- Rheumatology 77
- Immunology 51
- Orthopedics and Sports Medicine 16
- Psychiatry and Mental health 22
Countries citing papers authored by Karin Laas
This map shows the geographic impact of Karin Laas'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 Karin Laas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Laas more than expected).
Fields of papers citing papers by Karin Laas
This network shows the impact of papers produced by Karin Laas. 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 Karin Laas. The network helps show where Karin Laas may publish in the future.
Co-authors
The 13 scholars most cited alongside Karin Laas, 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 | Circannual vitamin d serum levels and disease activity in rheumatoid arthritis: Northern versus Southern Europe. | 2007 | 171 |
| 2 | 2008 | 40 | |
| 3 | 2008 | 32 | |
| 4 | 2005 | 18 | |
| 5 | Early improvement of health-related quality of life during treatment with etanercept and adalimumab in patients with rheumatoid arthritis in routine practice. | 2009 | 9 |
| 6 | 2019 | 0 |
About Karin Laas
Karin Laas is a scholar working on Rheumatology, Genetics, Pathology and Forensic Medicine, Conservation and Hematology, having authored 6 papers that have together received 270 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (4 papers), Spondyloarthritis Studies and Treatments (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Autoimmune and Inflammatory Disorders Research (1 paper), Fibromyalgia and Chronic Fatigue Syndrome Research (1 paper), Vitamin D Research Studies (1 paper), Systemic Lupus Erythematosus Research (1 paper) and Art Therapy and Mental Health (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (139 citations), Rheumatology (77 citations), Immunology (51 citations), Orthopedics and Sports Medicine (16 citations) and Psychiatry and Mental health (22 citations). Karin Laas has collaborated with scholars based in Finland, Estonia and Italy. Frequent co-authors include B. Seriolo, Maria Elena Secchi, Sabrina Paolino, Kati Otsa, Alberto Sulli, Maurizio Cutolo, Marjatta Leirisalo‐Repo, Hannu Kautiainen, Ritva Peltomaa and Pirjo Räsänen. Their work appears in journals such as Clinical Rheumatology, Annals of the Rheumatic Diseases, Rheumatology International, PubMed and DOAJ (DOAJ: Directory of Open Access Journals).
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.