Christine A. Wells
- Immunology top 1%
- Immune Response and Inflammation 16
- Immune cells in cancer 14
- Immune Cell Function and Interaction 11
- Immunotherapy and Immune Responses 6
- Molecular Biology top 2%
- Single-cell and spatial transcriptomics 10
- Gene expression and cancer classification 10
- Pluripotent Stem Cells Research 10
- Cancer Research top 5%
- Neurology top 5%
- Infectious Diseases top 5%
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- Cardiomyopathy and Myosin Studies 10
- Co-authors
- David HumeMelissa H. LittleTimothy RavasiClive R. BagshawS Roy HimesR. Tedjo SasmonoIan L. RossAnthony G Beckhouse
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Christine A. Wells
121 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 151
- Immunology 1.8k
- Molecular Biology 2.8k
- Cancer Research 422
- Neurology 224
- Infectious Diseases 436
Countries citing papers authored by Christine A. Wells
This map shows the geographic impact of Christine A. Wells'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 Christine A. Wells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine A. Wells more than expected).
Fields of papers citing papers by Christine A. Wells
This network shows the impact of papers produced by Christine A. Wells. 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 Christine A. Wells. The network helps show where Christine A. Wells may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christine A. Wells, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 9 | |
| 6 | 2019 | 10 | |
| 7 | 2017 | 94 | |
| 8 | 2016 | 39 | |
| 9 | 2014 | 49 | |
| 10 | 2012 | 35 | |
| 11 | The immune receptor Mincle mediates ischemic stroke-induced injury | 2012 | 3 |
| 12 | 2011 | 32 | |
| 13 | 2010 | 381 | |
| 14 | 2009 | 45 | |
| 15 | 2007 | 70 | |
| 16 | 2006 | 68 | |
| 17 | 2003 | 36 | |
| 18 | 2002 | 83 | |
| 19 | Generation of diversity in the innate immune system. Macrophage heterogeneity arises from gene-autonomous transcriptional probability of individual inducible genes. | 2001 | 20 |
| 20 | 1994 | 20 |
About Christine A. Wells
Christine A. Wells is a scholar working on Immunology, Cancer Research and Molecular Biology, having authored 126 papers that have together received 5.5k indexed citations. Recurring topics across this work include Immune Response and Inflammation (16 papers), Immune cells in cancer (14 papers), Immune Cell Function and Interaction (11 papers), Cardiomyopathy and Myosin Studies (10 papers), Single-cell and spatial transcriptomics (10 papers), Gene expression and cancer classification (10 papers), Pluripotent Stem Cells Research (10 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Immunology (1.8k citations), Molecular Biology (2.8k citations) and Cancer Research (422 citations). Christine A. Wells has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include David Hume, Melissa H. Little, Timothy Ravasi, Clive R. Bagshaw, S Roy Himes, R. Tedjo Sasmono, Ian L. Ross, Anthony G Beckhouse, Jessica C. Mar and Nicholas Matigian. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.