Szu‐Wen Wang

2.1k total citations
46 papers, 1.6k citations indexed

About

Szu‐Wen Wang is a scholar working on Molecular Biology, Biomaterials and Immunology. According to data from OpenAlex, Szu‐Wen Wang has authored 46 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Biomaterials and 11 papers in Immunology. Recurrent topics in Szu‐Wen Wang's work include Immunotherapy and Immune Responses (10 papers), RNA Interference and Gene Delivery (8 papers) and Collagen: Extraction and Characterization (6 papers). Szu‐Wen Wang is often cited by papers focused on Immunotherapy and Immune Responses (10 papers), RNA Interference and Gene Delivery (8 papers) and Collagen: Extraction and Characterization (6 papers). Szu‐Wen Wang collaborates with scholars based in United States, Ukraine and United Kingdom. Szu‐Wen Wang's co-authors include N Molino, Edward L. Nelson, Dongmei Ren, Wendy F. Liu, Felix Kratz, Tae‐il Kim, Andrew T. Rowley, Jo A. Tucker, Raji R. Nagalla and Amanda Anderson and has published in prestigious journals such as Nano Letters, ACS Nano and Biomaterials.

In The Last Decade

Szu‐Wen Wang

46 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Szu‐Wen Wang United States	21	802	504	430	407	195	46	1.6k
Joaquin Seras‐Franzoso Spain	29	1.2k 1.5×	403 0.8×	373 0.9×	163 0.4×	259 1.3×	60	1.9k
Thomas Schluep United States	24	1.2k 1.5×	645 1.3×	453 1.1×	216 0.5×	103 0.5×	47	2.6k
Yi Shao China	18	1.1k 1.4×	620 1.2×	408 0.9×	194 0.5×	119 0.6×	35	1.9k
Laura Sánchez‐García Spain	23	992 1.2×	279 0.6×	182 0.4×	342 0.8×	214 1.1×	63	1.6k
Jai S. Rudra United States	23	1.4k 1.8×	1.1k 2.2×	424 1.0×	666 1.6×	68 0.3×	46	2.6k
So Young Yoo South Korea	29	1.1k 1.3×	295 0.6×	665 1.5×	212 0.5×	494 2.5×	71	2.4k
Craig Blanchette United States	28	1.6k 2.0×	183 0.4×	355 0.8×	417 1.0×	70 0.4×	56	2.3k
Ugutz Unzueta Spain	29	1.7k 2.1×	620 1.2×	321 0.7×	572 1.4×	444 2.3×	116	2.6k
Naroa Serna Spain	22	914 1.1×	310 0.6×	165 0.4×	335 0.8×	222 1.1×	62	1.4k
Ezharul Hoque Chowdhury Malaysia	28	1.4k 1.8×	703 1.4×	541 1.3×	193 0.5×	69 0.4×	147	2.5k

Countries citing papers authored by Szu‐Wen Wang

Since Specialization

Citations

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

Fields of papers citing papers by Szu‐Wen Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Szu‐Wen Wang. 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 Szu‐Wen Wang. The network helps show where Szu‐Wen Wang may publish in the future.

Co-authorship network of co-authors of Szu‐Wen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Szu‐Wen Wang. A scholar is included among the top collaborators of Szu‐Wen Wang 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 Szu‐Wen Wang. Szu‐Wen Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hernandez‐Davies, Jenny E., et al.. (2025). Co‐Delivery of Multiple Toll‐Like Receptor Agonists and Avian Influenza Hemagglutinin on Protein Nanoparticles Enhances Vaccine Immunogenicity and Efficacy. Advanced Healthcare Materials. 14(10). e2404335–e2404335. 2 indexed citations

Felgner, Jiin, Aarti Jain, Tyler J. Albin, et al.. (2023). Engineering Protein Nanoparticles Functionalized with an Immunodominant Coxiella burnetii Antigen to Generate a Q Fever Vaccine. Bioconjugate Chemistry. 34(9). 1653–1666. 6 indexed citations

Tucker, Jo A., et al.. (2022). Nanoparticle vaccines can be designed to induce pDC support of mDCs for increased antigen display. Biomaterials Science. 11(2). 596–610. 8 indexed citations

Tucker, Jo A., et al.. (2022). Macromolecular assembly of bioluminescent protein nanoparticles for enhanced imaging. Materials Today Bio. 17. 100455–100455. 5 indexed citations

Burkhardt, Amanda M., et al.. (2020). Advancements in protein nanoparticle vaccine platforms to combat infectious disease. Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology. 13(3). e1681–e1681. 41 indexed citations

Rowley, Andrew T., et al.. (2020). Effects of Surface-Bound Collagen-Mimetic Peptides on Macrophage Uptake and Immunomodulation. Frontiers in Bioengineering and Biotechnology. 8. 747–747. 17 indexed citations

Rowley, Andrew T., Raji R. Nagalla, Szu‐Wen Wang, & Wendy F. Liu. (2019). Extracellular Matrix‐Based Strategies for Immunomodulatory Biomaterials Engineering. Advanced Healthcare Materials. 8(8). e1801578–e1801578. 144 indexed citations

Kim, Tae‐il, et al.. (2018). Protein-based nanoparticles in cancer vaccine development. Nanomedicine Nanotechnology Biology and Medicine. 15(1). 164–174. 138 indexed citations

Que, Richard, et al.. (2018). Tailoring Collagen to Engineer the Cellular Microenvironment. Biotechnology Journal. 13(12). e1800140–e1800140. 6 indexed citations

10.

Tucker, Jo A., et al.. (2017). Co-delivery of human cancer-testis antigens with adjuvant in protein nanoparticles induces higher cell-mediated immune responses. Biomaterials. 156. 194–203. 59 indexed citations

11.

Molino, N, et al.. (2017). Display of DNA on Nanoparticles for Targeting Antigen Presenting Cells. ACS Biomaterials Science & Engineering. 3(4). 496–501. 31 indexed citations

12.

Que, Richard, et al.. (2015). Tuning cellular response by modular design of bioactive domains in collagen. Biomaterials. 53. 309–317. 26 indexed citations

13.

Ren, Dongmei, Felix Kratz, & Szu‐Wen Wang. (2013). Engineered drug-protein nanoparticle complexes for folate receptor targeting. Biochemical Engineering Journal. 89. 33–41. 50 indexed citations

14.

Greaves, John, et al.. (2012). Assaying proline hydroxylation in recombinant collagen variants by liquid chromatography-mass spectrometry. BMC Biotechnology. 12(1). 51–51. 15 indexed citations

15.

Ren, Dongmei, et al.. (2012). Biomimetic Design of Protein Nanomaterials for Hydrophobic Molecular Transport. Advanced Functional Materials. 22(15). 3170–3180. 56 indexed citations

16.

Ren, Dongmei, Felix Kratz, & Szu‐Wen Wang. (2011). Protein Nanocapsules Containing Doxorubicin as a pH‐Responsive Delivery System. Small. 7(8). 1051–1060. 104 indexed citations

17.

Hung, She‐pin, et al.. (2010). Recombinant Human Collagen and Biomimetic Variants Using a De Novo Gene Optimized for Modular Assembly. Biomacromolecules. 11(6). 1460–1469. 19 indexed citations

18.

Lim, Sierin, et al.. (2008). Design of a pH-Dependent Molecular Switch in a Caged Protein Platform. Nano Letters. 9(1). 160–166. 49 indexed citations

19.

Lin, Chiou‐Feng, Cheng‐Chieh Tsai, Wei‐Ching Huang, et al.. (2008). IFN‐γ synergizes with LPS to induce nitric oxide biosynthesis through glycogen synthase kinase‐3‐inhibited IL‐10. Journal of Cellular Biochemistry. 105(3). 746–755. 43 indexed citations

20.

Wang, Szu‐Wen, et al.. (2004). Determination of P‐glycoprotein inhibition by excipients and their combinations using an integrated high‐throughput process. Journal of Pharmaceutical Sciences. 93(11). 2755–2767. 48 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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