Dee Aud
Impact in
- Immunology top 5%
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Complement system in diseases
- Immunology and Allergy top 10%
Papers in
-
- Advanced biosensing and bioanalysis techniques 2
- RNA Interference and Gene Delivery 2
-
- Immune Cell Function and Interaction 4
- Immune Response and Inflammation 3
- Co-authors
- Gary Peltz (6 shared papers)Robyn M. Slattery (2 shared papers)Stacie A. Dalrymple (2 shared papers)Linda Lucian (2 shared papers)Richard M. Murray (2 shared papers)Andrew Grupe (4 shared papers)Tom McNeil (2 shared papers)Søren Germer (3 shared papers)
- Journals
- Infection and Immunity (2 papers)Blood (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Science (1 paper)Oncotarget (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Dee Aud
15 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 101
- Immunology 576
- Immunology and Allergy 65
- Genetics 273
- Physiology 210
- Oncology 193
Countries citing papers authored by Dee Aud
This map shows the geographic impact of Dee Aud'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 Dee Aud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dee Aud more than expected).
Fields of papers citing papers by Dee Aud
This network shows the impact of papers produced by Dee Aud. 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 Dee Aud. The network helps show where Dee Aud may publish in the future.
Co-authors
The 25 scholars most cited alongside Dee Aud, 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 | 2000 | 306 | |
| 2 | 1995 | 247 | |
| 3 | 1995 | 237 | |
| 4 | 2001 | 223 | |
| 5 | 1996 | 170 | |
| 6 | 2008 | 65 | |
| 7 | 2006 | 61 | |
| 8 | 2007 | 33 | |
| 9 | 2017 | 31 | |
| 10 | 2003 | 30 | |
| 11 | 2006 | 26 | |
| 12 | Grupe, A. et al. In silico mapping of complex disease-related traits in mice. Science 292, 1915-1918 | 2001 | 17 |
| 13 | 2014 | 4 | |
| 14 | 2014 | 2 | |
| 15 | 2012 | 1 |
About Dee Aud
Dee Aud is a scholar working on Molecular Biology, Immunology, Oncology, Physiology and Genetics, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Immune Response and Inflammation (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Asthma and respiratory diseases (2 papers), RNA Interference and Gene Delivery (2 papers), NF-κB Signaling Pathways (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Immunology (576 citations), Immunology and Allergy (65 citations), Genetics (273 citations), Physiology (210 citations) and Oncology (193 citations). Dee Aud has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Gary Peltz, Robyn M. Slattery, Stacie A. Dalrymple, Linda Lucian, Richard M. Murray, Andrew Grupe, Tom McNeil, Søren Germer, Jonathan Usuka and Russell Higuchi. Their work appears in journals such as Infection and Immunity, Blood, Journal of Pharmacology and Experimental Therapeutics, Science and Oncotarget.
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.