Wilson S. Meng
- Immunology top 5%
- Immunotherapy and Immune Responses 30
- T-cell and B-cell Immunology 15
- Immune Cell Function and Interaction 9
- Biomaterials top 5%
- Supramolecular Self-Assembly in Materials 6
- Oncology top 10%
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 17
- vaccines and immunoinformatics approaches 6
- Pharmaceutical Science top 5%
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- Monoclonal and Polyclonal Antibodies Research 11
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- Antimicrobial Peptides and Activities 6
- Co-authors
- Yi WenLisa H. ButterfieldJames S. EconomouAntoni RibasWilliam H. McBrideNgoc B. PhamVivian B. DissetteJohn A. Glaspy
- Cited by
- ImmunologyBiomaterialsOncology
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Wilson S. Meng
61 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 104
- Immunology 822
- Biomaterials 334
- Oncology 401
- Molecular Biology 844
- Pharmaceutical Science 70
Countries citing papers authored by Wilson S. Meng
This map shows the geographic impact of Wilson S. Meng'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 Wilson S. Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wilson S. Meng more than expected).
Fields of papers citing papers by Wilson S. Meng
This network shows the impact of papers produced by Wilson S. Meng. 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 Wilson S. Meng. The network helps show where Wilson S. Meng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wilson S. Meng, 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 | 2023 | 3 | |
| 2 | 2022 | 6 | |
| 3 | 2021 | 3 | |
| 4 | 2021 | 22 | |
| 5 | 2019 | 18 | |
| 6 | 2018 | 31 | |
| 7 | 2016 | 9 | |
| 8 | 2015 | 57 | |
| 9 | 2013 | 89 | |
| 10 | 2013 | 23 | |
| 11 | 2007 | 9 | |
| 12 | 2006 | 9 | |
| 13 | 2005 | 12 | |
| 14 | Human glioma cell models resistant to alloreactive cytotoxic T lymphocytes | 2004 | 1 |
| 15 | 2004 | 99 | |
| 16 | 2004 | 26 | |
| 17 | 2002 | 7 | |
| 18 | alpha-Fetoprotein-specific tumor immunity induced by plasmid prime-adenovirus boost genetic vaccination. | 2001 | 88 |
| 19 | 2001 | 111 | |
| 20 | 2000 | 23 |
About Wilson S. Meng
Wilson S. Meng is a scholar working on Immunology, Microbiology and Pharmaceutical Science, having authored 61 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (30 papers), RNA Interference and Gene Delivery (17 papers), T-cell and B-cell Immunology (15 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Immune Cell Function and Interaction (9 papers), Antimicrobial Peptides and Activities (6 papers), vaccines and immunoinformatics approaches (6 papers) and Supramolecular Self-Assembly in Materials (6 papers). The work is most often cited by research in Immunology (822 citations), Biomaterials (334 citations) and Oncology (401 citations). Wilson S. Meng has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Yi Wen, Lisa H. Butterfield, James S. Economou, Antoni Ribas, William H. McBride, Ngoc B. Pham, Vivian B. Dissette, John A. Glaspy, Ellen S. Gawalt and Nick Giannoukakis. Their work appears in journals such as Biomaterials, Molecular Immunology, The Journal of Immunology, Acta Biomaterialia and Journal of Biomaterials Science Polymer Edition.
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.