Casey P. Shannon
- Molecular Biology
- Infectious Diseases top 5%
- Cellular and Molecular Neuroscience top 10%
- Pathology and Forensic Medicine top 10%
- Neurology top 10%
- Co-authors
- Scott J. TebbuttAmrit SinghBenoît GautierKim‐Anh Lê CaoFlorian RohartMichaël VacherWolfram TetzlaffJoseph S. Sparling
- Topics
- Asthma and respiratory diseases (9 papers)Gene expression and cancer classification (6 papers)IL-33, ST2, and ILC Pathways (5 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
Casey P. Shannon
33 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 633
- Infectious Diseases 303
- Cellular and Molecular Neuroscience 183
- Pathology and Forensic Medicine 174
- Neurology 170
Countries citing papers authored by Casey P. Shannon
This map shows the geographic impact of Casey P. Shannon'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 Casey P. Shannon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey P. Shannon more than expected).
Fields of papers citing papers by Casey P. Shannon
This network shows the impact of papers produced by Casey P. Shannon. 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 Casey P. Shannon. The network helps show where Casey P. Shannon may publish in the future.
Co-authorship network of co-authors of Casey P. Shannon
This figure shows the co-authorship network connecting the top 25 collaborators of Casey P. Shannon. A scholar is included among the top collaborators of Casey P. Shannon 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 Casey P. Shannon. Casey P. Shannon 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 52 | |
| 8 | 9 | |
| 9 | 12 | |
| 10 | 10 | |
| 11 | 4 | |
| 12 | 274 | |
| 13 | DIABLO: an integrative approach for identifying key molecular drivers from multi-omics assaysbreakdown → | 557 |
| 14 | 29 | |
| 15 | 16 | |
| 16 | 1 | |
| 17 | 29 | |
| 18 | 12 | |
| 19 | 3 | |
| 20 | 61 |
About Casey P. Shannon
Casey P. Shannon is a scholar working on Transplantation, Immunology and Allergy and Physiology, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (9 papers), Gene expression and cancer classification (6 papers) and IL-33, ST2, and ILC Pathways (5 papers). The work is most often cited by research in Developmental Neuroscience (126 citations), Infectious Diseases (303 citations) and Neurology (170 citations). Casey P. Shannon has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Scott J. Tebbutt, Amrit Singh, Benoît Gautier, Kim‐Anh Lê Cao, Florian Rohart, Michaël Vacher, Wolfram Tetzlaff, Joseph S. Sparling, Jason R. Plemel and Virginia Chen. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Bioinformatics.
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.