Daryll Vanover
- Molecular Biology top 5%
- RNA Interference and Gene Delivery 12
- CRISPR and Genetic Engineering 4
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology 4
- Immunology top 10%
- Immunotherapy and Immune Responses 4
- Genetics top 10%
- Virus-based gene therapy research 5
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- Respiratory viral infections research 6
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- Viral Infections and Immunology Research 5
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- HIV Research and Treatment 3
- Co-authors
- Philip J. SantangeloJames E. DahlmanChiara ZurlaJared BeyersdorfMelissa P. LokugamageJonathan L. KirschmanHannah E. PeckPooja Tiwari
- Journals
- Nature Communications (2 papers)Nature Biomedical Engineering (2 papers)PLoS Pathogens (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Daryll Vanover
27 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 1.4k
- Infectious Diseases 385
- Immunology 336
- Business and International Management 22
- Genetics 296
Countries citing papers authored by Daryll Vanover
This map shows the geographic impact of Daryll Vanover'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 Daryll Vanover with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daryll Vanover more than expected).
Fields of papers citing papers by Daryll Vanover
This network shows the impact of papers produced by Daryll Vanover. 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 Daryll Vanover. The network helps show where Daryll Vanover may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daryll Vanover, 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 | 2025 | 3 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 7 | |
| 5 | 2023 | 45 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 93 | |
| 8 | Optimization of lipid nanoparticles for the delivery of nebulized therapeutic mRNA to the lungsbreakdown → | 2021 | 357 |
| 9 | 2021 | 159 | |
| 10 | 2020 | 17 | |
| 11 | 2020 | 41 | |
| 12 | 2020 | 37 | |
| 13 | 2019 | 3 | |
| 14 | 2018 | 193 | |
| 15 | 2018 | 9 | |
| 16 | 2018 | 20 | |
| 17 | 2018 | 15 | |
| 18 | 2018 | 101 | |
| 19 | 2017 | 32 | |
| 20 | 2016 | 7 |
About Daryll Vanover
Daryll Vanover is a scholar working on Virology, Infectious Diseases, Immunology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (12 papers), Respiratory viral infections research (6 papers), Virus-based gene therapy research (5 papers), Viral Infections and Immunology Research (5 papers), Viral gastroenteritis research and epidemiology (4 papers), CRISPR and Genetic Engineering (4 papers), Immunotherapy and Immune Responses (4 papers) and HIV Research and Treatment (3 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Infectious Diseases (385 citations), Immunology (336 citations), Business and International Management (22 citations) and Genetics (296 citations). Daryll Vanover has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Philip J. Santangelo, James E. Dahlman, Chiara Zurla, Jared Beyersdorf, Melissa P. Lokugamage, Jonathan L. Kirschman, Hannah E. Peck, Pooja Tiwari, Kalina Paunovska and Sushma M. Bhosle. Their work appears in journals such as Nature Communications, Nature Biomedical Engineering, PLoS Pathogens, Journal of Virology and Molecular Therapy.
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.