Danielle Aw
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
Papers in
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- Circadian rhythm and melatonin 4
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- T-cell and B-cell Immunology 7
- Immunotherapy and Immune Responses 2
- Immune Cell Function and Interaction 2
- Co-authors
- Donald B. Palmer (12 shared papers)Alberto B. Silva (5 shared papers)Daryl P. Shanley (1 shared paper)Nancy Ruth Manley (1 shared paper)Thomas von Zglinicki (1 shared paper)John Trowsdale (1 shared paper)Ian H. Mather (1 shared paper)David A. Rhodes (1 shared paper)
- Journals
- Immunology (3 papers)Biogerontology (2 papers)Aging Cell (1 paper)Current Opinion in Immunology (1 paper)Annals of Applied Biology (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Danielle Aw
13 papers receiving 1.4k citations
Danielle Aw's Hit Papers
Peers
Comparison fields: 5 of 125
- Aging 70
- Immunology 498
- Biological Psychiatry 49
- Endocrine and Autonomic Systems 87
- Neurology 98
Countries citing papers authored by Danielle Aw
This map shows the geographic impact of Danielle Aw'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 Danielle Aw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Aw more than expected).
Fields of papers citing papers by Danielle Aw
This network shows the impact of papers produced by Danielle Aw. 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 Danielle Aw. The network helps show where Danielle Aw may publish in the future.
Co-authors
The 12 scholars most cited alongside Danielle Aw, 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 | Immunosenescence: emerging challenges for an ageing population Hit paper breakdown → | 2007 | 672 |
| 2 | 2009 | 254 | |
| 3 | 2007 | 118 | |
| 4 | 2010 | 107 | |
| 5 | The origin and implication of thymic involution. | 2011 | 51 |
| 6 | 2016 | 45 | |
| 7 | 2008 | 42 | |
| 8 | 2013 | 36 | |
| 9 | 2006 | 32 | |
| 10 | 2009 | 29 | |
| 11 | 2011 | 21 | |
| 12 | 2007 | 5 | |
| 13 | 1985 | 4 |
About Danielle Aw
Danielle Aw is a scholar working on Endocrine and Autonomic Systems, Immunology, Aging, Cellular and Molecular Neuroscience and Molecular Biology, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Circadian rhythm and melatonin (4 papers), Single-cell and spatial transcriptomics (3 papers), Diabetes and associated disorders (2 papers), Immunotherapy and Immune Responses (2 papers), Neuropeptides and Animal Physiology (2 papers), Immune Cell Function and Interaction (2 papers) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Aging (70 citations), Immunology (498 citations), Biological Psychiatry (49 citations), Endocrine and Autonomic Systems (87 citations) and Neurology (98 citations). Danielle Aw has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Donald B. Palmer, Alberto B. Silva, Daryl P. Shanley, Nancy Ruth Manley, Thomas von Zglinicki, John Trowsdale, Ian H. Mather, David A. Rhodes, Dong‐Ming Su and Rachel A. Lawrence. Their work appears in journals such as Immunology, Biogerontology, Aging Cell, Current Opinion in Immunology and Annals of Applied Biology.
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.