Sonja A. Swanson
- Genetics top 5%
- Clinical Psychology top 5%
- Molecular Biology
- Health top 5%
- Statistics and Probability top 2%
- Co-authors
- Miguel A. HernánRobert GolubMatthias EggerVeronika SkrivankovaNiki DimouJulian P. T. HigginsNeil M DaviesNicholas J. Timpson
- Topics
- Advanced Causal Inference Techniques (16 papers)Gun Ownership and Violence Research (10 papers)Suicide and Self-Harm Studies (9 papers)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Sonja A. Swanson
34 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Genetics 551
- Clinical Psychology 300
- Molecular Biology 280
- Health 239
- Statistics and Probability 233
Countries citing papers authored by Sonja A. Swanson
This map shows the geographic impact of Sonja A. Swanson'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 Sonja A. Swanson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonja A. Swanson more than expected).
Fields of papers citing papers by Sonja A. Swanson
This network shows the impact of papers produced by Sonja A. Swanson. 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 Sonja A. Swanson. The network helps show where Sonja A. Swanson may publish in the future.
Co-authorship network of co-authors of Sonja A. Swanson
This figure shows the co-authorship network connecting the top 25 collaborators of Sonja A. Swanson. A scholar is included among the top collaborators of Sonja A. Swanson 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 Sonja A. Swanson. Sonja A. Swanson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 28 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | Strengthening the reporting of observational studies in epidemiology using mendelian randomisation (STROBE-MR): explanation and elaborationbreakdown → | 861 |
| 10 | 58 | |
| 11 | 10 | |
| 12 | 25 | |
| 13 | 4 | |
| 14 | 27 | |
| 15 | 8 | |
| 16 | 16 | |
| 17 | 112 | |
| 18 | 57 | |
| 19 | 5 | |
| 20 | 54 |
About Sonja A. Swanson
Sonja A. Swanson is a scholar working on Statistics and Probability, Health and Ophthalmology, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (16 papers), Gun Ownership and Violence Research (10 papers) and Suicide and Self-Harm Studies (9 papers). The work is most often cited by research in Statistics and Probability (233 citations), Health (239 citations) and Genetics (551 citations). Sonja A. Swanson has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Miguel A. Hernán, Robert Golub, Matthias Egger, Veronika Skrivankova, Niki Dimou, Julian P. T. Higgins, Neil M Davies, Nicholas J. Timpson, Tyler J. VanderWeele and J. Brent Richards. Their work appears in journals such as New England Journal of Medicine, JAMA and Journal of the American Statistical Association.
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.