Danielle Aw
- Aging top 5%
- Immunology top 5%
- T-cell and B-cell Immunology 7
- Immunotherapy and Immune Responses 2
- Immune Cell Function and Interaction 2
- Biological Psychiatry top 10%
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin 4
- Neurology top 10%
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- Single-cell and spatial transcriptomics 3
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- Diabetes and associated disorders 2
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- Neuropeptides and Animal Physiology 2
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- Hypothalamic control of reproductive hormones 1
- Co-authors
- Donald B. PalmerAlberto B. SilvaDaryl P. ShanleyNancy R. ManleyThomas von ZglinickiJohn TrowsdaleIan H. MatherDavid A. Rhodes
- Cited by
- AgingImmunologyBiological Psychiatry
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Danielle Aw
13 papers receiving 1.3k citations
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-authorship network
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 | 2016 | 43 | |
| 2 | 2013 | 33 | |
| 3 | 2011 | 20 | |
| 4 | The origin and implication of thymic involution. | 2011 | 47 |
| 5 | 2010 | 107 | |
| 6 | 2009 | 233 | |
| 7 | 2009 | 25 | |
| 8 | 2008 | 40 | |
| 9 | Immunosenescence: emerging challenges for an ageing populationbreakdown → | 2007 | 598 |
| 10 | 2007 | 4 | |
| 11 | 2007 | 111 | |
| 12 | 2006 | 30 | |
| 13 | 1985 | 4 |
About Danielle Aw
Danielle Aw is a scholar working on Endocrine and Autonomic Systems, Aging, Immunology, Immunology and Allergy and Reproductive Medicine, 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), 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 Hypothalamic control of reproductive hormones (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 Emma Tamsin Cadman. 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.