Tomas Bergvall
- Toxicology top 0.5%
- Computational Theory and Mathematics top 10%
- Pharmacology
- Economics and Econometrics
- Pediatrics, Perinatology and Child Health
- Co-authors
- G. Niklas NorénMarie LindquistJohan ElleniusOla CasterCarrie E. PierceMartijn J. SchuemieKristina StarDavid Madigan
- Topics
- Pharmacovigilance and Adverse Drug Reactions (10 papers)Drug-Induced Adverse Reactions (5 papers)Computational Drug Discovery Methods (4 papers)
- Journals
- BioMed Research InternationalJournal of the American Medical Informatics AssociationDrug Safety
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
Tomas Bergvall
12 papers receiving 344 citations
Peers
Comparison fields: 5 of 74
- Toxicology 236
- Computational Theory and Mathematics 74
- Pharmacology 68
- Economics and Econometrics 64
- Pediatrics, Perinatology and Child Health 57
Countries citing papers authored by Tomas Bergvall
This map shows the geographic impact of Tomas Bergvall'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 Tomas Bergvall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomas Bergvall more than expected).
Fields of papers citing papers by Tomas Bergvall
This network shows the impact of papers produced by Tomas Bergvall. 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 Tomas Bergvall. The network helps show where Tomas Bergvall may publish in the future.
Co-authorship network of co-authors of Tomas Bergvall
This figure shows the co-authorship network connecting the top 25 collaborators of Tomas Bergvall. A scholar is included among the top collaborators of Tomas Bergvall 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 Tomas Bergvall. Tomas Bergvall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 17 | |
| 3 | 17 | |
| 4 | 59 | |
| 5 | 22 | |
| 6 | 24 | |
| 7 | 11 | |
| 8 | 11 | |
| 9 | 18 | |
| 10 | Demonstration of the SALUS Semantic Interoperability Framework for Case Series Characterization Studies. | 1 |
| 11 | 31 | |
| 12 | 140 |
About Tomas Bergvall
Tomas Bergvall is a scholar working on Toxicology, Medical Laboratory Technology and Health Information Management, having authored 12 papers that have together received 356 indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (10 papers), Drug-Induced Adverse Reactions (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Toxicology (236 citations), Geriatrics and Gerontology (24 citations) and Health Informatics (7 citations). Tomas Bergvall has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include G. Niklas Norén, Marie Lindquist, Johan Ellenius, Ola Caster, Carrie E. Pierce, Martijn J. Schuemie, Kristina Star, David Madigan, Sarah Watson and Kristina Juhlin. Their work appears in journals such as BioMed Research International, Journal of the American Medical Informatics Association and Drug Safety.
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.