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
-
- T-cell and B-cell Immunology 7
- Immunotherapy and Immune Responses 2
- Immune Cell Function and Interaction 2
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- Single-cell and spatial transcriptomics 3
- Signaling Pathways in Disease 1
- Co-authors
- Donald B. Palmer (12 shared papers)Alberto B. Silva (5 shared papers)Daryl P. Shanley (1 shared paper)Nancy R. 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)The Journal of Immunology (1 paper)Current Opinion in Immunology (1 paper)Aging (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Danielle Aw
13 papers receiving 1.3k citations
Danielle Aw's Hit Papers
Peers
Comparison fields: 5 of 122
- Aging 67
- Immunology 500
- Biological Psychiatry 53
- Endocrine and Autonomic Systems 91
- Neurology 107
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 | 598 |
| 2 | 2009 | 233 | |
| 3 | 2007 | 111 | |
| 4 | 2010 | 107 | |
| 5 | The origin and implication of thymic involution. | 2011 | 47 |
| 6 | 2016 | 43 | |
| 7 | 2008 | 40 | |
| 8 | 2013 | 33 | |
| 9 | 2006 | 30 | |
| 10 | 2009 | 25 | |
| 11 | 2011 | 20 | |
| 12 | 2007 | 4 | |
| 13 | 1985 | 4 |
About Danielle Aw
Danielle Aw is a scholar working on Immunology, Molecular Biology, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Genetics, having authored 13 papers that have together received 1.3k 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), Neuropeptides and Animal Physiology (2 papers), Immunotherapy and Immune Responses (2 papers), Diabetes and associated disorders (2 papers), Immune Cell Function and Interaction (2 papers) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Aging (67 citations), Immunology (500 citations), Biological Psychiatry (53 citations), Endocrine and Autonomic Systems (91 citations) and Neurology (107 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 R. Manley, Thomas von Zglinicki, John Trowsdale, Ian H. Mather, David A. Rhodes, Dong‐Ming Su and R. A. Lawrence. Their work appears in journals such as Immunology, Biogerontology, The Journal of Immunology, Current Opinion in Immunology and Aging.
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.