Ryan T. Dackor
- Molecular Biology
- Biochemistry top 2%
- Cellular and Molecular Neuroscience top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Physiology
- Co-authors
- Kathleen M. CaronOliver SmithiesDarryl C. ZeldinCarrie GibbonsKimberly L. Fritz-SixWilliam P. DunworthDao Wen WangChen Chen
- Topics
- Eicosanoids and Hypertension Pharmacology (7 papers)Receptor Mechanisms and Signaling (5 papers)Neuropeptides and Animal Physiology (5 papers)
- Journals
- Journal of Biological ChemistryMolecular and Cellular BiologyAmerican Journal of Respiratory and Critical Care Medicine
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Ryan T. Dackor
18 papers receiving 846 citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 297
- Biochemistry 280
- Cellular and Molecular Neuroscience 233
- Endocrinology, Diabetes and Metabolism 192
- Physiology 118
Countries citing papers authored by Ryan T. Dackor
This map shows the geographic impact of Ryan T. Dackor'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 Ryan T. Dackor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan T. Dackor more than expected).
Fields of papers citing papers by Ryan T. Dackor
This network shows the impact of papers produced by Ryan T. Dackor. 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 Ryan T. Dackor. The network helps show where Ryan T. Dackor may publish in the future.
Co-authorship network of co-authors of Ryan T. Dackor
This figure shows the co-authorship network connecting the top 25 collaborators of Ryan T. Dackor. A scholar is included among the top collaborators of Ryan T. Dackor 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 Ryan T. Dackor. Ryan T. Dackor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 30 | |
| 3 | 34 | |
| 4 | COX-2 Inhibits Th9 Differentiation During Allergic Lung Inflammation Via Downregulation of IL-17RB. | 1 |
| 5 | 54 | |
| 6 | 56 | |
| 7 | 54 | |
| 8 | 22 | |
| 9 | 76 | |
| 10 | 16 | |
| 11 | 86 | |
| 12 | 37 | |
| 13 | 29 | |
| 14 | 22 | |
| 15 | 91 | |
| 16 | 75 | |
| 17 | 107 | |
| 18 | 49 |
About Ryan T. Dackor
Ryan T. Dackor is a scholar working on Biochemistry, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 18 papers that have together received 861 indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (7 papers), Receptor Mechanisms and Signaling (5 papers) and Neuropeptides and Animal Physiology (5 papers). The work is most often cited by research in Biochemistry (280 citations), Cellular and Molecular Neuroscience (233 citations) and Endocrinology, Diabetes and Metabolism (192 citations). Ryan T. Dackor has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Kathleen M. Caron, Oliver Smithies, Darryl C. Zeldin, Carrie Gibbons, Kimberly L. Fritz-Six, William P. Dunworth, Dao Wen Wang, Chen Chen, Matthew L. Edin and Kenneth B. Tomer. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and American Journal of Respiratory and Critical Care Medicine.
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.