Vivian Vu
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
- Epidemiology 12
- Adipokines, Inflammation, and Metabolic Diseases 11
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- Adipose Tissue and Metabolism 8
- Co-authors
- Gary Sweeney (14 shared papers)Ying Liu (4 shared papers)Dmitri Simberg (9 shared papers)Guankui Wang (6 shared papers)Robert I. Scheinman (6 shared papers)Ernest Groman (4 shared papers)Michael C. Riddell (2 shared papers)Aimin Xu (4 shared papers)
- Journals
- ACS Nano (2 papers)Biomaterials (2 papers)American Journal of Physiology-Endocrinology and Metabolism (2 papers)Mucosal Immunology (2 papers)Journal of Endocrinology (2 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Vivian Vu
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Immunology 308
- Biomaterials 176
- Physiology 318
- Endocrine and Autonomic Systems 69
- Epidemiology 345
Countries citing papers authored by Vivian Vu
This map shows the geographic impact of Vivian Vu'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 Vivian Vu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivian Vu more than expected).
Fields of papers citing papers by Vivian Vu
This network shows the impact of papers produced by Vivian Vu. 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 Vivian Vu. The network helps show where Vivian Vu may publish in the future.
Co-authors
The 25 scholars most cited alongside Vivian Vu, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 243 | |
| 2 | 2008 | 138 | |
| 3 | 2019 | 116 | |
| 4 | 2008 | 68 | |
| 5 | 2008 | 68 | |
| 6 | 2019 | 54 | |
| 7 | 2007 | 47 | |
| 8 | 2009 | 40 | |
| 9 | 2022 | 38 | |
| 10 | 2017 | 38 | |
| 11 | 2017 | 29 | |
| 12 | 2013 | 28 | |
| 13 | 2021 | 23 | |
| 14 | 2007 | 23 | |
| 15 | 2021 | 22 | |
| 16 | 2019 | 21 | |
| 17 | 2012 | 21 | |
| 18 | 2019 | 19 | |
| 19 | 2024 | 17 | |
| 20 | 2008 | 17 |
About Vivian Vu
Vivian Vu is a scholar working on Epidemiology, Physiology, Immunology, Molecular Biology and Surgery, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (11 papers), Adipose Tissue and Metabolism (8 papers), Immune Cell Function and Interaction (5 papers), IL-33, ST2, and ILC Pathways (4 papers), Complement system in diseases (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Exercise and Physiological Responses (3 papers) and Eosinophilic Esophagitis (3 papers). The work is most often cited by research in Immunology (308 citations), Biomaterials (176 citations), Physiology (318 citations), Endocrine and Autonomic Systems (69 citations) and Epidemiology (345 citations). Vivian Vu has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Gary Sweeney, Ying Liu, Dmitri Simberg, Guankui Wang, Robert I. Scheinman, Ernest Groman, Michael C. Riddell, Aimin Xu, S. Moein Moghimi and Laura Saba. Their work appears in journals such as ACS Nano, Biomaterials, American Journal of Physiology-Endocrinology and Metabolism, Mucosal Immunology and Journal of Endocrinology.
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.