Alexandra Dace

728 citations
14 papers · 615 · h-index 8

Impact in

Papers in

Alexandra Dace

14 papers receiving 609 citations

Peers

Alexandra Dace
Comparison fields: 5 of 74
  • Endocrinology, Diabetes and Metabolism 286
  • Genetics 153
  • Molecular Biology 316
  • Pathology and Forensic Medicine 56
  • Endocrine and Autonomic Systems 21
Replace Eva-Maria D. Nielsen with:
Eva-Maria D. Nielsen Denmark
Eduardo Ortí United States
Jaime Steinsapir United States
J F Habener United States
Paola Mussi United States
S Ohtaki Japan
Fern E. Murdoch United States
Yvonne Munari‐Silem France
Claire Hughes United Kingdom
B. Van Heuverswyn Belgium
Alexandra Dace relative to Eva-Maria D. Nielsen Denmark Eva-Maria D. Nielsen's profile →
Citations per field
00.5×1.5×
Eva-Maria D. Nielsen · 1×
Citations per year

Countries citing papers authored by Alexandra Dace

Since Specialization
Citations

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

Fields of papers citing papers by Alexandra Dace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2000225
2 2000128
3 200587
4 199950
5 199741
6 199724
7 199620
8 199917
9 19995
10 20055
11 19954
12 19994
13 20063
14 20082

About Alexandra Dace

Alexandra Dace is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Oncology and Physiology, having authored 14 papers that have together received 615 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (7 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Retinoids in leukemia and cellular processes (5 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cancer-related Molecular Pathways (2 papers), Vitamin D Research Studies (2 papers), Estrogen and related hormone effects (2 papers) and Hypothalamic control of reproductive hormones (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (286 citations), Genetics (153 citations), Molecular Biology (316 citations), Pathology and Forensic Medicine (56 citations) and Endocrine and Autonomic Systems (21 citations). Alexandra Dace has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Sheue-yann Cheng, Kyong Soo Park, Janine Torrésani, Sheue-yann Cheng, Samuel Refetoff, Anthony Wynshaw‐Boris, Richard Planells, Masahiro Kaneshige, Mark C. Willingham and Carrolee Barlow. Their work appears in journals such as Endocrinology, FEBS Letters, Thyroid, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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