Eileen M. McInerney
- Molecular Biology top 5%
- Genetics top 0.5%
- Oncology top 5%
- Cancer Research top 5%
- Immunology top 5%
- Co-authors
- Benita S. KatzenellenbogenMichael G. RosenfeldChristopher K. GlassDavid W. RoseRiki KurokawaTina-Marie MullenStefan WestinJoseph Torchia
- Topics
- Estrogen and related hormone effects (12 papers)Retinoids in leukemia and cellular processes (7 papers)Cytokine Signaling Pathways and Interactions (6 papers)
- Partner nations
- United StatesSweden
In The Last Decade
Eileen M. McInerney
13 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 2.2k
- Genetics 2.0k
- Oncology 739
- Cancer Research 487
- Immunology 447
Countries citing papers authored by Eileen M. McInerney
This map shows the geographic impact of Eileen M. McInerney'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 Eileen M. McInerney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eileen M. McInerney more than expected).
Fields of papers citing papers by Eileen M. McInerney
This network shows the impact of papers produced by Eileen M. McInerney. 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 Eileen M. McInerney. The network helps show where Eileen M. McInerney may publish in the future.
Co-authorship network of co-authors of Eileen M. McInerney
This figure shows the co-authorship network connecting the top 25 collaborators of Eileen M. McInerney. A scholar is included among the top collaborators of Eileen M. McInerney 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 Eileen M. McInerney. Eileen M. McInerney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Estrogen receptors: selective ligands, partners, and distinctive pharmacology. | 165 |
| 2 | 311 | |
| 3 | 379 | |
| 4 | 284 | |
| 5 | 229 | |
| 6 | 246 | |
| 7 | Determinants of coactivator LXXLL motif specificity in nuclear receptor transcriptional activationbreakdown → | 503 |
| 8 | Transcription Factor-Specific Requirements for Coactivators and Their Acetyltransferase Functionsbreakdown → | 546 |
| 9 | 156 | |
| 10 | 173 | |
| 11 | 213 | |
| 12 | 20 | |
| 13 | 173 |
About Eileen M. McInerney
Eileen M. McInerney is a scholar working on Genetics, Oncology and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 3.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (12 papers), Retinoids in leukemia and cellular processes (7 papers) and Cytokine Signaling Pathways and Interactions (6 papers). The work is most often cited by research in Genetics (2.0k citations), Cancer Research (487 citations) and Molecular Biology (2.2k citations). Eileen M. McInerney has collaborated with scholars based in United States and Sweden. Frequent co-authors include Benita S. Katzenellenbogen, Michael G. Rosenfeld, Christopher K. Glass, David W. Rose, Riki Kurokawa, Tina-Marie Mullen, Stefan Westin, Joseph Torchia, Edward Korzus and Lan Xu. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.