Avery D. Posey
- Oncology top 0.5%
- CAR-T cell therapy research 37
- Cancer Immunotherapy and Biomarkers 7
- Immunology top 2%
- Immunotherapy and Immune Responses 11
- Immune Cell Function and Interaction 8
- Genetics top 2%
- Virus-based gene therapy research 7
- Biomedical Engineering top 2%
- Nanowire Synthesis and Applications 9
- Molecular Biology top 5%
- Viral Infectious Diseases and Gene Expression in Insects 11
- Muscle Physiology and Disorders 5
- Co-authors
- Carl H. JuneSònia GuedanJohn SchollerShannon E. McGettiganOmkar U. KawalekarBrian KeithPrachi PatelHugo Calderón
- Cited by
- OncologyImmunologyGenetics
- Journals
- Journal for ImmunoTherapy of Cancer (4 papers)Blood (4 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesSpainDenmark
In The Last Decade
Avery D. Posey
46 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Oncology 3.0k
- Immunology 1.4k
- Genetics 868
- Biomedical Engineering 1.1k
- Molecular Biology 1.5k
Countries citing papers authored by Avery D. Posey
This map shows the geographic impact of Avery D. Posey'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 Avery D. Posey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avery D. Posey more than expected).
Fields of papers citing papers by Avery D. Posey
This network shows the impact of papers produced by Avery D. Posey. 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 Avery D. Posey. The network helps show where Avery D. Posey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Avery D. Posey, 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 | 1 | |
| 3 | 2025 | 0 | |
| 4 | Challenges and opportunities in cancer immunotherapy: a Society for Immunotherapy of Cancer (SITC) strategic visionbreakdown → | 2024 | 64 |
| 5 | 2023 | 27 | |
| 6 | 2023 | 90 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 21 | |
| 9 | 2021 | 73 | |
| 10 | 2021 | 9 | |
| 11 | 2020 | 126 | |
| 12 | 2020 | 3 | |
| 13 | 2019 | 24 | |
| 14 | 2019 | 25 | |
| 15 | 2018 | 204 | |
| 16 | 2015 | 233 | |
| 17 | 2014 | 36 | |
| 18 | 2011 | 52 | |
| 19 | 2010 | 47 | |
| 20 | 2008 | 87 |
About Avery D. Posey
Avery D. Posey is a scholar working on Oncology, Immunology, Molecular Biology, Biomedical Engineering and Genetics, having authored 48 papers that have together received 3.9k indexed citations. Recurring topics across this work include CAR-T cell therapy research (37 papers), Viral Infectious Diseases and Gene Expression in Insects (11 papers), Immunotherapy and Immune Responses (11 papers), Nanowire Synthesis and Applications (9 papers), Immune Cell Function and Interaction (8 papers), Virus-based gene therapy research (7 papers), Cancer Immunotherapy and Biomarkers (7 papers) and Muscle Physiology and Disorders (5 papers). The work is most often cited by research in Oncology (3.0k citations), Immunology (1.4k citations), Genetics (868 citations), Biomedical Engineering (1.1k citations) and Molecular Biology (1.5k citations). Avery D. Posey has collaborated with scholars based in United States, Spain and Denmark. Frequent co-authors include Carl H. June, Sònia Guedan, John Scholler, Shannon E. McGettigan, Omkar U. Kawalekar, Brian Keith, Prachi Patel, Hugo Calderón, Marcela V. Maus and Michael C. Milone. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Blood, Journal of Biological Chemistry, Cytotherapy and Cancer Immunology Research.
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.