Elena Daniela Aflorei

520 citations
5 papers · 185 indexed · h-index 3

Elena Daniela Aflorei

5 papers receiving 184 citations

Peers

Elena Daniela Aflorei
Comparison fields: 5 of 30
  • Endocrinology, Diabetes and Metabolism 152
  • Surgery 71
  • Genetics 70
  • Epidemiology 48
  • Molecular Biology 39
Replace Emilija Manojlović-Gačić with:
Emilija Manojlović-Gačić Serbia
Agata Bałdys‐Waligórska Poland
Aaron Chevalier United States
Craig E Stiles United Kingdom
Zhi Peng Su China
Daniel Cuevas-Ramos Mexico
Elina Heliövaara Finland
Marco Martari United States
Inga Balcere Latvia
Bénédicte Decoudier France
Elena Daniela Aflorei relative to Emilija Manojlović-Gačić Serbia Emilija Manojlović-Gačić's profile →
Citations per field
00.5×2.6×
Emilija Manojlović-Gačić · 1×
Citations per year

Countries citing papers authored by Elena Daniela Aflorei

Since Specialization
Citations

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

Fields of papers citing papers by Elena Daniela Aflorei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elena Daniela Aflorei. 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 Elena Daniela Aflorei. The network helps show where Elena Daniela Aflorei may publish in the future.

Co-authorship network of co-authors of Elena Daniela Aflorei

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 14
2 1
3 160
4 9
5
Development of novel AIP (Aryl hydrocarbon receptor-interacting protein) gene study models using the fruitfly and the zebrafish
1

About Elena Daniela Aflorei

Elena Daniela Aflorei is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology and Cancer Research, having authored 5 papers that have together received 185 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (3 papers), Pregnancy and preeclampsia studies (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (152 citations), Genetics (70 citations) and Cancer Research (26 citations). Elena Daniela Aflorei has collaborated with scholars based in United Kingdom, Bulgaria and Germany. Frequent co-authors include Márta Korbonits, Ralf Stanewsky, Ashley Grossman, Elaine A. Harper, Benjamin Klapholz, Serban Radian, Chenghao Chen, Ghassan Alusi, Simon Cudlip and Federico Roncaroli. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Medical Genetics and Journal of Neuro-Oncology.

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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