Stephanie Dias

48 total papers · 993 total citations
36 papers, 604 citations indexed

About

Stephanie Dias is a scholar working on Obstetrics and Gynecology, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Stephanie Dias has authored 36 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Obstetrics and Gynecology, 10 papers in Molecular Biology and 9 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Stephanie Dias's work include Gestational Diabetes Research and Management (17 papers), Pregnancy and preeclampsia studies (12 papers) and Epigenetics and DNA Methylation (8 papers). Stephanie Dias is often cited by papers focused on Gestational Diabetes Research and Management (17 papers), Pregnancy and preeclampsia studies (12 papers) and Epigenetics and DNA Methylation (8 papers). Stephanie Dias collaborates with scholars based in South Africa, United States and Australia. Stephanie Dias's co-authors include Carmen Pheiffer, Sumaiya Adam, Paul Rheeder, Johan Louw, Rabia Johnson, Phiwayinkosi V. Dludla, Bongani B. Nkambule, Babalwa Jack, Tarryn Willmer and Christo J. F. Muller and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Stephanie Dias

33 papers receiving 595 citations

Hit Papers

A Systematic Review to Co... 2022 2026 2023 2024 2022 20 40 60

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stephanie Dias 313 170 148 88 71 36 604
Sumaiya Adam 459 1.5× 103 0.6× 212 1.4× 57 0.6× 112 1.6× 45 606
Wei Gu 117 0.4× 226 1.3× 124 0.8× 158 1.8× 65 0.9× 41 695
Luíza Oliveira Perucci 267 0.9× 148 0.9× 173 1.2× 43 0.5× 25 0.4× 34 631
Ming Zhang 336 1.1× 89 0.5× 107 0.7× 63 0.7× 40 0.6× 21 535
Yi Ye 138 0.4× 128 0.8× 118 0.8× 27 0.3× 116 1.6× 46 650
Rebecca C. Rancourt 176 0.6× 238 1.4× 260 1.8× 27 0.3× 37 0.5× 31 574
Marek Pietryga 346 1.1× 65 0.4× 294 2.0× 24 0.3× 97 1.4× 57 629
Yajuan Xu 160 0.5× 169 1.0× 110 0.7× 19 0.2× 88 1.2× 42 507
Zbigniew Celewicz 270 0.9× 177 1.0× 191 1.3× 15 0.2× 127 1.8× 39 648
Yong-Ping Lu 123 0.4× 131 0.8× 135 0.9× 20 0.2× 63 0.9× 35 512

Countries citing papers authored by Stephanie Dias

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Dias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephanie Dias

This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie Dias. A scholar is included among the top collaborators of Stephanie Dias 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 Stephanie Dias. Stephanie Dias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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