Rogelio Monfort-Ortíz

767 total citations
26 papers, 195 citations indexed

About

Rogelio Monfort-Ortíz is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Obstetrics and Gynecology. According to data from OpenAlex, Rogelio Monfort-Ortíz has authored 26 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 12 papers in Public Health, Environmental and Occupational Health and 11 papers in Obstetrics and Gynecology. Recurrent topics in Rogelio Monfort-Ortíz's work include Preterm Birth and Chorioamnionitis (13 papers), Neonatal and fetal brain pathology (7 papers) and Maternal and Perinatal Health Interventions (6 papers). Rogelio Monfort-Ortíz is often cited by papers focused on Preterm Birth and Chorioamnionitis (13 papers), Neonatal and fetal brain pathology (7 papers) and Maternal and Perinatal Health Interventions (6 papers). Rogelio Monfort-Ortíz collaborates with scholars based in Spain, China and United States. Rogelio Monfort-Ortíz's co-authors include Gema Prats-Boluda, Yiyao Ye-Lin, Javier Garcia‐Casado, Alfredo Perales, José Alberola-Rubio, Vicente Diago, Dongmei Hao, Tamara Garrido‐Gómez, Carlos Simón and Teresa Cordero and has published in prestigious journals such as Nature Medicine, Sensors and Fertility and Sterility.

In The Last Decade

Rogelio Monfort-Ortíz

23 papers receiving 191 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rogelio Monfort-Ortíz Spain 10 109 106 75 46 34 26 195
Jerome L. Yaklic United States 9 99 0.9× 19 0.2× 74 1.0× 95 2.1× 17 0.5× 26 214
Elisabeth Schreier-Lechner Austria 5 97 0.9× 51 0.5× 19 0.3× 252 5.5× 25 0.7× 7 354
Marie Anne Ledingham United Kingdom 4 47 0.4× 100 0.9× 68 0.9× 94 2.0× 35 1.0× 5 188
Meiling Hua United States 4 96 0.9× 21 0.2× 189 2.5× 56 1.2× 23 0.7× 7 229
F. Biquard France 8 86 0.8× 55 0.5× 35 0.5× 27 0.6× 23 0.7× 22 203
Efrat Esh‐Broder Israel 9 217 2.0× 34 0.3× 151 2.0× 162 3.5× 4 0.1× 13 341
Seiji Yoshimoto Japan 7 65 0.6× 52 0.5× 8 0.1× 17 0.4× 65 1.9× 39 144
Sweta Singh India 6 29 0.3× 11 0.1× 50 0.7× 42 0.9× 8 0.2× 45 169
Stephanie Winsor Canada 6 97 0.9× 101 1.0× 26 0.3× 55 1.2× 44 1.3× 12 200
Natassia Rodrigo Australia 5 31 0.3× 23 0.2× 61 0.8× 13 0.3× 6 0.2× 15 209

Countries citing papers authored by Rogelio Monfort-Ortíz

Since Specialization
Citations

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

Fields of papers citing papers by Rogelio Monfort-Ortíz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rogelio Monfort-Ortíz. 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 Rogelio Monfort-Ortíz. The network helps show where Rogelio Monfort-Ortíz may publish in the future.

Co-authorship network of co-authors of Rogelio Monfort-Ortíz

This figure shows the co-authorship network connecting the top 25 collaborators of Rogelio Monfort-Ortíz. A scholar is included among the top collaborators of Rogelio Monfort-Ortíz 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 Rogelio Monfort-Ortíz. Rogelio Monfort-Ortíz 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
1.
Cordero, Teresa, Rogelio Monfort-Ortíz, Alfredo Perales, et al.. (2025). Multi-omics-based mapping of decidualization resistance in patients with a history of severe preeclampsia. Nature Medicine. 31(2). 502–513. 7 indexed citations
2.
Cordero, Teresa, Rogelio Monfort-Ortíz, Alfredo Perales, et al.. (2024). MULTI-OMIC ANALYSIS OF ENDOMETRIAL DECIDUALIZATION RESISTANCE UNVEILS A MOSAIC EPITHELIAL-STROMAL SHIFT. Fertility and Sterility. 122(4). e371–e371. 1 indexed citations
3.
Yang, Y. C., Chris P. Bradley, Guangfei Li, et al.. (2024). A computationally efficient anisotropic electrophysiological multiscale uterus model: From cell to organ and myometrium to abdominal surface. Computer Methods and Programs in Biomedicine. 257. 108487–108487.
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Ye-Lin, Yiyao, Rogelio Monfort-Ortíz, Javier Garcia‐Casado, et al.. (2023). Comparison of the Electrophysiological Myoelectrical Activity Evolution in Induction of Labor with Pharmacological and Mechanical Methods. 66–73. 1 indexed citations
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Monfort-Ortíz, Rogelio, et al.. (2021). GESTACOVID project: psychological and perinatal effects in Spanish pregnant women subjected to confinement due to the COVID-19 pandemic. The Journal of Maternal-Fetal & Neonatal Medicine. 35(25). 5665–5671. 8 indexed citations
9.
Garrido‐Gómez, Tamara, Teresa Cordero, Alicia Amadoz, et al.. (2021). Disrupted PGR-B and ESR1 signaling underlies defective decidualization linked to severe preeclampsia. eLife. 10. 24 indexed citations
10.
Prats-Boluda, Gema, et al.. (2021). Optimized Feature Subset Selection Using Genetic Algorithm for Preterm Labor Prediction Based on Electrohysterography. Sensors. 21(10). 3350–3350. 14 indexed citations
11.
Prats-Boluda, Gema, Javier Garcia‐Casado, Rogelio Monfort-Ortíz, et al.. (2021). Optimization of Imminent Labor Prediction Systems in Women with Threatened Preterm Labor Based on Electrohysterography. Sensors. 21(7). 2496–2496. 8 indexed citations
12.
Ye-Lin, Yiyao, Javier Garcia‐Casado, Rogelio Monfort-Ortíz, et al.. (2021). Assessment of Dispersion and Bubble Entropy Measures for Enhancing Preterm Birth Prediction Based on Electrohysterographic Signals. Sensors. 21(18). 6071–6071. 18 indexed citations
13.
Prats-Boluda, Gema, Javier Garcia‐Casado, José Alberola-Rubio, et al.. (2020). Electrohysterogram for ANN-Based Prediction of Imminent Labor in Women with Threatened Preterm Labor Undergoing Tocolytic Therapy. Sensors. 20(9). 2681–2681. 17 indexed citations
14.
Ye-Lin, Yiyao, et al.. (2020). Robust Characterization of the Uterine Myoelectrical Activity in Different Obstetric Scenarios. Entropy. 22(7). 743–743. 19 indexed citations
15.
Prats-Boluda, Gema, et al.. (2020). A Comparative Study of Vaginal Labor and Caesarean Section Postpartum Uterine Myoelectrical Activity. Sensors. 20(11). 3023–3023. 13 indexed citations
16.
Monfort-Ortíz, Rogelio, et al.. (2020). Ovarian Stromal Hyperplasia: A Rare Cause of Postmenopausal Hyperandrogenism. Journal of Menopausal Medicine. 26(1). 39–39. 3 indexed citations
17.
Monfort-Ortíz, Rogelio, et al.. (2017). Unusual twin pregnancy: complete hydatidiform mole with coexistent normal fetus. Clinical and Experimental Obstetrics & Gynecology. 44(3). 492–493. 3 indexed citations
18.
Monfort-Ortíz, Rogelio, Yiyao Ye-Lin, Gema Prats-Boluda, et al.. (2017). Comparison of labour induction with misoprostol and dinoprostone and characterization of uterine response based on electrohysterogram. The Journal of Maternal-Fetal & Neonatal Medicine. 32(10). 1586–1594. 11 indexed citations
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Monfort-Ortíz, Rogelio, et al.. (2016). Histerectomía total laparoscópica en pacientes con endometriosis profunda. Revista chilena de obstetricia y ginecología. 81(4). 302–307. 1 indexed citations

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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