Pasquale Florio

7.7k citations
206 papers · 6.2k · h-index 43

Impact in

Papers in

Pasquale Florio

202 papers receiving 5.9k citations

Peers

Pasquale Florio
Comparison fields: 5 of 114
  • Obstetrics and Gynecology 1.9k
  • Behavioral Neuroscience 862
  • Reproductive Medicine 883
  • Pediatrics, Perinatology and Child Health 1.4k
  • Immunology 767
Replace Fernando M. Reis with:
Fernando M. Reis Brazil
Sam Mesiano United States
Nadia Alfaidy France
Sophia Kalantaridou Greece
Anna Maria Di Blasio Italy
L. Wildt Germany
Marco Palumbo Italy
Victor K. M. Han Canada
Theresa M. Siler-Khodr United States
Mitsutoshi Iwashita Japan
Pasquale Florio relative to Fernando M. Reis Brazil Fernando M. Reis's profile →
Citations per field
00.5×2.8×
Fernando M. Reis · 1×
Citations per year

Countries citing papers authored by Pasquale Florio

Since Specialization
Citations

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

Fields of papers citing papers by Pasquale Florio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pasquale Florio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pasquale Florio Line = papers co-authored together Pasquale Florio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 206 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996287
2 2002199
3 2011158
4 1996133
5 2001117
6 2004106
7 200396
8 199894
9 201288
10 199978
11 199475
12 200173
13 200072
14 200571
15 200469
16 200569
17 199467
18 199666
19 199663
20 200963

About Pasquale Florio

Pasquale Florio is a scholar working on Obstetrics and Gynecology, Molecular Biology, Reproductive Medicine, Behavioral Neuroscience and Pediatrics, Perinatology and Child Health, having authored 206 papers that have together received 6.2k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (33 papers), Stress Responses and Cortisol (33 papers), Pregnancy and preeclampsia studies (32 papers), Endometriosis Research and Treatment (27 papers), Gynecological conditions and treatments (19 papers), Neonatal Respiratory Health Research (18 papers), Birth, Development, and Health (18 papers) and Reproductive System and Pregnancy (15 papers). The work is most often cited by research in Obstetrics and Gynecology (1.9k citations), Behavioral Neuroscience (862 citations), Reproductive Medicine (883 citations), Pediatrics, Perinatology and Child Health (1.4k citations) and Immunology (767 citations). Pasquale Florio has collaborated with scholars based in Italy, United States and Brazil. Frequent co-authors include Felice Petraglia, Stefano Luisi, Fernando M. Reis, Filiberto Maria Severi, Carmine Nappi, Caterina Bocchi, A. R. Genazzani, Diego Gazzolo, Michela Torricelli and Wylie Vale. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Fertility and Sterility, Placenta, European Journal of Endocrinology and Journal of Minimally Invasive Gynecology.

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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