Eric A. Ariazi

2.9k citations
35 papers · 2.2k · h-index 25

Impact in

Papers in

    • Estrogen and related hormone effects 22
    • Retinoids in leukemia and cellular processes 5
    • Genomics and Chromatin Dynamics 2

Eric A. Ariazi

33 papers receiving 2.1k citations

Peers

Eric A. Ariazi
Comparison fields: 5 of 96
  • Genetics 1.2k
  • Cancer Research 374
  • Toxicology 77
  • Oncology 571
  • Molecular Biology 1.2k
Replace Miguel Saceda with:
Miguel Saceda Spain
Anne E. Lykkesfeldt Denmark
Alan E. Wakeling United Kingdom
Luigi Cicatiello Italy
Marilena Lanzino Italy
Jean Bowler United Kingdom
Jonna Frasor United States
Deborah A. Lannigan United States
Gabriela N. Lopez United States
Takuya Kitamoto Japan
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Citations per field
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Citations per year

Countries citing papers authored by Eric A. Ariazi

Since Specialization
Citations

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

Fields of papers citing papers by Eric A. Ariazi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric A. Ariazi. 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 Eric A. Ariazi. The network helps show where Eric A. Ariazi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Estrogen-related receptor alpha and estrogen-related receptor gamma associate with unfavorable and favorable biomarkers, respectively, in human breast cancer.
2002244
2 2006207
3 2010204
4 2008166
5 2006136
6 2011126
7 2009122
8 2006105
9 2002102
10
Increased mannose 6-phosphate/insulin-like growth factor II receptor and transforming growth factor beta 1 levels during monoterpene-induced regression of mammary tumors.
199395
11 200790
12
Activation of the transforming growth factor beta signaling pathway and induction of cytostasis and apoptosis in mammary carcinomas treated with the anticancer agent perillyl alcohol.
199984
13 200663
14 200752
15 199533
16 200433
17 200529
18 200329
19 201129
20 199629

About Eric A. Ariazi

Eric A. Ariazi is a scholar working on Genetics, Molecular Biology, Oncology, Cancer Research and Health, Toxicology and Mutagenesis, having authored 35 papers that have together received 2.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (22 papers), HER2/EGFR in Cancer Research (7 papers), Cytokine Signaling Pathways and Interactions (6 papers), Retinoids in leukemia and cellular processes (5 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Cancer Genomics and Diagnostics (3 papers), Breast Cancer Treatment Studies (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Genetics (1.2k citations), Cancer Research (374 citations), Toxicology (77 citations), Oncology (571 citations) and Molecular Biology (1.2k citations). Eric A. Ariazi has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include V. Craig Jordan, Janet E. Mertz, V. Craig Jordan, Gary M. Clark, Fernando Cordera, Jennifer L. Ariazi, Richard J. Kraus, M.N. Gould, Jochen Haag and Michael Slifker. Their work appears in journals such as Current Topics in Medicinal Chemistry, The Breast, Cancer Research, The Prostate and Molecular Cancer Research.

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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