Laura Pazzagli

790 citations
27 papers · 386 indexed · 1 hit paper · h-index 10
Topics
Advanced Causal Inference Techniques (6 papers)Pregnancy and Medication Impact (6 papers)Gestational Diabetes Research and Management (6 papers)
Partner nations
SwedenNorwayDenmark

In The Last Decade

Laura Pazzagli

26 papers receiving 384 citations

Hit Papers

Safety of GLP-1 Receptor Agonists and Other Second-Line A...20232026202420252023204060

Peers

Laura Pazzagli
Comparison fields: 5 of 80
  • Obstetrics and Gynecology 102
  • Endocrinology, Diabetes and Metabolism 83
  • Public Health, Environmental and Occupational Health 69
  • Surgery 65
  • Pediatrics, Perinatology and Child Health 60
Replace Chandrasekar Gopalakrishnan with:
Chandrasekar Gopalakrishnan United States
Wendy Camelo Castillo United States
Buthaina Ibrahim Italy
Sara Z. Dejene United States
Meytal Avgil Tsadok Israel
Alejandro Velasco United States
Chike C. Nwabuo United States
Han Eol Jeong South Korea
A. D. Morris United Kingdom
Marianne Xhignesse Canada
Laura Pazzagli relative to Chandrasekar Gopalakrishnan United States Chandrasekar Gopalakrishnan's profile →
Citations per field
00.5×3.0×
Chandrasekar Gopalakrishnan · 1×
Citations per year

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).

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.

Co-authorship network of co-authors of Laura Pazzagli

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Pazzagli. A scholar is included among the top collaborators of Laura Pazzagli 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 Laura Pazzagli. Laura Pazzagli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 0
4 1
5 3
6 15
7 11
8 6
9 8
10
Safety of GLP-1 Receptor Agonists and Other Second-Line Antidiabetics in Early Pregnancybreakdown →
68
11 13
12 3
13 23
14 1
15 2
16 1
17 3
18 4
19 16
20 4

About Laura Pazzagli

Laura Pazzagli is a scholar working on Family Practice, Statistics and Probability and Obstetrics and Gynecology, having authored 27 papers that have together received 386 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (6 papers), Pregnancy and Medication Impact (6 papers) and Gestational Diabetes Research and Management (6 papers). The work is most often cited by research in Obstetrics and Gynecology (102 citations), Family Practice (27 citations) and Endocrinology, Diabetes and Metabolism (83 citations). Laura Pazzagli has collaborated with scholars based in Sweden, Norway and Denmark. Frequent co-authors include Marie Linder, Morten Andersen, Carolyn E. Cesta, Shahram Bahmanyar, David T. Myers, Paul Stang, Kari Furu, Helga Zoëga, Jacqueline M. Cohen and Maarit K. Leinonen. Their work appears in journals such as Nature Communications, PLoS ONE and Diabetes Care.

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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