Eric A. Ariazi
- Genetics top 1%
- Molecular Biology top 10%
- Oncology top 5%
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine
- Co-authors
- V. Craig JordanJanet E. MertzGary M. ClarkJennifer L. AriaziFernando CorderaRichard J. KrausM.N. GouldJochen Haag
- Topics
- Estrogen and related hormone effects (22 papers)HER2/EGFR in Cancer Research (7 papers)Cytokine Signaling Pathways and Interactions (6 papers)
- Cited by
- GeneticsCancer ResearchToxicology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- United StatesUnited KingdomNew Zealand
In The Last Decade
Eric A. Ariazi
33 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 96
- Genetics 1.2k
- Molecular Biology 1.2k
- Oncology 571
- Cancer Research 374
- Pulmonary and Respiratory Medicine 187
Countries citing papers authored by Eric A. Ariazi
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
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-authorship network of co-authors of Eric A. Ariazi
This figure shows the co-authorship network connecting the top 25 collaborators of Eric A. Ariazi. A scholar is included among the top collaborators of Eric A. Ariazi 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 Eric A. Ariazi. Eric A. Ariazi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 26 | |
| 3 | 25 | |
| 4 | 204 | |
| 5 | 122 | |
| 6 | 19 | |
| 7 | 52 | |
| 8 | 24 | |
| 9 | 16 | |
| 10 | 63 | |
| 11 | 136 | |
| 12 | 207 | |
| 13 | 26 | |
| 14 | 29 | |
| 15 | 33 | |
| 16 | 29 | |
| 17 | Estrogen-related receptor alpha and estrogen-related receptor gamma associate with unfavorable and favorable biomarkers, respectively, in human breast cancer. | 244 |
| 18 | 102 | |
| 19 | 6 | |
| 20 | 33 |
About Eric A. Ariazi
Eric A. Ariazi is a scholar working on Genetics, Oncology and Cancer Research, 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) and Cytokine Signaling Pathways and Interactions (6 papers). The work is most often cited by research in Genetics (1.2k citations), Cancer Research (374 citations) and Toxicology (77 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, Jennifer L. Ariazi, Fernando Cordera, Richard J. Kraus, M.N. Gould, Jochen Haag and Michael Slifker. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical 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.