Thamara Viloria

469 citations
18 papers · 369 · h-index 8

Impact in

Papers in

Thamara Viloria

16 papers receiving 349 citations

Peers

Thamara Viloria
Comparison fields: 5 of 43
  • Reproductive Medicine 121
  • Pediatrics, Perinatology and Child Health 133
  • Public Health, Environmental and Occupational Health 186
  • Health Informatics 5
  • Gender Studies 20
Replace J.-M. Grillo with:
J.-M. Grillo France
Alessandra Parrella United States
Mohammed M. Laqqan Germany
Omar Sefrioui Morocco
Ashley W. Tiegs United States
S. Al‐Hasani Germany
Andrew Kan Australia
Szabolcs Mátyás Hungary
László Nánássy United States
Xia Xue China
Thamara Viloria relative to J.-M. Grillo France J.-M. Grillo's profile →
Citations per field
00.5×2.9×
J.-M. Grillo · 1×
Citations per year

Countries citing papers authored by Thamara Viloria

Since Specialization
Citations

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

Fields of papers citing papers by Thamara Viloria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thamara Viloria, 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 Thamara Viloria Line = papers co-authored together Thamara Viloria links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2007100
2 202067
3 201250
4 201338
5 200736
6 200931
7 200521
8 201113
9 20234
10 20182
11 20222
12 20231
13 20191
14 20251
15 20181
16 20191
17 20220
18 20230

About Thamara Viloria

Thamara Viloria is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Pediatrics, Perinatology and Child Health, Molecular Biology and Genetics, having authored 18 papers that have together received 369 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (9 papers), Sperm and Testicular Function (7 papers), Reproductive Health and Technologies (4 papers), Pluripotent Stem Cells Research (2 papers), Prenatal Screening and Diagnostics (2 papers), Assisted Reproductive Technology and Twin Pregnancy (2 papers), Cancer Genomics and Diagnostics (1 paper) and Genomic variations and chromosomal abnormalities (1 paper). The work is most often cited by research in Reproductive Medicine (121 citations), Pediatrics, Perinatology and Child Health (133 citations), Public Health, Environmental and Occupational Health (186 citations), Health Informatics (5 citations) and Gender Studies (20 citations). Thamara Viloria has collaborated with scholars based in Spain and Netherlands. Frequent co-authors include Marcos Meseguer, José Remohı́, António Pellicer, Nicolás Garrido, Pilar Gámiz, Emilia Mateu, Amparo Mercader, Lorena Rodrigo, J. Remohı́ and Lorena Bori. Their work appears in journals such as Fertility and Sterility, Human Reproduction, Prenatal Diagnosis and PubMed.

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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