Suzanne Butcher
Impact in
- Immunology top 10%
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune cells in cancer
- T-cell and B-cell Immunology
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Infectious Diseases top 10%
- Antifungal resistance and susceptibility
Papers in
-
- Immune Response and Inflammation 2
- Immunotherapy and Immune Responses 2
-
- Renal and related cancers 1
- Co-authors
- Christine A. Wells (7 shared papers)Ruaidhrı́ J. Carmody (1 shared paper)Christine O’Carroll (1 shared paper)Robert B. Ashman (2 shared papers)Anthony G Beckhouse (2 shared papers)Christian Cobbold (2 shared papers)Sally L. Orr (2 shared papers)Silvia Manzanero (2 shared papers)
- Journals
- The Journal of Immunology (2 papers)Journal of Leukocyte Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)PeerJ (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- AustraliaUnited StatesNetherlands
In The Last Decade
Suzanne Butcher
7 papers receiving 509 citations
Peers
Comparison fields: 5 of 70
- Immunology 288
- Infectious Diseases 167
- Epidemiology 163
- Microbiology 28
- Endocrinology 21
Countries citing papers authored by Suzanne Butcher
This map shows the geographic impact of Suzanne Butcher'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 Suzanne Butcher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne Butcher more than expected).
Fields of papers citing papers by Suzanne Butcher
This network shows the impact of papers produced by Suzanne Butcher. 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 Suzanne Butcher. The network helps show where Suzanne Butcher may publish in the future.
Co-authors
The 25 scholars most cited alongside Suzanne Butcher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 332 | |
| 2 | 2018 | 85 | |
| 3 | 2018 | 43 | |
| 4 | 2016 | 33 | |
| 5 | The Macrophage Inducible c-type lectin, Mincle, is an essential component of the innate-immune response to Candida albicans | 2008 | 16 |
| 6 | 2022 | 7 | |
| 7 | 2025 | 2 |
About Suzanne Butcher
Suzanne Butcher is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Oncology and Organic Chemistry, having authored 7 papers that have together received 518 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (2 papers), Immune Response and Inflammation (2 papers), Immunotherapy and Immune Responses (2 papers), Mesenchymal stem cell research (1 paper), Renal and related cancers (1 paper), Tissue Engineering and Regenerative Medicine (1 paper), Cancer Cells and Metastasis (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Immunology (288 citations), Infectious Diseases (167 citations), Epidemiology (163 citations), Microbiology (28 citations) and Endocrinology (21 citations). Suzanne Butcher has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Christine A. Wells, Ruaidhrı́ J. Carmody, Christine O’Carroll, Robert B. Ashman, Anthony G Beckhouse, Christian Cobbold, Sally L. Orr, Silvia Manzanero, Jennifer L. Stow and Bo Ma. Their work appears in journals such as The Journal of Immunology, Journal of Leukocyte Biology, Proceedings of the National Academy of Sciences, PeerJ and Frontiers in Immunology.
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.