Nanette Mittereder
- Molecular Biology top 10%
- Genetics top 5%
- Immunology top 5%
- Oncology top 10%
- Cancer Research
- Co-authors
- Keith L. MarchB.C. TrapnellElise BrownellS YeiGene LiauChantal S. ColmontNicolas AncellinJoseph H. Su
- Topics
- Virus-based gene therapy research (4 papers)Cancer Research and Treatments (2 papers)Immune Response and Inflammation (2 papers)
- Cited by
- GeneticsImmunologyMolecular Biology
- Partner nations
- United StatesSlovakia
In The Last Decade
Nanette Mittereder
11 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Molecular Biology 905
- Genetics 669
- Immunology 437
- Oncology 323
- Cancer Research 150
Countries citing papers authored by Nanette Mittereder
This map shows the geographic impact of Nanette Mittereder'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 Nanette Mittereder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanette Mittereder more than expected).
Fields of papers citing papers by Nanette Mittereder
This network shows the impact of papers produced by Nanette Mittereder. 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 Nanette Mittereder. The network helps show where Nanette Mittereder may publish in the future.
Co-authorship network of co-authors of Nanette Mittereder
This figure shows the co-authorship network connecting the top 25 collaborators of Nanette Mittereder. A scholar is included among the top collaborators of Nanette Mittereder based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nanette Mittereder. Nanette Mittereder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 76 | |
| 2 | 79 | |
| 3 | 21 | |
| 4 | 22 | |
| 5 | 53 | |
| 6 | 249 | |
| 7 | Evaluation of the concentration and bioactivity of adenovirus vectors for gene therapybreakdown → | 726 |
| 8 | Transduction of normal and malignant oral epithelium by an adenovirus vector: the effect of dose and treatment time on transduction efficiency and tissue penetration. | 25 |
| 9 | Adenovirus-mediated gene transfer for cystic fibrosis: quantitative evaluation of repeated in vivo vector administration to the lung. | 151 |
| 10 | Pharmacokinetics of adenoviral-mediated gene delivery to vascular smooth muscle cells Implications for cardiovascular gene therapy | 1 |
| 11 | A human rel proto-oncogene cDNA containing an Alu fragment as a potential coding exon. | 161 |
About Nanette Mittereder
Nanette Mittereder is a scholar working on Biotechnology, Immunology and Genetics, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Cancer Research and Treatments (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Genetics (669 citations), Immunology (437 citations) and Molecular Biology (905 citations). Nanette Mittereder has collaborated with scholars based in United States and Slovakia. Frequent co-authors include Keith L. March, B.C. Trapnell, Elise Brownell, S Yei, Gene Liau, Chantal S. Colmont, Nicolas Ancellin, Joseph H. Su, Steingrimur Stefansson and Qin Li. Their work appears in journals such as Journal of Biological Chemistry, Immunity and The Journal of 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.