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
-
- RNA Interference and Gene Delivery 2
- Advanced biosensing and bioanalysis techniques 2
-
- Immune Cell Function and Interaction 4
- Immune Response and Inflammation 3
- Co-authors
- Gary Peltz (6 shared papers)Richard M. Murray (2 shared papers)Robyn M. Slattery (2 shared papers)Linda Lucian (2 shared papers)Stacie A. Dalrymple (2 shared papers)Andrew Grupe (4 shared papers)Søren Germer (3 shared papers)Tom McNeil (2 shared papers)
- Journals
- Infection and Immunity (2 papers)Blood (2 papers)Immunity (1 paper)American Journal Of Pathology (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Dee Aud
15 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 102
- Immunology 566
- Immunology and Allergy 63
- Genetics 275
- Physiology 198
- Oncology 185
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 | 325 | |
| 2 | 1995 | 261 | |
| 3 | 1995 | 248 | |
| 4 | 2001 | 237 | |
| 5 | 1996 | 175 | |
| 6 | 2008 | 66 | |
| 7 | 2006 | 61 | |
| 8 | 2007 | 35 | |
| 9 | 2003 | 31 | |
| 10 | 2017 | 31 | |
| 11 | 2006 | 26 | |
| 12 | Grupe, A. et al. In silico mapping of complex disease-related traits in mice. Science 292, 1915-1918 | 2001 | 21 |
| 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), RNA Interference and Gene Delivery (2 papers), NF-κB Signaling Pathways (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Asthma and respiratory diseases (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Immunology (566 citations), Immunology and Allergy (63 citations), Genetics (275 citations), Physiology (198 citations) and Oncology (185 citations). Dee Aud has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Gary Peltz, Richard M. Murray, Robyn M. Slattery, Linda Lucian, Stacie A. Dalrymple, Andrew Grupe, Søren Germer, Tom McNeil, Russell Higuchi and Jonathan Usuka. Their work appears in journals such as Infection and Immunity, Blood, Immunity, American Journal Of Pathology and Journal of Pharmacology and Experimental Therapeutics.
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.