Vanessa Ott
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Allergic Rhinitis and Sensitization
- Immunology top 5%
- Mast cells and histamine
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Glycosylation and Glycoproteins Research 6
- Immunology 10
- Mast cells and histamine 5
- IL-33, ST2, and ILC Pathways 2
- Co-authors
- John C. Cambier (9 shared papers)Alan C. Rapraeger (3 shared papers)Bradley Jay Swanson (3 shared papers)John W. Kappler (1 shared paper)Philippa Marrack (1 shared paper)Christian Taube (3 shared papers)Erwin W. Gelfand (3 shared papers)Azzeddine Dakhama (3 shared papers)
- Journals
- Journal of Allergy and Clinical Immunology (3 papers)The Journal of Immunology (2 papers)Frontiers in Immunology (1 paper)Immunological Reviews (1 paper)Nature Immunology (1 paper)
- Partner nations
- United States
In The Last Decade
Vanessa Ott
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 78
- Immunology and Allergy 269
- Immunology 465
- Cell Biology 245
- Physiology 340
- Oncology 151
Countries citing papers authored by Vanessa Ott
This map shows the geographic impact of Vanessa Ott'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 Vanessa Ott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vanessa Ott more than expected).
Fields of papers citing papers by Vanessa Ott
This network shows the impact of papers produced by Vanessa Ott. 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 Vanessa Ott. The network helps show where Vanessa Ott may publish in the future.
Co-authors
The 25 scholars most cited alongside Vanessa Ott, 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 | 2003 | 239 | |
| 2 | 2004 | 152 | |
| 3 | 1998 | 99 | |
| 4 | Effects of p53 mutants on wild-type p53-mediated transactivation are cell type dependent. | 1995 | 94 |
| 5 | 2006 | 92 | |
| 6 | 1996 | 85 | |
| 7 | 2002 | 78 | |
| 8 | 2000 | 60 | |
| 9 | 2007 | 59 | |
| 10 | 1998 | 58 | |
| 11 | 2001 | 30 | |
| 12 | 2001 | 16 | |
| 13 | 2008 | 14 | |
| 14 | 2002 | 9 | |
| 15 | 2020 | 6 | |
| 16 | 2006 | 6 | |
| 17 | 2005 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2020 | 1 |
About Vanessa Ott
Vanessa Ott is a scholar working on Molecular Biology, Immunology, Immunology and Allergy, Physiology and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (6 papers), Mast cells and histamine (5 papers), Asthma and respiratory diseases (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Allergic Rhinitis and Sensitization (4 papers), Proteoglycans and glycosaminoglycans research (3 papers), Cell Adhesion Molecules Research (3 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Immunology and Allergy (269 citations), Immunology (465 citations), Cell Biology (245 citations), Physiology (340 citations) and Oncology (151 citations). Vanessa Ott has collaborated with scholars based in United States. Frequent co-authors include John C. Cambier, Alan C. Rapraeger, Bradley Jay Swanson, John W. Kappler, Philippa Marrack, Christian Taube, Erwin W. Gelfand, Azzeddine Dakhama, Nobuaki Miyahara and Katsuyuki Takeda. Their work appears in journals such as Journal of Allergy and Clinical Immunology, The Journal of Immunology, Frontiers in Immunology, Immunological Reviews and Nature Immunology.
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.