Samuel K. Lai

13.3k total citations · 6 hit papers
136 papers, 10.6k citations indexed

About

Samuel K. Lai is a scholar working on Molecular Biology, Pharmaceutical Science and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Samuel K. Lai has authored 136 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 34 papers in Pharmaceutical Science and 24 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Samuel K. Lai's work include Advanced Drug Delivery Systems (34 papers), Nanoparticle-Based Drug Delivery (23 papers) and RNA Interference and Gene Delivery (20 papers). Samuel K. Lai is often cited by papers focused on Advanced Drug Delivery Systems (34 papers), Nanoparticle-Based Drug Delivery (23 papers) and RNA Interference and Gene Delivery (20 papers). Samuel K. Lai collaborates with scholars based in United States, Canada and United Kingdom. Samuel K. Lai's co-authors include Justin Hanes, Yingying Wang, Richard A. Cone, Jung Soo Suk, Denis Wirtz, Qi Yang, Justin T. Huckaby, Kaoru Hida, Michael Boyle and Ming Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Samuel K. Lai

126 papers receiving 10.4k citations

Hit Papers

Mucus-penetrating nanoparticles for drug and gene deliver... 2007 2026 2013 2019 2008 2009 2007 2008 2015 400 800 1.2k

Peers

Samuel K. Lai
Laura M. Ensign United States
Gerrit Borchard Switzerland
Yu‐Kyoung Oh South Korea
Richard A. Cone United States
Justin Hanes United States
Hans P. Merkle Switzerland
Wim Jiskoot Netherlands
Laura M. Ensign United States
Samuel K. Lai
Citations per year, relative to Samuel K. Lai Samuel K. Lai (= 1×) peers Laura M. Ensign

Countries citing papers authored by Samuel K. Lai

Since Specialization
Citations

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

Fields of papers citing papers by Samuel K. Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel K. Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel K. Lai. A scholar is included among the top collaborators of Samuel K. Lai 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 Samuel K. Lai. Samuel K. Lai 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.
Shen, Limei, Alison Schaefer, Justin T. Huckaby, Whitney Wolf, & Samuel K. Lai. (2025). Bispecific Siglec-15/T cell antibody (STAB) activates T cells and suppresses pancreatic ductal adenocarcinoma and non-small cell lung tumors in vivo. Theranostics. 15(12). 5529–5542. 1 indexed citations
2.
Lai, Samuel K., et al.. (2025). A scoping review of Spanish language pediatric digital health interventions. Journal of Pediatric Psychology. 50(8). 734–753.
3.
Shen, Limei, et al.. (2024). Free PEG Suppresses Anaphylaxis to PEGylated Nanomedicine in Swine. ACS Nano. 18(12). 8733–8744. 14 indexed citations
5.
Yang, Qi, Justin T. Huckaby, Timothy M. Jacobs, et al.. (2024). Analysis of Pre-existing IgG and IgM Antibodies against Polyethylene Glycol (PEG) in the General Population. Figshare.
6.
Wessler, Timothy, Alex Chen, Richard C. Boucher, et al.. (2023). Modeling identifies variability in SARS-CoV-2 uptake and eclipse phase by infected cells as principal drivers of extreme variability in nasal viral load in the 48 h post infection. Journal of Theoretical Biology. 565. 111470–111470. 5 indexed citations
7.
Zierden, Hannah C., Kevin DeLong, Fareeha Zulfiqar, et al.. (2023). Cervicovaginal mucus barrier properties during pregnancy are impacted by the vaginal microbiome. Frontiers in Cellular and Infection Microbiology. 13. 1015625–1015625. 9 indexed citations
8.
Li, Zhongbo, Limei Shen, Alice Ma, et al.. (2023). Pegloticase co-administered with high MW polyethylene glycol effectively reduces PEG-immunogenicity and restores prolonged circulation in mouse. Acta Biomaterialia. 170. 250–259. 12 indexed citations
9.
Schaefer, Alison, Yong Zhu, Jamal I. Saada, et al.. (2021). Engineering sperm-binding IgG antibodies for the development of an effective nonhormonal female contraception. Science Translational Medicine. 13(606). 8 indexed citations
10.
Huckaby, Justin T., Timothy M. Jacobs, Zhongbo Li, et al.. (2020). Structure of an anti-PEG antibody reveals an open ring that captures highly flexible PEG polymers. Communications Chemistry. 3(1). 124–124. 56 indexed citations
11.
Huckaby, Justin T., Christina L. Parker, Timothy M. Jacobs, et al.. (2019). Engineering Polymer‐Binding Bispecific Antibodies for Enhanced Pretargeted Delivery of Nanoparticles to Mucus‐Covered Epithelium. Angewandte Chemie. 131(17). 5660–5664. 3 indexed citations
12.
Huckaby, Justin T., Christina L. Parker, Timothy M. Jacobs, et al.. (2019). Engineering Polymer‐Binding Bispecific Antibodies for Enhanced Pretargeted Delivery of Nanoparticles to Mucus‐Covered Epithelium. Angewandte Chemie International Edition. 58(17). 5604–5608. 16 indexed citations
13.
Xu, Feifei, Jay Newby, Holly A. Schroeder, et al.. (2019). Modeling Barrier Properties of Intestinal Mucus Reinforced with IgG and Secretory IgA against Motile Bacteria. ACS Infectious Diseases. 5(9). 1570–1580. 25 indexed citations
14.
Yang, Bing, Alison Schaefer, Yingying Wang, et al.. (2018). ZMapp Reinforces the Airway Mucosal Barrier Against Ebola Virus. The Journal of Infectious Diseases. 218(6). 901–910. 26 indexed citations
15.
McSweeney, Morgan D., Timothy Wessler, Lauren Price, et al.. (2018). A minimal physiologically based pharmacokinetic model that predicts anti-PEG IgG-mediated clearance of PEGylated drugs in human and mouse. Journal of Controlled Release. 284. 171–178. 66 indexed citations
16.
Wang, Yingying, Holly A. Schroeder, Kenetta L. Nunn, et al.. (2016). Diffusion of Immunoglobulin G in Shed Vaginal Epithelial Cells and in Cell-Free Regions of Human Cervicovaginal Mucus. PLoS ONE. 11(6). e0158338–e0158338. 18 indexed citations
17.
Wang, Yingying, et al.. (2015). Minimizing biases associated with tracking analysis of submicron particles in heterogeneous biological fluids. Journal of Controlled Release. 220(Pt A). 37–43. 16 indexed citations
18.
Tang, Benjamin C., Michelle Dawson, Samuel K. Lai, et al.. (2009). Biodegradable polymer nanoparticles that rapidly penetrate the human mucus barrier. Proceedings of the National Academy of Sciences. 106(46). 19268–19273. 360 indexed citations
19.
Lai, Samuel K., Yingying Wang, Kaoru Hida, Richard A. Cone, & Justin Hanes. (2009). Nanoparticles reveal that human cervicovaginal mucus is riddled with pores larger than viruses. Proceedings of the National Academy of Sciences. 107(2). 598–603. 303 indexed citations
20.
Lai, Samuel K., P. D. McKercher, D. M. Moore, & J. H. Gillespie. (1979). Pathogenesis of Swine Vesicular Disease in Pigs. American Journal of Veterinary Research. 40(4). 463–468. 8 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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