Tyler J. VanderWeele
- Health top 0.01%
- Statistics and Probability top 0.01%
- General Health Professions top 0.05%
- Clinical Psychology top 0.2%
- Public Health, Environmental and Occupational Health top 0.1%
- Co-authors
- Peng DingStijn VansteelandtMirjam J. KnolLinda ValeriMaya B. MathurJames M. RobinsEric J. Tchetgen TchetgenYing Chen
- Topics
- Advanced Causal Inference Techniques (141 papers)Psychological Well-being and Life Satisfaction (93 papers)Health disparities and outcomes (81 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Tyler J. VanderWeele
440 papers receiving 37.6k citations
Hit Papers
Peers
Comparison fields: 5 of 215
- Health 6.6k
- Statistics and Probability 5.7k
- General Health Professions 5.5k
- Clinical Psychology 5.4k
- Public Health, Environmental and Occupational Health 5.0k
Countries citing papers authored by Tyler J. VanderWeele
This map shows the geographic impact of Tyler J. VanderWeele'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 Tyler J. VanderWeele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler J. VanderWeele more than expected).
Fields of papers citing papers by Tyler J. VanderWeele
This network shows the impact of papers produced by Tyler J. VanderWeele. 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 Tyler J. VanderWeele. The network helps show where Tyler J. VanderWeele may publish in the future.
Co-authorship network of co-authors of Tyler J. VanderWeele
This figure shows the co-authorship network connecting the top 25 collaborators of Tyler J. VanderWeele. A scholar is included among the top collaborators of Tyler J. VanderWeele 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 Tyler J. VanderWeele. Tyler J. VanderWeele is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 6 | |
| 13 | 25 | |
| 14 | 39 | |
| 15 | 4 | |
| 16 | 62 | |
| 17 | 58 | |
| 18 | 14 | |
| 19 | 68 | |
| 20 | 30 |
About Tyler J. VanderWeele
Tyler J. VanderWeele is a scholar working on Statistics and Probability, Health and Neuropsychology and Physiological Psychology, having authored 487 papers that have together received 38.4k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (141 papers), Psychological Well-being and Life Satisfaction (93 papers) and Health disparities and outcomes (81 papers). The work is most often cited by research in Health (6.6k citations), Statistics and Probability (5.7k citations) and Applied Psychology (1.5k citations). Tyler J. VanderWeele has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Peng Ding, Stijn Vansteelandt, Mirjam J. Knol, Linda Valeri, Maya B. Mathur, James M. Robins, Eric J. Tchetgen Tchetgen, Ying Chen, Brandon L. Pierce and Habibul Ahsan. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and JAMA.
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.