Lucia Pasquini

137 total papers · 1.6k total citations
63 papers, 987 citations indexed

About

Lucia Pasquini is a scholar working on Pediatrics, Perinatology and Child Health, Epidemiology and Obstetrics and Gynecology. According to data from OpenAlex, Lucia Pasquini has authored 63 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Pediatrics, Perinatology and Child Health, 20 papers in Epidemiology and 16 papers in Obstetrics and Gynecology. Recurrent topics in Lucia Pasquini's work include Prenatal Screening and Diagnostics (23 papers), Assisted Reproductive Technology and Twin Pregnancy (16 papers) and Pregnancy and preeclampsia studies (16 papers). Lucia Pasquini is often cited by papers focused on Prenatal Screening and Diagnostics (23 papers), Assisted Reproductive Technology and Twin Pregnancy (16 papers) and Pregnancy and preeclampsia studies (16 papers). Lucia Pasquini collaborates with scholars based in Italy, United Kingdom and Netherlands. Lucia Pasquini's co-authors include Nicholas M. Fisk, O. Barigye, Lucy C. Chappell, R. Wimalasundera, Alberto Cazzola, Elena Kulinskaya, Sailesh Kumar, Cristián Belmar, Mariarosaria Di Tommaso and Helena M. Gardiner and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Lucia Pasquini

58 papers receiving 948 citations

Author Peers

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

Author						Papers	Cites
Lucia Pasquini	519	286	282	216	178	63	987
Piotr Węgrzyn	502 1.0×	78 0.3×	225 0.8×	220 1.0×	57 0.3×	87	865
Teresa Rodrigues	387 0.7×	244 0.9×	338 1.2×	160 0.7×	42 0.2×	70	1.2k
Andrea R. Spence	208 0.4×	394 1.4×	288 1.0×	242 1.1×	65 0.4×	67	1.1k
Mordechai Hallak	557 1.1×	153 0.5×	551 2.0×	138 0.6×	62 0.3×	68	1.2k
Annie Dude	362 0.7×	115 0.4×	274 1.0×	94 0.4×	34 0.2×	60	1.2k
AM Vintzileos	632 1.2×	213 0.7×	341 1.2×	155 0.7×	30 0.2×	43	960
Michal Lipschuetz	407 0.8×	195 0.7×	438 1.6×	424 2.0×	95 0.5×	81	1.1k
Seung Chik Jwa	610 1.2×	102 0.4×	307 1.1×	68 0.3×	73 0.4×	74	1.1k
Cüneyt Eftal Taner	301 0.6×	200 0.7×	338 1.2×	102 0.5×	37 0.2×	83	1.1k
Shanthi Sairam	897 1.7×	104 0.4×	313 1.1×	220 1.0×	56 0.3×	28	1.1k

Countries citing papers authored by Lucia Pasquini

Since Specialization

Citations

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

Fields of papers citing papers by Lucia Pasquini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucia Pasquini

This figure shows the co-authorship network connecting the top 25 collaborators of Lucia Pasquini. A scholar is included among the top collaborators of Lucia Pasquini 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 Lucia Pasquini. Lucia Pasquini 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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