Linda Valeri
- Health, Toxicology and Mutagenesis top 0.2%
- Public Health, Environmental and Occupational Health top 2%
- Pediatrics, Perinatology and Child Health top 1%
- Nutrition and Dietetics top 1%
- Environmental Chemistry top 1%
- Co-authors
- Tyler J. VanderWeeleBrent A. CoullJennifer F. BobbBirgit Claus HennMaitreyi MazumdarDavid C. ChristianiRobert O. WrightJohn J. Godleski
- Topics
- Advanced Causal Inference Techniques (16 papers)Heavy Metal Exposure and Toxicity (11 papers)Statistical Methods and Inference (10 papers)
- Journals
- CirculationJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- United StatesFranceItaly
In The Last Decade
Linda Valeri
109 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Health, Toxicology and Mutagenesis 2.8k
- Public Health, Environmental and Occupational Health 748
- Pediatrics, Perinatology and Child Health 688
- Nutrition and Dietetics 674
- Environmental Chemistry 589
Countries citing papers authored by Linda Valeri
This map shows the geographic impact of Linda Valeri'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 Linda Valeri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Valeri more than expected).
Fields of papers citing papers by Linda Valeri
This network shows the impact of papers produced by Linda Valeri. 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 Linda Valeri. The network helps show where Linda Valeri may publish in the future.
Co-authorship network of co-authors of Linda Valeri
This figure shows the co-authorship network connecting the top 25 collaborators of Linda Valeri. A scholar is included among the top collaborators of Linda Valeri 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 Linda Valeri. Linda Valeri 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 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 85 | |
| 10 | 4 | |
| 11 | 28 | |
| 12 | 1 | |
| 13 | 38 | |
| 14 | 16 | |
| 15 | 40 | |
| 16 | 9 | |
| 17 | 30 | |
| 18 | 18 | |
| 19 | Mediation analysis allowing for exposure–mediator interactions and causal interpretation: Theoretical assumptions and implementation with SAS and SPSS macros.breakdown → | 1500 |
| 20 | 17 |
About Linda Valeri
Linda Valeri is a scholar working on Statistics and Probability, Health, Toxicology and Mutagenesis and Applied Psychology, having authored 114 papers that have together received 6.2k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (16 papers), Heavy Metal Exposure and Toxicity (11 papers) and Statistical Methods and Inference (10 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.8k citations), Environmental Chemistry (589 citations) and Pollution (543 citations). Linda Valeri has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Tyler J. VanderWeele, Brent A. Coull, Jennifer F. Bobb, Birgit Claus Henn, Maitreyi Mazumdar, David C. Christiani, Robert O. Wright, John J. Godleski, Andrea Bellavia and Quazi Quamruzzaman. Their work appears in journals such as Circulation, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.