Ying K. Tam

20.3k total citations · 15 hit papers
107 papers, 9.3k citations indexed

About

Ying K. Tam is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Ying K. Tam has authored 107 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 49 papers in Immunology and 23 papers in Infectious Diseases. Recurrent topics in Ying K. Tam's work include RNA Interference and Gene Delivery (53 papers), Immunotherapy and Immune Responses (31 papers) and Immune Cell Function and Interaction (18 papers). Ying K. Tam is often cited by papers focused on RNA Interference and Gene Delivery (53 papers), Immunotherapy and Immune Responses (31 papers) and Immune Cell Function and Interaction (18 papers). Ying K. Tam collaborates with scholars based in United States, Canada and Germany. Ying K. Tam's co-authors include Barbara L. Mui, Pieter R. Cullis, Michael J. Hope, Thomas D. Madden, Paulo J.C. Lin, Drew Weissman, Norbert Pardi, Sam Chen, Akin Akinc and Steven M. Ansell and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Ying K. Tam

104 papers receiving 9.1k citations

Hit Papers

The Onpattro story and the clinical transla... 2012 2026 2016 2021 2019 2012 2015 2012 2017 250 500 750 1000

Peers

Ying K. Tam
Barbara L. Mui United States
Norbert Pardi United States
Tal Zaks United States
Katalin Karikó United States
Michael A. Barry United States
Alan D. Frankel United States
Barbara L. Mui United States
Ying K. Tam
Citations per year, relative to Ying K. Tam Ying K. Tam (= 1×) peers Barbara L. Mui

Countries citing papers authored by Ying K. Tam

Since Specialization
Citations

This map shows the geographic impact of Ying K. Tam'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 Ying K. Tam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying K. Tam more than expected).

Fields of papers citing papers by Ying K. Tam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying K. Tam. 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 Ying K. Tam. The network helps show where Ying K. Tam may publish in the future.

Co-authorship network of co-authors of Ying K. Tam

This figure shows the co-authorship network connecting the top 25 collaborators of Ying K. Tam. A scholar is included among the top collaborators of Ying K. Tam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying K. Tam. Ying K. Tam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gordy, James T., Mohamad‐Gabriel Alameh, Elizabeth Glass, et al.. (2025). iDC-targeting PfCSP mRNA vaccine confers superior protection against Plasmodium compared to conventional mRNA. npj Vaccines. 10(1). 34–34. 1 indexed citations
2.
Phan, Anthony T., Mohamad‐Gabriel Alameh, Garima Dwivedi, et al.. (2025). An Il12 mRNA-LNP adjuvant enhances mRNA vaccine–induced CD8 T cell responses. Science Immunology. 10(108). eads1328–eads1328. 11 indexed citations
3.
Atochina‐Vasserman, Elena N., Lisa C. Lindesmith, Carmen Mirabelli, et al.. (2024). Bivalent norovirus mRNA vaccine elicits cellular and humoral responses protecting human enteroids from GII.4 infection. npj Vaccines. 9(1). 182–182. 4 indexed citations
4.
Wong, Teri Ann S., et al.. (2024). Impact of Metabolic States on SARS-CoV-2 Vaccine Responses in Mouse Models of Obesity and Diabetes. SHILAP Revista de lepidopterología. 5(1). 2–2. 1 indexed citations
5.
Breda, Laura, Tyler E. Papp, Enrico Radaelli, et al.. (2024). An erythroid-specific lentiviral vector improves anemia and iron metabolism in a new model of XLSA. Blood. 145(1). 98–113.
6.
Tilsed, Caitlin M., Tyler E. Papp, Kenji Kimura, et al.. (2024). IL7 increases targeted lipid nanoparticle–mediated mRNA expression in T cells in vitro and in vivo by enhancing T cell protein translation. Proceedings of the National Academy of Sciences. 121(13). e2319856121–e2319856121. 24 indexed citations
7.
Arora, Gunjan, Thomas Hart, Emily Bettini, et al.. (2023). Development of an mRNA-lipid nanoparticle vaccine against Lyme disease. Molecular Therapy. 31(9). 2702–2714. 46 indexed citations breakdown →
8.
Pajer, Krisztián, Annamária Marton, Drew Weissman, et al.. (2023). DELAYED INTRASPINAL DELIVERY OF MRNAS ENCODING A COMBINATION OF CYTOKINES AND GDNF PROMOTES MORPHOLOGICAL AND FUNCTIONAL RECOVERY FOLLOWING SPINAL CORD INJURY. IBRO Neuroscience Reports. 15. S177–S177. 1 indexed citations
9.
Schiepers, Ariën, Allison J. Greaney, Trinity Zang, et al.. (2023). Molecular fate-mapping of serum antibody responses to repeat immunization. Nature. 615(7952). 482–489. 72 indexed citations
10.
Pardi, Norbert, Juan Manuel Carreño, George O’Dell, et al.. (2022). Development of a pentavalent broadly protective nucleoside-modified mRNA vaccine against influenza B viruses. Nature Communications. 13(1). 4677–4677. 57 indexed citations
11.
Meel, Roy van der, Sam Chen, Josh Zaifman, et al.. (2021). Modular Lipid Nanoparticle Platform Technology for siRNA and Lipophilic Prodrug Delivery. Small. 17(37). e2103025–e2103025. 42 indexed citations
12.
Fornaguera, Cristina, Sejin Oh, Steven H.Y. Fan, et al.. (2021). Preclinical Assessment of a Gene-Editing Approach in a Mouse Model of Mitochondrial Neurogastrointestinal Encephalomyopathy. Human Gene Therapy. 32(19-20). 1210–1223. 13 indexed citations
13.
Parhiz, Hamideh, Vladimir V. Shuvaev, Norbert Pardi, et al.. (2018). PECAM-1 directed re-targeting of exogenous mRNA providing two orders of magnitude enhancement of vascular delivery and expression in lungs independent of apolipoprotein E-mediated uptake. Journal of Controlled Release. 291. 106–115. 154 indexed citations breakdown →
14.
Tam, Yuen Yi C., Sam Chen, Josh Zaifman, et al.. (2012). Small molecule ligands for enhanced intracellular delivery of lipid nanoparticle formulations of siRNA. Nanomedicine Nanotechnology Biology and Medicine. 9(5). 665–674. 36 indexed citations
15.
16.
Tam, Ying K., et al.. (2008). Lipid encapsulation promotes co-localization of methylated CpG ODN and TLR9 in late endosomes: A new model for the immunostimulatory activity of CpG DNA. Cancer Research. 68. 3802–3802. 2 indexed citations
17.
Raney, Sam G., Laura Sekirov, Ghania Chikh, et al.. (2008). The effect of circulation lifetime and drug-to-lipid ratio of intravenously administered lipid nanoparticles on the biodistribution and immunostimulatory activity of encapsulated CpG-ODN. Journal of drug targeting. 16(7-8). 564–577. 5 indexed citations
18.
Tam, Ying K.. (2003). Immunostimulatory Oligonucleotides: Ready for Immunotherapy Prime Time!. Journal of Hematotherapy & Stem Cell Research. 12(5). 467–471. 1 indexed citations
19.
Maki, Guitta, Hans-G. Klingemann, Jeffrey Martinson, & Ying K. Tam. (2001). Factors Regulating the Cytotoxic Activity of the Human Natural Killer Cell Line, NK-92. Journal of Hematotherapy & Stem Cell Research. 10(3). 369–383. 214 indexed citations
20.
Tam, Ying K., et al.. (1999). Immunotherapy of Malignant Melanoma in a SCID Mouse Model Using the Highly Cytotoxic Natural Killer Cell Line NK-92. Journal of Hematotherapy. 8(3). 281–290. 106 indexed citations

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.

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