Tiina Varis
- Pharmacology top 5%
- Infectious Diseases
- Oncology
- Epidemiology
- Pediatrics, Perinatology and Child Health
- Co-authors
- Pertti J. NeuvonenKari T. KivistöJanne T. BackmanKirsi‐Maija KaukonenKim Y. GreenTimo VesikariAlbert Z. KapikianPekka Hannonen
- Topics
- Pharmacogenetics and Drug Metabolism (5 papers)Pharmacological Effects and Toxicity Studies (4 papers)Drug Transport and Resistance Mechanisms (2 papers)
- Partner nations
- FinlandUnited States
In The Last Decade
Tiina Varis
11 papers receiving 341 citations
Peers
Comparison fields: 5 of 67
- Pharmacology 118
- Infectious Diseases 113
- Oncology 67
- Epidemiology 61
- Pediatrics, Perinatology and Child Health 60
Countries citing papers authored by Tiina Varis
This map shows the geographic impact of Tiina Varis'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 Tiina Varis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiina Varis more than expected).
Fields of papers citing papers by Tiina Varis
This network shows the impact of papers produced by Tiina Varis. 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 Tiina Varis. The network helps show where Tiina Varis may publish in the future.
Co-authorship network of co-authors of Tiina Varis
This figure shows the co-authorship network connecting the top 25 collaborators of Tiina Varis. A scholar is included among the top collaborators of Tiina Varis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tiina Varis. Tiina Varis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Käypä hoito suositus: Sukupuolitautien diagnostiikka ja hoito | 0 |
| 2 | [Update on current care guidelines: diagnosis and treatment of sexually transmitted infections]. | 1 |
| 3 | [Update on current care guidelines: diagnostics, treatment and rehabilitation of multiple sclerosis]. | 1 |
| 4 | [Rheumatoid arthritis (updated Current Care guideline)]. | 5 |
| 5 | 26 | |
| 6 | 85 | |
| 7 | 27 | |
| 8 | 29 | |
| 9 | 50 | |
| 10 | 36 | |
| 11 | 72 | |
| 12 | 21 |
About Tiina Varis
Tiina Varis is a scholar working on Pharmacology, Pediatrics, Perinatology and Child Health and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 353 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Pharmacological Effects and Toxicity Studies (4 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Pharmacology (118 citations), Transplantation (24 citations) and Infectious Diseases (113 citations). Tiina Varis has collaborated with scholars based in Finland and United States. Frequent co-authors include Pertti J. Neuvonen, Kari T. Kivistö, Janne T. Backman, Kirsi‐Maija Kaukonen, Kari T. Kivistö, Kim Y. Green, Timo Vesikari, Albert Z. Kapikian, Pekka Hannonen and Kimmo Mattila. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Vaccine and European Journal of Clinical Pharmacology.
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.