Linda Valeri

9.5k citations
114 papers · 6.2k indexed · 3 hit papers · h-index 31

Linda Valeri

109 papers receiving 6.1k citations

Hit Papers

Statistical software for analyzing the health effects...788201320262017202150010001.5k

Peers

Linda Valeri
Comparison fields: 5 of 181
  • Health, Toxicology and Mutagenesis 2.8k
  • Environmental Chemistry 589
  • Pollution 543
  • Nutrition and Dietetics 674
  • Statistics and Probability 345
Replace Bhramar Mukherjee with:
Bhramar Mukherjee United States
Esben Budtz–Jørgensen Denmark
Marie Lynn Miranda United States
Brisa N. Sánchez United States
Alexander P. Keil United States
Lifang Hou United States
Rémy Slama France
Miquel Porta Spain
Ulf Strömberg Sweden
Amy H. Herring United States
Linda Valeri relative to Bhramar Mukherjee United States Bhramar Mukherjee's profile →
Citations per field
00.5×1.5×
Bhramar Mukherjee · 1×
Citations per year

Countries citing papers authored by Linda Valeri

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Linda Valeri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Linda Valeri Line = papers co-authored together Linda Valeri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20243
4 20243
5 20240
6 20241
7 20241
8 20227
9 202185
10 20214
11 202028
12 20181
13 201838
14 201816
15 201740
16 20169
17 201530
18 201418
19
Mediation analysis allowing for exposure–mediator interactions and causal interpretation: Theoretical assumptions and implementation with SAS and SPSS macros.breakdown →
20131500
20 201217

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), Statistical Methods and Inference (10 papers), Mental Health Research Topics (9 papers), Statistical Methods and Bayesian Inference (9 papers), Air Quality and Health Impacts (8 papers), Health disparities and outcomes (8 papers) and Child and Adolescent Psychosocial and Emotional Development (7 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 American Journal of Epidemiology, Environmental Health, Schizophrenia Research, Environment International and Biological Psychiatry.

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.

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