Kay Childs
- Immunology top 2%
- Epidemiology top 5%
- Infectious Diseases top 2%
- Molecular Biology
- Oncology
- Co-authors
- Stephen GoodbournRichard E. RandallJ. AndrejevaNicola StockD. F. YoungT. S. CarlosMichael A. SkinnerCraig S. Ross
- Topics
- interferon and immune responses (8 papers)Virology and Viral Diseases (5 papers)Viral Infections and Vectors (5 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchSHILAP Revista de lepidopterología
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Kay Childs
17 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Immunology 1.2k
- Epidemiology 737
- Infectious Diseases 642
- Molecular Biology 487
- Oncology 190
Countries citing papers authored by Kay Childs
This map shows the geographic impact of Kay Childs'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 Kay Childs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kay Childs more than expected).
Fields of papers citing papers by Kay Childs
This network shows the impact of papers produced by Kay Childs. 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 Kay Childs. The network helps show where Kay Childs may publish in the future.
Co-authorship network of co-authors of Kay Childs
This figure shows the co-authorship network connecting the top 25 collaborators of Kay Childs. A scholar is included among the top collaborators of Kay Childs 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 Kay Childs. Kay Childs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 16 | |
| 8 | 26 | |
| 9 | 77 | |
| 10 | 116 | |
| 11 | 100 | |
| 12 | 112 | |
| 13 | 25 | |
| 14 | 256 | |
| 15 | 99 | |
| 16 | The V proteins of paramyxoviruses bind the IFN-inducible RNA helicase, mda-5, and inhibit its activation of the IFN -β promoterbreakdown → | 825 |
| 17 | A novel subclass of thalidomide analogue with anti-solid tumor activity in which caspase-dependent apoptosis is associated with altered expression of bcl-2 family proteins. | 45 |
| 18 | 98 |
About Kay Childs
Kay Childs is a scholar working on Agronomy and Crop Science, Infectious Diseases and Immunology, having authored 18 papers that have together received 1.8k indexed citations. Recurring topics across this work include interferon and immune responses (8 papers), Virology and Viral Diseases (5 papers) and Viral Infections and Vectors (5 papers). The work is most often cited by research in Immunology (1.2k citations), Infectious Diseases (642 citations) and Epidemiology (737 citations). Kay Childs has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Stephen Goodbourn, Richard E. Randall, J. Andrejeva, Nicola Stock, D. F. Young, T. S. Carlos, Michael A. Skinner, Craig S. Ross, Louise Hilton and B. Precious. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.
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.