Layla Parast

101 papers and 1.9k indexed citations i.

About

Layla Parast is a scholar working on General Health Professions, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Layla Parast has authored 101 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in General Health Professions, 28 papers in Statistics and Probability and 28 papers in Economics and Econometrics. Recurrent topics in Layla Parast’s work include Advanced Causal Inference Techniques (23 papers), Statistical Methods in Clinical Trials (18 papers) and Health Systems, Economic Evaluations, Quality of Life (15 papers). Layla Parast is often cited by papers focused on Advanced Causal Inference Techniques (23 papers), Statistical Methods in Clinical Trials (18 papers) and Health Systems, Economic Evaluations, Quality of Life (15 papers). Layla Parast collaborates with scholars based in United States, Australia and China. Layla Parast's co-authors include Tianxi Cai, Marc N. Elliott, Paul J. Sharek, J Sullivan, Lü Tian, Elizabeth J. D’Amico, Eric R. Pedersen, Kit Leong, Lorry R. Frankel and Stephen J. Roth and has published in prestigious journals such as JAMA, Journal of the American Statistical Association and Journal of the American College of Cardiology.

In The Last Decade

Co-authorship network of co-authors of Layla Parast i

Fields of papers citing papers by Layla Parast

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Layla Parast. 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 Layla Parast. The network helps show where Layla Parast may publish in the future.

Countries citing papers authored by Layla Parast

Since Specialization
Citations

This map shows the geographic impact of Layla Parast'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 Layla Parast with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Layla Parast more than expected).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025