Jeffrey A. Quinn
- Genetics top 0.5%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Oncology top 5%
- Reproductive Medicine top 2%
- Co-authors
- Edward J. FilardoA. Raymond FrackeltonKirby I. BlandC. T. GraeberShi‐Bin ChengPeter ThomasYefei PangJing Dong
- Topics
- Estrogen and related hormone effects (8 papers)Receptor Mechanisms and Signaling (6 papers)HER2/EGFR in Cancer Research (3 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Jeffrey A. Quinn
9 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Genetics 2.1k
- Molecular Biology 1.2k
- Endocrinology, Diabetes and Metabolism 670
- Oncology 517
- Reproductive Medicine 374
Countries citing papers authored by Jeffrey A. Quinn
This map shows the geographic impact of Jeffrey A. Quinn'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 Jeffrey A. Quinn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey A. Quinn more than expected).
Fields of papers citing papers by Jeffrey A. Quinn
This network shows the impact of papers produced by Jeffrey A. Quinn. 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 Jeffrey A. Quinn. The network helps show where Jeffrey A. Quinn may publish in the future.
Co-authorship network of co-authors of Jeffrey A. Quinn
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey A. Quinn. A scholar is included among the top collaborators of Jeffrey A. Quinn 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 Jeffrey A. Quinn. Jeffrey A. Quinn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 18 | |
| 3 | 104 | |
| 4 | 106 | |
| 5 | 66 | |
| 6 | 367 | |
| 7 | 314 | |
| 8 | Estrogen Action Via the G Protein-Coupled Receptor, GPR30: Stimulation of Adenylyl Cyclase and cAMP-Mediated Attenuation of the Epidermal Growth Factor Receptor-to-MAPK Signaling Axisbreakdown → | 717 |
| 9 | Estrogen-Induced Activation of Erk-1 and Erk-2 Requires the G Protein-Coupled Receptor Homolog, GPR30, and Occurs via Trans-Activation of the Epidermal Growth Factor Receptor through Release of HB-EGFbreakdown → | 1138 |
About Jeffrey A. Quinn
Jeffrey A. Quinn is a scholar working on Immunology and Allergy, Genetics and Oncology, having authored 9 papers that have together received 2.9k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (8 papers), Receptor Mechanisms and Signaling (6 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Genetics (2.1k citations), Reproductive Medicine (374 citations) and Endocrinology, Diabetes and Metabolism (670 citations). Jeffrey A. Quinn has collaborated with scholars based in United States and Canada. Frequent co-authors include Edward J. Filardo, A. Raymond Frackelton, Kirby I. Bland, C. T. Graeber, Shi‐Bin Cheng, Peter Thomas, Yefei Pang, Jing Dong, Sunil K. Shaw and Edmond Sabo. Their work appears in journals such as Journal of Biological Chemistry, Clinical Cancer Research and Endocrinology.
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.