Lauren Provini

15 total papers · 1.3k total citations
9 papers, 844 citations indexed

About

Lauren Provini is a scholar working on Endocrine and Autonomic Systems, Surgery and Dermatology. According to data from OpenAlex, Lauren Provini has authored 9 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrine and Autonomic Systems, 2 papers in Surgery and 2 papers in Dermatology. Recurrent topics in Lauren Provini's work include Neuroscience of respiration and sleep (3 papers), Breastfeeding Practices and Influences (2 papers) and Infant Health and Development (2 papers). Lauren Provini is often cited by papers focused on Neuroscience of respiration and sleep (3 papers), Breastfeeding Practices and Influences (2 papers) and Infant Health and Development (2 papers). Lauren Provini collaborates with scholars based in United States, Switzerland and Argentina. Lauren Provini's co-authors include Elena L. Grigorenko, Mark Gerstein, Michael Wilson, Gianfilippo Coppola, Anna Szekely, James R. Howe, Jessica Mariani, Flora M. Vaccarino, Mariangela Amenduni and Dean Palejev and has published in prestigious journals such as Cell, The Journal of Pediatrics and Journal of Obstetric, Gynecologic & Neonatal Nursing.

In The Last Decade

Lauren Provini

9 papers receiving 830 citations

Hit Papers

FOXG1-Dependent Dysregula... 2015 2026 2018 2022 2015 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lauren Provini 608 184 179 155 153 9 844
Galina Schmunk 474 0.8× 168 0.9× 83 0.5× 101 0.7× 153 1.0× 11 721
Aaron Gordon 559 0.9× 120 0.7× 166 0.9× 163 1.1× 134 0.9× 8 774
Kun‐Yong Kim 809 1.3× 244 1.3× 178 1.0× 144 0.9× 135 0.9× 20 1.0k
Jonas Simon Fleck 704 1.2× 101 0.5× 121 0.7× 138 0.9× 83 0.5× 11 872
Stefano L. Giandomenico 685 1.1× 79 0.4× 257 1.4× 207 1.3× 89 0.6× 9 952
Elisabeth M. Walczak 610 1.0× 100 0.5× 260 1.5× 138 0.9× 69 0.5× 8 897
Madeline G. Andrews 612 1.0× 125 0.7× 184 1.0× 222 1.4× 57 0.4× 18 947
Patricia Guijarro 572 0.9× 100 0.5× 69 0.4× 192 1.2× 83 0.5× 10 855
Tak Ko 643 1.1× 98 0.5× 219 1.2× 190 1.2× 40 0.3× 12 998
Arianna Mei 507 0.8× 122 0.7× 104 0.6× 118 0.8× 54 0.4× 14 763

Countries citing papers authored by Lauren Provini

Since Specialization
Citations

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

Fields of papers citing papers by Lauren Provini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lauren Provini

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

All Works

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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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