Claire Carlin
- Infectious Diseases top 2%
- Molecular Biology
- Animal Science and Zoology top 5%
- Radiology, Nuclear Medicine and Imaging
- Immunology
- Co-authors
- Richard J. GuminaEugene M. OltzLinda J. SaifJohn P. EvansShan‐Lu LiuYi-Min ZhengPanke QuKai Xu
- Topics
- SARS-CoV-2 and COVID-19 Research (13 papers)Bacillus and Francisella bacterial research (6 papers)Animal Virus Infections Studies (6 papers)
- Partner nations
- United StatesAustralia
In The Last Decade
Claire Carlin
14 papers receiving 734 citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Infectious Diseases 701
- Molecular Biology 210
- Animal Science and Zoology 130
- Radiology, Nuclear Medicine and Imaging 60
- Immunology 59
Countries citing papers authored by Claire Carlin
This map shows the geographic impact of Claire Carlin'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 Claire Carlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claire Carlin more than expected).
Fields of papers citing papers by Claire Carlin
This network shows the impact of papers produced by Claire Carlin. 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 Claire Carlin. The network helps show where Claire Carlin may publish in the future.
Co-authorship network of co-authors of Claire Carlin
This figure shows the co-authorship network connecting the top 25 collaborators of Claire Carlin. A scholar is included among the top collaborators of Claire Carlin 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 Claire Carlin. Claire Carlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 23 | |
| 4 | Immune evasion, infectivity, and fusogenicity of SARS-CoV-2 BA.2.86 and FLip variantsbreakdown → | 71 |
| 5 | 35 | |
| 6 | 44 | |
| 7 | 15 | |
| 8 | Enhanced evasion of neutralizing antibody response by Omicron XBB.1.5, CH.1.1, and CA.3.1 variantsbreakdown → | 96 |
| 9 | 14 | |
| 10 | Enhanced neutralization resistance of SARS-CoV-2 Omicron subvariants BQ.1, BQ.1.1, BA.4.6, BF.7, and BA.2.75.2breakdown → | 158 |
| 11 | 59 | |
| 12 | 86 | |
| 13 | Neutralizing antibody responses elicited by SARS-CoV-2 mRNA vaccination wane over time and are boosted by breakthrough infectionbreakdown → | 133 |
| 14 | 1 |
About Claire Carlin
Claire Carlin is a scholar working on Infectious Diseases, Animal Science and Zoology and Modeling and Simulation, having authored 14 papers that have together received 743 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (13 papers), Bacillus and Francisella bacterial research (6 papers) and Animal Virus Infections Studies (6 papers). The work is most often cited by research in Infectious Diseases (701 citations), Animal Science and Zoology (130 citations) and Modeling and Simulation (54 citations). Claire Carlin has collaborated with scholars based in United States and Australia. Frequent co-authors include Richard J. Gumina, Eugene M. Oltz, Linda J. Saif, John P. Evans, Shan‐Lu Liu, Yi-Min Zheng, Panke Qu, Kai Xu, Julia N. Faraone and Gerard Lozanski. Their work appears in journals such as Cell, Journal of Virology and Science Translational 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.