Aric Huang
Impact in
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- Immunotherapy and Immune Responses
- Immune cells in cancer
- Immune Response and Inflammation
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- RNA Interference and Gene Delivery
- Metabolomics and Mass Spectrometry Studies
Papers in
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- RNA Interference and Gene Delivery 3
- Glycosylation and Glycoproteins Research 2
- Metabolomics and Mass Spectrometry Studies 2
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- Immunotherapy and Immune Responses 6
- Immune Response and Inflammation 3
- T-cell and B-cell Immunology 2
- Co-authors
- Geoff H. Werstuck (6 shared papers)Vi T. Dang (4 shared papers)Cory Berkland (9 shared papers)M. Laird Forrest (7 shared papers)Chad E. Groer (6 shared papers)Cameron S. McAlpine (3 shared papers)Yuanyuan Shi (1 shared paper)Sebastian G. Huayamares (3 shared papers)
- Journals
- Journal of Controlled Release (2 papers)Molecular Pharmaceutics (2 papers)Macromolecular Bioscience (1 paper)Cardiovascular & Haematological Disorders - Drug Targets (1 paper)Antibodies (1 paper)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Aric Huang
17 papers receiving 388 citations
Peers
Comparison fields: 5 of 70
- Immunology 137
- Molecular Biology 175
- Physiology 10
- Biomaterials 26
- Oncology 48
Countries citing papers authored by Aric Huang
This map shows the geographic impact of Aric Huang'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 Aric Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aric Huang more than expected).
Fields of papers citing papers by Aric Huang
This network shows the impact of papers produced by Aric Huang. 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 Aric Huang. The network helps show where Aric Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Aric Huang, 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 | 2019 | 72 | |
| 2 | 2016 | 62 | |
| 3 | 2020 | 58 | |
| 4 | 2017 | 34 | |
| 5 | 2015 | 29 | |
| 6 | 2018 | 27 | |
| 7 | 2020 | 23 | |
| 8 | 2018 | 22 | |
| 9 | 2018 | 18 | |
| 10 | 2019 | 13 | |
| 11 | 2020 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2023 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 |
About Aric Huang
Aric Huang is a scholar working on Molecular Biology, Immunology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 19 papers that have together received 391 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), RNA Interference and Gene Delivery (3 papers), Immune Response and Inflammation (3 papers), Glycosylation and Glycoproteins Research (2 papers), T-cell and B-cell Immunology (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Immunology (137 citations), Molecular Biology (175 citations), Physiology (10 citations), Biomaterials (26 citations) and Oncology (48 citations). Aric Huang has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Geoff H. Werstuck, Vi T. Dang, Cory Berkland, M. Laird Forrest, Chad E. Groer, Cameron S. McAlpine, Yuanyuan Shi, Sebastian G. Huayamares, Yuanyuan Shi and Shuang Cai. Their work appears in journals such as Journal of Controlled Release, Molecular Pharmaceutics, Macromolecular Bioscience, Cardiovascular & Haematological Disorders - Drug Targets and Antibodies.
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.