Dene R. Littler
- Molecular Biology top 5%
- Ion channel regulation and function 7
- Glutathione Transferases and Polymorphisms 4
- Cell Biology top 5%
- Oceanography top 10%
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research 4
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- T-cell and B-cell Immunology 10
- Immune Cell Function and Interaction 8
- Immunotherapy and Immune Responses 4
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- Trace Elements in Health 5
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- Computational Drug Discovery Methods 4
- Co-authors
- Paul M. G. CurmiJamie RossjohnLouise J. BrownSamuel N. BreitMichele MazzantiBenjamin S. GullyAnastassis PerrakisS.J. Harrop
- 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
Dene R. Littler
49 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 1.3k
- Cell Biology 267
- Oceanography 113
- Infectious Diseases 172
- Immunology 186
Countries citing papers authored by Dene R. Littler
This map shows the geographic impact of Dene R. Littler'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 Dene R. Littler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dene R. Littler more than expected).
Fields of papers citing papers by Dene R. Littler
This network shows the impact of papers produced by Dene R. Littler. 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 Dene R. Littler. The network helps show where Dene R. Littler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dene R. Littler, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 15 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 37 | |
| 9 | 2019 | 15 | |
| 10 | 2018 | 26 | |
| 11 | 2014 | 3 | |
| 12 | 2014 | 14 | |
| 13 | 2011 | 23 | |
| 14 | 2011 | 87 | |
| 15 | 2010 | 118 | |
| 16 | 2009 | 27 | |
| 17 | 2009 | 56 | |
| 18 | 2008 | 51 | |
| 19 | 2007 | 64 | |
| 20 | 2002 | 67 |
About Dene R. Littler
Dene R. Littler is a scholar working on Immunology, Endocrinology and Aging, having authored 51 papers that have together received 1.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (8 papers), Ion channel regulation and function (7 papers), Trace Elements in Health (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Immunotherapy and Immune Responses (4 papers), Glutathione Transferases and Polymorphisms (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Cell Biology (267 citations) and Oceanography (113 citations). Dene R. Littler has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Paul M. G. Curmi, Jamie Rossjohn, Louise J. Brown, Samuel N. Breit, Michele Mazzanti, Benjamin S. Gully, Anastassis Perrakis, S.J. Harrop, Brian E. Lapointe and Mark M. Littler. 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.