Mario Vega

625 total citations
23 papers, 331 citations indexed

About

Mario Vega is a scholar working on Reproductive Medicine, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mario Vega has authored 23 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Reproductive Medicine, 11 papers in Pediatrics, Perinatology and Child Health and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mario Vega's work include Assisted Reproductive Technology and Twin Pregnancy (10 papers), Ovarian function and disorders (7 papers) and Reproductive Biology and Fertility (6 papers). Mario Vega is often cited by papers focused on Assisted Reproductive Technology and Twin Pregnancy (10 papers), Ovarian function and disorders (7 papers) and Reproductive Biology and Fertility (6 papers). Mario Vega collaborates with scholars based in United States, Egypt and Peru. Mario Vega's co-authors include Martin D. Keltz, Peter G. McGovern, Erin Moshier, Andrzej Bręborowicz, Daniel E. Stein, Prasoon Verma, Mamta Fuloria, Simon Lee, Farr Nezhat and Şadıman Kıykaç Altınbaş and has published in prestigious journals such as Fertility and Sterility, Obstetrical & Gynecological Survey and Reproductive BioMedicine Online.

In The Last Decade

Mario Vega

23 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Vega United States 10 157 154 152 54 38 23 331
Rebecca J. Chason United States 11 137 0.9× 162 1.1× 147 1.0× 150 2.8× 43 1.1× 17 370
F. Lamazou France 11 145 0.9× 91 0.6× 140 0.9× 43 0.8× 14 0.4× 24 301
Nathan Lewit Israel 10 169 1.1× 105 0.7× 192 1.3× 48 0.9× 31 0.8× 14 313
Lisa Joels United Kingdom 11 128 0.8× 112 0.7× 207 1.4× 118 2.2× 49 1.3× 21 441
Yoni Cohen Israel 13 383 2.4× 206 1.3× 331 2.2× 81 1.5× 42 1.1× 48 568
I. Bekavac Croatia 9 100 0.6× 108 0.7× 183 1.2× 145 2.7× 58 1.5× 13 340
Mark Teoh Australia 12 52 0.3× 181 1.2× 40 0.3× 92 1.7× 50 1.3× 27 316
C. Colmant France 11 84 0.5× 241 1.6× 25 0.2× 111 2.1× 34 0.9× 25 327
Dan Levin Israel 12 214 1.4× 120 0.8× 190 1.3× 91 1.7× 89 2.3× 21 386
J.L. Viala France 12 215 1.4× 171 1.1× 201 1.3× 62 1.1× 56 1.5× 25 433

Countries citing papers authored by Mario Vega

Since Specialization
Citations

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

Fields of papers citing papers by Mario Vega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Vega

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Vega. A scholar is included among the top collaborators of Mario Vega 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 Mario Vega. Mario Vega 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.
Salama, Mahmoud, Lauren Ataman, Osama Azmy, et al.. (2020). Building Oncofertility Core Competency in Developing Countries: Experience From Egypt, Tunisia, Brazil, Peru, and Panama. JCO Global Oncology. 6(6). 360–368. 8 indexed citations
2.
Nezhat, Farr, et al.. (2019). Perioperative Outcomes in Robotic-Assisted Versus Conventional Laparoscopic Treatment of Endometrial Cancer. Journal of Gynecologic Surgery. 35(6). 350–355. 2 indexed citations
3.
Yu, Bo, et al.. (2018). Comparison of perinatal outcomes following frozen embryo transfer cycles using autologous versus donor oocytes in women 40 to 43 years old: analysis of SART CORS data. Journal of Assisted Reproduction and Genetics. 35(11). 2025–2029. 8 indexed citations
4.
Salama, Mahmoud, Lauren Ataman, Osama Azmy, et al.. (2018). Building Oncofertility Core Competency in Developing Countries: Experience From Egypt, Tunisia, Brazil, Peru, and Panama. Journal of Global Oncology. 4(4). 1–11. 13 indexed citations
5.
Yu, Bo, Rani Fritz, Xianhong Xie, et al.. (2018). The impact of using donor sperm in assisted reproductive technology cycles on perinatal outcomes. Fertility and Sterility. 110(7). 1285–1289. 10 indexed citations
6.
Fritz, Rani, Sangita Jindal, Bo Yu, Mario Vega, & Erkan Büyük. (2017). Does donor sperm affect birth weight (BW), preterm birth (PB), And miscarriage rates in fresh autologous in vitro fertilization (IVF) cycles? analysis of 46,061 cycles reported to SART. Fertility and Sterility. 107(3). e30–e30. 1 indexed citations
7.
Vega, Mario & Sangita Jindal. (2016). Mosaicism: throwing the baby out with the bath water?. Journal of Assisted Reproduction and Genetics. 34(1). 11–13. 2 indexed citations
8.
Vega, Mario, Norbert Gleicher, Sarah K. Darmon, et al.. (2016). IVF outcomes in average- and poor-prognosis infertile women according to the number of embryos transferred. Reproductive BioMedicine Online. 33(3). 370–375. 8 indexed citations
9.
Keltz, Martin D., et al.. (2015). Sonohysterographic Predictors of Successful Hysteroscopic Myomectomies. JSLS Journal of the Society of Laparoscopic & Robotic Surgeons. 19(1). e2014.00105–e2014.00105. 7 indexed citations
10.
Vega, Mario, et al.. (2015). In Vitro Maturation and Its Role in Clinical Assisted Reproductive Technology. Obstetrical & Gynecological Survey. 70(1). 45–57. 42 indexed citations
11.
Bruno, Christie J., Robert Angert, O M Rosen, et al.. (2015). Simulation as a tool for improving acquisition of neonatal resuscitation skills for obstetric residents. The Journal of Maternal-Fetal & Neonatal Medicine. 29(16). 1–5. 15 indexed citations
12.
Verma, Prasoon, et al.. (2015). Predictors of successful closure of patent ductus arteriosus with indomethacin. Journal of Perinatology. 35(9). 729–734. 35 indexed citations
13.
Vega, Mario, Shvetha M. Zarek, Medha Bhagwat, & James H. Segars. (2015). Gonadotropin surge‐inhibiting/attenuating factors: A review of current evidence, potential applications, and future directions for research. Molecular Reproduction and Development. 82(1). 2–16. 3 indexed citations
14.
Vega, Mario, et al.. (2015). Oocyte zona pellucida dysmorphology is associated with diminished in-vitro fertilization success. Journal of Ovarian Research. 8(1). 5–5. 33 indexed citations
15.
Vega, Mario, Andrzej Bręborowicz, Erin Moshier, Peter G. McGovern, & Martin D. Keltz. (2014). Blastulation rates decline in a linear fashion from euploid to aneuploid embryos with single versus multiple chromosomal errors. Fertility and Sterility. 102(2). 394–398. 36 indexed citations
16.
17.
Vega, Mario, et al.. (2013). Does PICSI offer an advantage over ICSI in art for patients with male factor. Fertility and Sterility. 100(3). S516–S516. 1 indexed citations
18.
19.
Soghier, Lamia, Mario Vega, M Koenigsberg, et al.. (2006). Diffuse basal ganglia or thalamus hyperechogenicity in preterm infants. Journal of Perinatology. 26(4). 230–236. 13 indexed citations
20.
Vega, Mario, et al.. (1996). GnRH agonist for postpartum contraception: Biochemical, hormonal and endometrial effects. Advances in Contraception. 12(1). 15–25. 3 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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