Thomas Røraas
Impact in
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- Meta-analysis and systematic reviews
- Physiology top 5%
- Clinical Laboratory Practices and Quality Control
Papers in
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- Clinical Laboratory Practices and Quality Control 9
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- Statistical Methods in Clinical Trials 4
- Co-authors
- Sverre Sandberg (27 shared papers)Per Hyltoft Petersen (10 shared papers)Anna Carobene (11 shared papers)William A. Bartlett (9 shared papers)Pilar Fernández–Calle (10 shared papers)Abdurrahman Coşkun (10 shared papers)Federica Braga (5 shared papers)Bård Støve (4 shared papers)
In The Last Decade
Thomas Røraas
28 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Statistics, Probability and Uncertainty 191
- Physiology 455
- Statistics and Probability 139
- Nephrology 108
- Internal Medicine 24
Countries citing papers authored by Thomas Røraas
This map shows the geographic impact of Thomas Røraas'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 Thomas Røraas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Røraas more than expected).
Fields of papers citing papers by Thomas Røraas
This network shows the impact of papers produced by Thomas Røraas. 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 Thomas Røraas. The network helps show where Thomas Røraas may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Røraas, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 160 | |
| 2 | 2015 | 124 | |
| 3 | 2012 | 107 | |
| 4 | 2016 | 104 | |
| 5 | 2016 | 87 | |
| 6 | 2014 | 77 | |
| 7 | 2018 | 73 | |
| 8 | 2013 | 70 | |
| 9 | 2017 | 61 | |
| 10 | 2017 | 49 | |
| 11 | 2013 | 40 | |
| 12 | 2018 | 35 | |
| 13 | 2009 | 35 | |
| 14 | 2018 | 32 | |
| 15 | 2018 | 32 | |
| 16 | 2015 | 26 | |
| 17 | 2021 | 20 | |
| 18 | 2017 | 19 | |
| 19 | 2019 | 19 | |
| 20 | 2010 | 14 |
About Thomas Røraas
Thomas Røraas is a scholar working on Physiology, Statistics and Probability, Statistics, Probability and Uncertainty, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (9 papers), Statistical Methods in Clinical Trials (4 papers), Meta-analysis and systematic reviews (3 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Acute Myocardial Infarction Research (2 papers), Folate and B Vitamins Research (1 paper) and Blood properties and coagulation (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (191 citations), Physiology (455 citations), Statistics and Probability (139 citations), Nephrology (108 citations) and Internal Medicine (24 citations). Thomas Røraas has collaborated with scholars based in Norway, Italy and Türkiye. Frequent co-authors include Sverre Sandberg, Per Hyltoft Petersen, Anna Carobene, William A. Bartlett, Pilar Fernández–Calle, Abdurrahman Coşkun, Federica Braga, Bård Støve, Jorge Díaz–Garzón and Niels Jonker. Their work appears in journals such as Clinical Chemistry, Clinical Chemistry and Laboratory Medicine (CCLM), Clinica Chimica Acta, Scandinavian Journal of Clinical and Laboratory Investigation and Diabetes Technology & Therapeutics.
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.