Dan Wu
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
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- Traffic and Road Safety
Papers in
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- Metabolism, Diabetes, and Cancer 5
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- Adipose Tissue and Metabolism 4
- Co-authors
- Jean‐Louis Martin (5 shared papers)Megan K. Levings (7 shared papers)Arya Mani (1 shared paper)Shrikant Mane (2 shared papers)Richard P. Lifton (2 shared papers)Carol Nelson‐Williams (2 shared papers)Hossein Najmabadi (2 shared papers)He Wang (1 shared paper)
- Journals
- Traffic Injury Prevention (3 papers)Journal of Ethnopharmacology (3 papers)PLoS ONE (2 papers)Frontiers in Immunology (2 papers)Neuropharmacology (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Dan Wu
51 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 136
- Immunology 310
- Safety, Risk, Reliability and Quality 101
- Physiology 210
- Endocrine and Autonomic Systems 45
- Molecular Biology 468
Countries citing papers authored by Dan Wu
This map shows the geographic impact of Dan Wu'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 Dan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Wu more than expected).
Fields of papers citing papers by Dan Wu
This network shows the impact of papers produced by Dan Wu. 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 Dan Wu. The network helps show where Dan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 462 | |
| 2 | 2015 | 157 | |
| 3 | 2017 | 85 | |
| 4 | 2018 | 64 | |
| 5 | 2013 | 50 | |
| 6 | 2022 | 49 | |
| 7 | 2021 | 46 | |
| 8 | 2018 | 44 | |
| 9 | 2022 | 41 | |
| 10 | 2021 | 37 | |
| 11 | 2012 | 35 | |
| 12 | 2017 | 35 | |
| 13 | 2020 | 34 | |
| 14 | 2022 | 32 | |
| 15 | 2013 | 21 | |
| 16 | 2016 | 21 | |
| 17 | 2021 | 20 | |
| 18 | 2023 | 20 | |
| 19 | 2017 | 20 | |
| 20 | 2021 | 19 |
About Dan Wu
Dan Wu is a scholar working on Molecular Biology, Physiology, Immunology, Epidemiology and Plant Science, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Metabolism, Diabetes, and Cancer (5 papers), Adipose Tissue and Metabolism (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Traffic and Road Safety (4 papers), Traffic control and management (3 papers), Wound Healing and Treatments (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Immunology (310 citations), Safety, Risk, Reliability and Quality (101 citations), Physiology (210 citations), Endocrine and Autonomic Systems (45 citations) and Molecular Biology (468 citations). Dan Wu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Jean‐Louis Martin, Megan K. Levings, Arya Mani, Shrikant Mane, Richard P. Lifton, Carol Nelson‐Williams, Hossein Najmabadi, He Wang, Jonathan M. Han and Fang Hu. Their work appears in journals such as Traffic Injury Prevention, Journal of Ethnopharmacology, PLoS ONE, Frontiers in Immunology and Neuropharmacology.
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.