Don Vu
Impact in
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Immunology top 5%
- Immune Response and Inflammation
- interferon and immune responses
Papers in
- Immunology 12
- interferon and immune responses 6
- Immune Response and Inflammation 6
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- NF-κB Signaling Pathways 11
- Co-authors
- Gourisankar Ghosh (12 shared papers)D. Huang (5 shared papers)Vivien Ya‐Fan Wang (3 shared papers)Michael Karin (1 shared paper)Yixue Cao (1 shared paper)Dennis C. Otero (1 shared paper)Anil G. Jegga (1 shared paper)Bruce J. Aronow (1 shared paper)
- Journals
- Transplant Immunology (3 papers)The EMBO Journal (2 papers)Human Immunology (2 papers)Journal of Molecular Biology (2 papers)Biochemistry (2 papers)
- Partner nations
- United StatesNetherlandsIndia
In The Last Decade
Don Vu
24 papers receiving 973 citations
Peers
Comparison fields: 5 of 90
- Cancer Research 472
- Immunology 435
- Transplantation 31
- Molecular Biology 519
- Oncology 180
Countries citing papers authored by Don Vu
This map shows the geographic impact of Don 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 Don Vu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Don Vu more than expected).
Fields of papers citing papers by Don Vu
This network shows the impact of papers produced by Don 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 Don Vu. The network helps show where Don Vu may publish in the future.
Co-authors
The 25 scholars most cited alongside Don 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 282 | |
| 2 | 2003 | 142 | |
| 3 | 2006 | 108 | |
| 4 | 2013 | 85 | |
| 5 | 2008 | 57 | |
| 6 | 2007 | 43 | |
| 7 | 2004 | 42 | |
| 8 | 2005 | 41 | |
| 9 | 2015 | 38 | |
| 10 | 2003 | 22 | |
| 11 | 2014 | 19 | |
| 12 | 1998 | 19 | |
| 13 | 2013 | 16 | |
| 14 | 2013 | 16 | |
| 15 | 2002 | 15 | |
| 16 | 2012 | 10 | |
| 17 | 2012 | 10 | |
| 18 | 1998 | 6 | |
| 19 | 2013 | 5 | |
| 20 | 2013 | 5 |
About Don Vu
Don Vu is a scholar working on Immunology, Cancer Research, Molecular Biology, Oncology and Transplantation, having authored 24 papers that have together received 988 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (11 papers), interferon and immune responses (6 papers), Immune Response and Inflammation (6 papers), Cytokine Signaling Pathways and Interactions (4 papers), Renal Transplantation Outcomes and Treatments (4 papers), Pharmacological Effects and Toxicity Studies (2 papers), Fungal and yeast genetics research (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Cancer Research (472 citations), Immunology (435 citations), Transplantation (31 citations), Molecular Biology (519 citations) and Oncology (180 citations). Don Vu has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Gourisankar Ghosh, D. Huang, Vivien Ya‐Fan Wang, Michael Karin, Yixue Cao, Dennis C. Otero, Anil G. Jegga, Bruce J. Aronow, Giuseppina Bonizzi and Robert C. Rickert. Their work appears in journals such as Transplant Immunology, The EMBO Journal, Human Immunology, Journal of Molecular Biology and Biochemistry.
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.