Shannon T. Bailey
- Molecular Biology top 2%
- Epidemiology top 0.5%
- Physiology top 0.5%
- Cancer Research top 1%
- Endocrine and Autonomic Systems top 0.5%
- Co-authors
- Mitchell A. LazarRonadip R. BanerjeeRexford S. AhimaChristopher M. WrightClaire M. SteppanElizabeth BrownMauricio J. ReginatoMyles Brown
- Topics
- Peroxisome Proliferator-Activated Receptors (5 papers)NF-κB Signaling Pathways (5 papers)HER2/EGFR in Cancer Research (4 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Shannon T. Bailey
20 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 3.1k
- Epidemiology 2.7k
- Physiology 2.2k
- Cancer Research 1.1k
- Endocrine and Autonomic Systems 1.0k
Countries citing papers authored by Shannon T. Bailey
This map shows the geographic impact of Shannon T. Bailey'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 Shannon T. Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shannon T. Bailey more than expected).
Fields of papers citing papers by Shannon T. Bailey
This network shows the impact of papers produced by Shannon T. Bailey. 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 Shannon T. Bailey. The network helps show where Shannon T. Bailey may publish in the future.
Co-authorship network of co-authors of Shannon T. Bailey
This figure shows the co-authorship network connecting the top 25 collaborators of Shannon T. Bailey. A scholar is included among the top collaborators of Shannon T. Bailey 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 Shannon T. Bailey. Shannon T. Bailey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 64 | |
| 6 | 71 | |
| 7 | 42 | |
| 8 | 11 | |
| 9 | 294 | |
| 10 | 47 | |
| 11 | 357 | |
| 12 | 124 | |
| 13 | 71 | |
| 14 | 39 | |
| 15 | TAK1, but not TAB1 or TAB2, plays an essential role in multiple signaling pathways in vivobreakdown → | 617 |
| 16 | The hormone resistin links obesity to diabetesbreakdown → | 3808 |
| 17 | A novel therapy for colitis utilizing PPAR-γ ligands to inhibit the epithelial inflammatory responsebreakdown → | 665 |
| 18 | 164 | |
| 19 | 241 | |
| 20 | 295 |
About Shannon T. Bailey
Shannon T. Bailey is a scholar working on Cancer Research, Oncology and Pharmacology, having authored 22 papers that have together received 7.1k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (5 papers), NF-κB Signaling Pathways (5 papers) and HER2/EGFR in Cancer Research (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.0k citations), Physiology (2.2k citations) and Epidemiology (2.7k citations). Shannon T. Bailey has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Mitchell A. Lazar, Ronadip R. Banerjee, Rexford S. Ahima, Christopher M. Wright, Claire M. Steppan, Elizabeth Brown, Mauricio J. Reginato, Myles Brown, Shamina M. Rangwala and Sankar Ghosh. Their work appears in journals such as Nature, 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.