Daniel Wong
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Immunology top 5%
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- interferon and immune responses
Papers in
- Aging 5
- Genetics, Aging, and Longevity in Model Organisms 5
-
- Immune Cell Function and Interaction 4
- interferon and immune responses 3
- T-cell and B-cell Immunology 3
- Immune Response and Inflammation 2
- Co-authors
- Peter HumburgNathalie PujolJonathan J. EwbankJulian C. KnightVivek NaranbhaiSeiko MakinoBenjamin P. FairfaxEvelyn Lau
- Journals
- Genome biology (3 papers)Nature Communications (2 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)Journal of Bacteriology (1 paper)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Daniel Wong
20 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Aging 371
- Immunology 605
- Endocrine and Autonomic Systems 124
- Cancer Research 268
- Biological Psychiatry 36
Countries citing papers authored by Daniel Wong
This map shows the geographic impact of Daniel Wong'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 Daniel Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Wong more than expected).
Fields of papers citing papers by Daniel Wong
This network shows the impact of papers produced by Daniel Wong. 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 Daniel Wong. The network helps show where Daniel Wong may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Wong, 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 | 8 | |
| 2 | Mapping cellular diversity and lineage dynamics within the developing murine and human pancreas | 2019 | 1 |
| 3 | 2018 | 123 | |
| 4 | 2017 | 23 | |
| 5 | 2016 | 78 | |
| 6 | 2015 | 82 | |
| 7 | 2015 | 1 | |
| 8 | 2014 | 28 | |
| 9 | 2014 | 82 | |
| 10 | 2014 | 20 | |
| 11 | Innate Immune Activity Conditions the Effect of Regulatory Variants upon Monocyte Gene Expression Hit paper breakdown → | 2014 | 475 |
| 12 | 2014 | 1 | |
| 13 | 2014 | 2 | |
| 14 | 2011 | 123 | |
| 15 | 2011 | 172 | |
| 16 | 2011 | 52 | |
| 17 | 2009 | 62 | |
| 18 | 2008 | 196 | |
| 19 | 2007 | 166 | |
| 20 | 2005 | 30 |
About Daniel Wong
Daniel Wong is a scholar working on Aging, Immunology, Cancer Research, Cellular and Molecular Neuroscience and Microbiology, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Immune Cell Function and Interaction (4 papers), interferon and immune responses (3 papers), Neurobiology and Insect Physiology Research (3 papers), T-cell and B-cell Immunology (3 papers), Single-cell and spatial transcriptomics (2 papers), Physiological and biochemical adaptations (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Aging (371 citations), Immunology (605 citations), Endocrine and Autonomic Systems (124 citations), Cancer Research (268 citations) and Biological Psychiatry (36 citations). Daniel Wong has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Peter Humburg, Nathalie Pujol, Jonathan J. Ewbank, Julian C. Knight, Vivek Naranbhai, Seiko Makino, Benjamin P. Fairfax, Evelyn Lau, Katharine Plant and Luke Jostins. Their work appears in journals such as Genome biology, Nature Communications, PLoS ONE, Scientific Reports and Journal of Bacteriology.
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.