M. M. Gil
About
M. M. Gil is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Infectious Diseases.
According to data from OpenAlex, M. M. Gil has authored 80 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Pediatrics, Perinatology and Child Health, 37 papers in Obstetrics and Gynecology and 16 papers in Infectious Diseases. Recurrent topics in M. M. Gil's work include Prenatal Screening and Diagnostics (40 papers), Pregnancy and preeclampsia studies (18 papers) and Assisted Reproductive Technology and Twin Pregnancy (17 papers). M. M. Gil is often cited by papers focused on Prenatal Screening and Diagnostics (40 papers), Pregnancy and preeclampsia studies (18 papers) and Assisted Reproductive Technology and Twin Pregnancy (17 papers). M. M. Gil collaborates with scholars based in Spain, United Kingdom and Hong Kong. M. M. Gil's co-authors include K. H. Nicolaides, M.S. Quezada, Ranjit Akolekar, R. Revello, Liona C. Poon, Argyro Syngelaki, Nieves Plana, Belén Santacruz, Veronica Accurti and Zhihui Rong and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and American Journal of Obstetrics and Gynecology.
In The Last Decade
M. M. Gil
67 papers receiving 3.0k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| M. M. Gil Spain | 24 | 2.7k | 1.1k | 794 | 459 | 452 | 80 | 3.1k | ||
| Lisa Hui Australia | 27 | 1.6k 0.6× | 675 0.6× | 522 0.7× | 323 0.7× | 228 0.5× | 127 | 2.5k | ||
| Allan T. Bombard United States | 20 | 2.5k 0.9× | 1.0k 1.0× | 210 0.3× | 680 1.5× | 156 0.3× | 62 | 2.8k | ||
| Jiri Sonek United States | 29 | 1.7k 0.6× | 613 0.6× | 661 0.8× | 392 0.9× | 383 0.8× | 99 | 2.4k | ||
| Chanane Wanapirak Thailand | 22 | 1.3k 0.5× | 458 0.4× | 440 0.6× | 180 0.4× | 216 0.5× | 122 | 2.0k | ||
| Ron Maymon Israel | 22 | 1.5k 0.6× | 391 0.4× | 572 0.7× | 183 0.4× | 413 0.9× | 106 | 1.8k | ||
| James N. Macri United States | 25 | 2.0k 0.7× | 824 0.8× | 459 0.6× | 186 0.4× | 362 0.8× | 67 | 2.3k | ||
| Boaz Weisz Israel | 26 | 1.0k 0.4× | 246 0.2× | 453 0.6× | 174 0.4× | 379 0.8× | 108 | 1.9k | ||
| Adolfo Wenjaw Liao Brazil | 24 | 1.7k 0.6× | 556 0.5× | 709 0.9× | 111 0.2× | 605 1.3× | 84 | 2.2k | ||
| Nanette Okun Canada | 26 | 1.3k 0.5× | 228 0.2× | 901 1.1× | 185 0.4× | 641 1.4× | 100 | 2.2k | ||
| George Makrydimas Greece | 23 | 1.2k 0.5× | 291 0.3× | 557 0.7× | 190 0.4× | 525 1.2× | 82 | 2.2k |
Countries citing papers authored by M. M. Gil
Since
Specialization
Citations
This map shows the geographic impact of M. M. Gil'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 M. M. Gil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. M. Gil more than expected).
Fields of papers citing papers by M. M. Gil
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by M. M. Gil. 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 M. M. Gil. The network helps show where M. M. Gil may publish in the future.
Co-authorship network of co-authors of M. M. Gil
This figure shows the co-authorship network connecting the top 25 collaborators of M. M. Gil. A scholar is included among the top collaborators of M. M. Gil 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 M. M. Gil. M. M. Gil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Chaveeva, Petya, Ioannis Papastefanou, Themistoklis Dagklis, et al.. (2025). External validation and comparison of Fetal Medicine Foundation competing‐risks model for small‐for‐gestational‐age neonate in the first trimester: multicenter cohort study. Ultrasound in Obstetrics and Gynecology. 65(6). 729–737.
2.
Matallana, C. de Paco, Ángel M. Fidalgo, Jacques Jani, et al.. (2025). Biparietal diameter for first‐trimester pregnancy dating: multicenter cohort study. Ultrasound in Obstetrics and Gynecology. 65(5). 560–566.
3.
Chaveeva, Petya, Ander Díaz‐Navarro, Irene Fernández‐Buhigas, et al.. (2024). Continuous Risk Assessment of Late and Term Preeclampsia Throughout Pregnancy: A Retrospective Cohort Study. Medicina. 60(12). 1909–1909.
4.
Siargkas, Antonios, et al.. (2024). Risk Factors of Marginal Cord Insertion in Singleton Pregnancies: A Systematic Review and Meta-Analysis. Journal of Clinical Medicine. 13(23). 7438–7438.
5.
Siargkas, Antonios, et al.. (2024). Risk Factors of Velamentous Cord Insertion in Singleton Pregnancies—A Systematic Review and Meta-Analysis. Journal of Clinical Medicine. 13(18). 5551–5551.
6.
Matallana, C. de Paco, Manel Mendoza, R. Revello, et al.. (2024). Comparison of different methods of first‐trimester screening for preterm pre‐eclampsia: cohort study. Ultrasound in Obstetrics and Gynecology. 64(1). 57–64.
7.
Kwan, Angel Hoi Wan, M. M. Gil, Yvonne K. Kwok, et al.. (2024). Cell‐free DNA test for fetal chromosomal abnormalities in multiple pregnancies. Acta Obstetricia Et Gynecologica Scandinavica. 103(9). 1799–1807.
8.
Fernández‐Buhigas, Irene, et al.. (2024). Association between Perinatal Outcomes and Maternal Risk Factors: A Cohort Study. Medicina. 60(7). 1071–1071.
9.
Gil, M. M., R. Revello, B. Adiego, et al.. (2023). Validation of machine‐learning model for first‐trimester prediction of pre‐eclampsia using cohort from PREVAL study. Ultrasound in Obstetrics and Gynecology. 63(1). 68–74.
10.
Matallana, C. de Paco, R. Revello, B. Adiego, et al.. (2023). Performance of first‐trimester combined screening for preterm pre‐eclampsia: findings from cohort of 10 110 pregnancies in Spain. Ultrasound in Obstetrics and Gynecology. 62(4). 522–530.
11.
Gil, M. M., et al.. (2023). Intrapartum ultrasound in maternal lateral versus semi-recumbent posture. A repeated measures study. European Journal of Obstetrics & Gynecology and Reproductive Biology. 285. 46–49.
12.
Chaemsaithong, Piya, et al.. (2023). Accuracy of placental growth factor alone or in combination with soluble fms-like tyrosine kinase-1 or maternal factors in detecting preeclampsia in asymptomatic women in the second and third trimesters: a systematic review and meta-analysis. American Journal of Obstetrics and Gynecology. 229(3). 222–247.
13.
Volpe, N., Cihat Şen, Şifa Turan, et al.. (2022). First trimester examination of fetal anatomy: clinical practice guideline by the World Association of Perinatal Medicine (WAPM) and the Perinatal Medicine Foundation (PMF). Journal of Perinatal Medicine. 50(7). 863–877.
14.
Volpe, N., Cihat Şen, Şifa Turan, et al.. (2022). First trimester examination of fetal anatomy: clinical practice guideline by the World Association of Perinatal Medicine (WAPM) and the Perinatal Medicine Foundation (PMF). SHILAP Revista de lepidopterología. 30(2). 87–102.
15.
Gil, M. M., Argyro Syngelaki, S. Galeva, et al.. (2021). Cell‐free DNA testing of maternal blood in screening for trisomies in twin pregnancy: updated cohort study at 10–14 weeks and meta‐analysis. Ultrasound in Obstetrics and Gynecology. 58(2). 178–189.
16.
Gil, M. M., Francisca S. Molina, Juan Luis Delgado⋈, et al.. (2020). New approach for estimating risk of miscarriage after chorionic villus sampling. Ultrasound in Obstetrics and Gynecology. 56(5). 656–663.
17.
Gil, M. M., S. Galeva, Jacques Jani, et al.. (2019). Screening for trisomies by cfDNA testing of maternal blood in twin pregnancy: update of The Fetal Medicine Foundation results and meta‐analysis. Ultrasound in Obstetrics and Gynecology. 53(6). 734–742.
18.
Gil, M. M., S. Galeva, Jacques Jani, et al.. (2019). Screening for Trisomies by cfDNA Testing of Maternal Blood in Twin Pregnancy: Update of the Fetal Medicine Foundation Results and Meta-analysis. Obstetrical & Gynecological Survey. 74(11). 627–629.
19.
Bermejo, C., et al.. (2017). Classification of Uterine Anomalies by 3-Dimensional Ultrasonography Using ESHRE/ESGE Criteria: Interobserver Variability. Reproductive Sciences. 25(5). 740–747.
20.
Gil, M. M., et al.. (2014). Analysis of Cell-Free DNA in Maternal Blood in Screening for Aneuploidies: Meta-Analysis. Fetal Diagnosis and Therapy. 35(3). 156–173.
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.
Explore authors with similar magnitude of impact
Breakdown of academic impact, for papers by Lisa Hui Breakdown of academic impact, for papers by Allan T. Bombard Breakdown of academic impact, for papers by Jiri Sonek Breakdown of academic impact, for papers by Chanane Wanapirak Breakdown of academic impact, for papers by Ron Maymon Breakdown of academic impact, for papers by James N. Macri Breakdown of academic impact, for papers by Boaz Weisz Breakdown of academic impact, for papers by Adolfo Wenjaw Liao Breakdown of academic impact, for papers by Nanette Okun Breakdown of academic impact, for papers by George Makrydimas