Mario Vega

625 citations
23 papers · 331 indexed · h-index 10
Topics
Assisted Reproductive Technology and Twin Pregnancy (10 papers)Ovarian function and disorders (7 papers)Reproductive Biology and Fertility (6 papers)
Partner nations
United StatesEgyptPeru

In The Last Decade

Mario Vega

23 papers receiving 322 citations

Peers

Mario Vega
Comparison fields: 5 of 42
  • Public Health, Environmental and Occupational Health 157
  • Pediatrics, Perinatology and Child Health 154
  • Reproductive Medicine 152
  • Obstetrics and Gynecology 54
  • Surgery 38
Replace N. Aslam with:
N. Aslam United Kingdom
Çağrı Gülümser Türkiye
Yoni Cohen Israel
Rebecca J. Chason United States
Lisa Joels United Kingdom
Milan Reljič Slovenia
F. Lamazou France
Sung Shin Shim South Korea
Dan Levin Israel
S. Kelly Canada
Mario Vega relative to N. Aslam United Kingdom N. Aslam's profile →
Citations per field
00.5×4.7×
N. Aslam · 1×
Citations per year

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
#WorkIndexed citations
1 8
2 2
3 8
4 10
5 13
6 1
7 9
8 2
9 8
10 42
11 15
12 7
13 35
14 3
15 36
16 35
17 1
18 45
19 13
20 3

About Mario Vega

Mario Vega is a scholar working on Reproductive Medicine, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 23 papers that have together received 331 indexed citations. Recurring topics across this work include Assisted Reproductive Technology and Twin Pregnancy (10 papers), Ovarian function and disorders (7 papers) and Reproductive Biology and Fertility (6 papers). The work is most often cited by research in Reproductive Medicine (152 citations), Pediatrics, Perinatology and Child Health (154 citations) and Obstetrics and Gynecology (54 citations). Mario Vega has collaborated with scholars based in United States, Egypt and Peru. Frequent co-authors include Martin D. Keltz, Peter G. McGovern, Erin Moshier, Andrzej Bręborowicz, Daniel E. Stein, Prasoon Verma, Mamta Fuloria, Simon Lee, Şadıman Kıykaç Altınbaş and Sangita Jindal. Their work appears in journals such as Fertility and Sterility, Obstetrical & Gynecological Survey and Reproductive BioMedicine Online.

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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