Sônia de Assis

39 papers receiving 850 citations

Peers

Sônia de Assis
Comparison fields: 5 of 89
  • Pediatrics, Perinatology and Child Health 288
  • Oncology 309
  • Health, Toxicology and Mutagenesis 152
  • Obstetrics and Gynecology 64
  • Cancer Research 116
Replace Linda Titus‐Ernstoff with:
Linda Titus‐Ernstoff United States
Bénazir Siddeek France
B.-T. Ji China
Varinderpal S. Dhillon Australia
Hyeran Jang United States
Brooke Nakamura United States
Neville N.C. Tam United States
Winifred P.S. Wong United States
L Winkler Germany
Rita S. Strakovsky United States
Sônia de Assis relative to Linda Titus‐Ernstoff United States Linda Titus‐Ernstoff's profile →
Citations per field
00.5×3.6×
Linda Titus‐Ernstoff · 1×
Citations per year

Countries citing papers authored by Sônia de Assis

Since Specialization
Citations

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

Fields of papers citing papers by Sônia de Assis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sônia de Assis. 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 Sônia de Assis. The network helps show where Sônia de Assis may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201299
2 200692
3 200661
4 201357
5 200653
6 201048
7 200947
8 201837
9 200435
10 201431
11 201630
12 201728
13 201626
14 201625
15 200625
16 202223
17 201120
18 200617
19 202015
20 200012

About Sônia de Assis

Sônia de Assis is a scholar working on Oncology, Pediatrics, Perinatology and Child Health, Molecular Biology, Genetics and Health, Toxicology and Mutagenesis, having authored 39 papers that have together received 862 indexed citations. Recurring topics across this work include Cancer Risks and Factors (24 papers), Birth, Development, and Health (19 papers), Epigenetics and DNA Methylation (10 papers), Fatty Acid Research and Health (5 papers), Estrogen and related hormone effects (5 papers), Nutritional Studies and Diet (4 papers), Metabolism, Diabetes, and Cancer (3 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (288 citations), Oncology (309 citations), Health, Toxicology and Mutagenesis (152 citations), Obstetrics and Gynecology (64 citations) and Cancer Research (116 citations). Sônia de Assis has collaborated with scholars based in United States, Finland and Brazil. Frequent co-authors include Leena Hilakivi‐Clarke, Anni Wärri, M. Idalia Cruz, Leena Hilakivi‐Clarke, Galam Khan, Lü Jin, Heloiza Diniz Nicolella, Ye Tian, Thomas Prates Ong and Tim H.‐M. Huang. Their work appears in journals such as Cancer Research, Scientific Reports, Breast Cancer Research, Journal of Nutrition and Journal of Visualized Experiments.

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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