Adrianne L. Jenner
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth 11
- COVID-19 epidemiological studies 3
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies 6
- Genetics top 10%
- Virus-based gene therapy research 15
- Evolution and Genetic Dynamics 3
-
- CAR-T cell therapy research 11
-
- Viral Infectious Diseases and Gene Expression in Insects 10
- Gene Regulatory Network Analysis 7
- Co-authors
- Peter KimMorgan CraigAdelle C.F. CosterFederico FrascoliChae‐Ok YunAaron GoldmanBumseok NamgungLuke P. Lee
- Journals
- Chemical Reviews (1 paper)SHILAP Revista de lepidopterología (5 papers)International Journal of Molecular Sciences (1 paper)
- Partner nations
- AustraliaCanadaUnited States
In The Last Decade
Adrianne L. Jenner
33 papers receiving 458 citations
Peers
Comparison fields: 5 of 84
- Modeling and Simulation 131
- Animal Science and Zoology 71
- Genetics 183
- Oncology 147
- Infectious Diseases 69
Countries citing papers authored by Adrianne L. Jenner
This map shows the geographic impact of Adrianne L. Jenner'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 Adrianne L. Jenner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrianne L. Jenner more than expected).
Fields of papers citing papers by Adrianne L. Jenner
This network shows the impact of papers produced by Adrianne L. Jenner. 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 Adrianne L. Jenner. The network helps show where Adrianne L. Jenner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Adrianne L. Jenner, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 7 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 8 | |
| 16 | 2021 | 7 | |
| 17 | 2021 | 50 | |
| 18 | 2020 | 12 | |
| 19 | 2020 | 22 | |
| 20 | 2018 | 10 |
About Adrianne L. Jenner
Adrianne L. Jenner is a scholar working on Modeling and Simulation, Genetics and Animal Science and Zoology, having authored 39 papers that have together received 462 indexed citations. Recurring topics across this work include Virus-based gene therapy research (15 papers), Mathematical Biology Tumor Growth (11 papers), CAR-T cell therapy research (11 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers), Gene Regulatory Network Analysis (7 papers), Animal Virus Infections Studies (6 papers), COVID-19 epidemiological studies (3 papers) and Evolution and Genetic Dynamics (3 papers). The work is most often cited by research in Modeling and Simulation (131 citations), Animal Science and Zoology (71 citations) and Genetics (183 citations). Adrianne L. Jenner has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Peter Kim, Morgan Craig, Adelle C.F. Coster, Federico Frascoli, Chae‐Ok Yun, Aaron Goldman, Bumseok Namgung, Luke P. Lee, Courtney L. Davis and Rosemary A. Aogo. Their work appears in journals such as Chemical Reviews, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.
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.