Catharine M. Bosio
- Molecular Biology top 2%
- Infectious Diseases top 0.5%
- Immunology top 2%
- Genetics top 2%
- Epidemiology top 5%
- Co-authors
- Karen L. ElkinsSteven DowSina BavariM. Javad AmanSiobhán C. CowleyAlan SchmaljohnDeborah D. CraneHerbert P. Schweizer
- Topics
- Bacillus and Francisella bacterial research (43 papers)SARS-CoV-2 and COVID-19 Research (25 papers)Viral Infections and Outbreaks Research (18 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Catharine M. Bosio
90 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 2.6k
- Infectious Diseases 2.2k
- Immunology 1.2k
- Genetics 1.1k
- Epidemiology 947
Countries citing papers authored by Catharine M. Bosio
This map shows the geographic impact of Catharine M. Bosio'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 Catharine M. Bosio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catharine M. Bosio more than expected).
Fields of papers citing papers by Catharine M. Bosio
This network shows the impact of papers produced by Catharine M. Bosio. 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 Catharine M. Bosio. The network helps show where Catharine M. Bosio may publish in the future.
Co-authorship network of co-authors of Catharine M. Bosio
This figure shows the co-authorship network connecting the top 25 collaborators of Catharine M. Bosio. A scholar is included among the top collaborators of Catharine M. Bosio 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 Catharine M. Bosio. Catharine M. Bosio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 20 | |
| 5 | 24 | |
| 6 | 3 | |
| 7 | 17 | |
| 8 | Microbiota triggers STING-type I IFN-dependent monocyte reprogramming of the tumor microenvironmentbreakdown → | 401 |
| 9 | 21 | |
| 10 | 3 | |
| 11 | 28 | |
| 12 | 19 | |
| 13 | 36 | |
| 14 | 61 | |
| 15 | 204 | |
| 16 | 32 | |
| 17 | 113 | |
| 18 | 229 | |
| 19 | 29 | |
| 20 | 122 |
About Catharine M. Bosio
Catharine M. Bosio is a scholar working on Infectious Diseases, Virology and Endocrinology, having authored 93 papers that have together received 5.2k indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (43 papers), SARS-CoV-2 and COVID-19 Research (25 papers) and Viral Infections and Outbreaks Research (18 papers). The work is most often cited by research in Infectious Diseases (2.2k citations), Virology (440 citations) and Endocrinology (286 citations). Catharine M. Bosio has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Karen L. Elkins, Steven Dow, Sina Bavari, M. Javad Aman, Siobhán C. Cowley, Alan Schmaljohn, Deborah D. Crane, Herbert P. Schweizer, Kyoung‐Hee Choi and Carolina López‐Cano. Their work appears in journals such as Cell, 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.