Thomas C. Chamberlain
Impact in
- Pharmacology top 10%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Adverse Reactions
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- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Circular RNAs in diseases 2
- Sphingolipid Metabolism and Signaling 1
- Extracellular vesicles in disease 1
- Oncology 2
- Chemokine receptors and signaling 1
- Co-authors
- Alice Mui (6 shared papers)Jonathan P. Little (1 shared paper)Hashim Islam (1 shared paper)Girish Chinnaswamy (1 shared paper)Julie Errington (1 shared paper)David Jamieson (1 shared paper)Christopher Hill (1 shared paper)Julieann Sludden (1 shared paper)
- Journals
- PLoS ONE (2 papers)iScience (1 paper)Prostate Cancer (1 paper)European Journal of Cancer (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
Thomas C. Chamberlain
7 papers receiving 298 citations
Peers
Comparison fields: 5 of 72
- Pharmacology 55
- Infectious Diseases 51
- Biological Psychiatry 6
- Neurology 30
- Immunology 44
Countries citing papers authored by Thomas C. Chamberlain
This map shows the geographic impact of Thomas C. Chamberlain'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 Thomas C. Chamberlain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas C. Chamberlain more than expected).
Fields of papers citing papers by Thomas C. Chamberlain
This network shows the impact of papers produced by Thomas C. Chamberlain. 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 Thomas C. Chamberlain. The network helps show where Thomas C. Chamberlain may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas C. Chamberlain, 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 | 2021 | 125 | |
| 2 | 2019 | 66 | |
| 3 | 2016 | 51 | |
| 4 | 2020 | 24 | |
| 5 | 2020 | 15 | |
| 6 | 2020 | 15 | |
| 7 | 2020 | 7 | |
| 8 | 2025 | 0 | |
| 9 | 2025 | 0 |
About Thomas C. Chamberlain
Thomas C. Chamberlain is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Infectious Diseases, having authored 9 papers that have together received 303 indexed citations. Recurring topics across this work include Circular RNAs in diseases (2 papers), MicroRNA in disease regulation (2 papers), Sphingolipid Metabolism and Signaling (1 paper), Extracellular vesicles in disease (1 paper), Immunotherapy and Immune Responses (1 paper), Animal Genetics and Reproduction (1 paper), Chemokine receptors and signaling (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). The work is most often cited by research in Pharmacology (55 citations), Infectious Diseases (51 citations), Biological Psychiatry (6 citations), Neurology (30 citations) and Immunology (44 citations). Thomas C. Chamberlain has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Alice Mui, Jonathan P. Little, Hashim Islam, Girish Chinnaswamy, Julie Errington, David Jamieson, Christopher Hill, Julieann Sludden, Gareth J. Veal and Michael Cole. Their work appears in journals such as PLoS ONE, iScience, Prostate Cancer, European Journal of Cancer 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.