Laura Pazzagli

About

Laura Pazzagli is a scholar working on Public Health, Environmental and Occupational Health, Statistics and Probability and Obstetrics and Gynecology. According to data from OpenAlex, Laura Pazzagli has authored 27 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Public Health, Environmental and Occupational Health, 8 papers in Statistics and Probability and 7 papers in Obstetrics and Gynecology. Recurrent topics in Laura Pazzagli’s work include Gestational Diabetes Research and Management (6 papers), Pregnancy and Medication Impact (6 papers) and Advanced Causal Inference Techniques (6 papers). Laura Pazzagli is often cited by papers focused on Gestational Diabetes Research and Management (6 papers), Pregnancy and Medication Impact (6 papers) and Advanced Causal Inference Techniques (6 papers). Laura Pazzagli collaborates with scholars based in Sweden, Norway and Denmark. Laura Pazzagli's co-authors include Marie Linder, Morten Andersen, Shahram Bahmanyar, David T. Myers, Paul Stang, Carolyn E. Cesta, Helle Kieler, Jacqueline M. Cohen, Helga Zoëga and Maarit K. Leinonen and has published in prestigious journals such as Nature Communications, PLoS ONE and Diabetes Care.

In The Last Decade

Co-authorship network of co-authors of Laura Pazzagli i

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Fields of papers citing papers by Laura Pazzagli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laura Pazzagli

Since Specialization

Citations

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

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