Debra Van Egeren
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- Viral Infections and Outbreaks Research 2
-
- COVID-19 epidemiological studies 7
- Co-authors
- Darrell J. Irvine (3 shared papers)Gregory L. Szeto (3 shared papers)Clara Park (3 shared papers)Haipeng Liu (1 shared paper)Kelly D. Moynihan (1 shared paper)Yiran Zheng (1 shared paper)Bonnie Huang (1 shared paper)Arijit Chakravarty (9 shared papers)
- Journals
- Scientific Reports (2 papers)BMC Public Health (2 papers)PLoS ONE (2 papers)Frontiers in Public Health (1 paper)Vaccines (1 paper)
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Debra Van Egeren
12 papers receiving 951 citations
Debra Van Egeren's Hit Papers
Peers
Comparison fields: 5 of 81
- Immunology 538
- Oncology 252
- Biomaterials 101
- Molecular Biology 447
- Biomedical Engineering 265
Countries citing papers authored by Debra Van Egeren
This map shows the geographic impact of Debra Van Egeren'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 Debra Van Egeren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debra Van Egeren more than expected).
Fields of papers citing papers by Debra Van Egeren
This network shows the impact of papers produced by Debra Van Egeren. 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 Debra Van Egeren. The network helps show where Debra Van Egeren may publish in the future.
Co-authors
The 25 scholars most cited alongside Debra Van Egeren, 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 | Structure-based programming of lymph-node targeting in molecular vaccines Hit paper breakdown → | 2014 | 780 |
| 2 | 2015 | 79 | |
| 3 | 2021 | 47 | |
| 4 | 2021 | 13 | |
| 5 | 2023 | 11 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 8 | |
| 8 | 2021 | 6 | |
| 9 | 2018 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2015 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2024 | 0 | |
| 14 | 2024 | 0 |
About Debra Van Egeren
Debra Van Egeren is a scholar working on Infectious Diseases, Modeling and Simulation, Molecular Biology, Immunology and Oncology, having authored 14 papers that have together received 965 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Immunotherapy and Immune Responses (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), CAR-T cell therapy research (2 papers), Viral Infections and Outbreaks Research (2 papers), T-cell and B-cell Immunology (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Immunology (538 citations), Oncology (252 citations), Biomaterials (101 citations), Molecular Biology (447 citations) and Biomedical Engineering (265 citations). Debra Van Egeren has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Darrell J. Irvine, Gregory L. Szeto, Clara Park, Haipeng Liu, Kelly D. Moynihan, Yiran Zheng, Bonnie Huang, Arijit Chakravarty, Diane Joseph‐McCarthy and Michael S. Rogers. Their work appears in journals such as Scientific Reports, BMC Public Health, PLoS ONE, Frontiers in Public Health and Vaccines.
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.