Frank Gu

14.9k total citations · 6 hit papers
145 papers, 11.7k citations indexed

About

Frank Gu is a scholar working on Biomedical Engineering, Molecular Biology and Biomaterials. According to data from OpenAlex, Frank Gu has authored 145 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Biomedical Engineering, 37 papers in Molecular Biology and 31 papers in Biomaterials. Recurrent topics in Frank Gu's work include Nanoparticle-Based Drug Delivery (24 papers), Advanced biosensing and bioanalysis techniques (23 papers) and Enhanced Oil Recovery Techniques (13 papers). Frank Gu is often cited by papers focused on Nanoparticle-Based Drug Delivery (24 papers), Advanced biosensing and bioanalysis techniques (23 papers) and Enhanced Oil Recovery Techniques (13 papers). Frank Gu collaborates with scholars based in Canada, United States and France. Frank Gu's co-authors include Omid C. Farokhzad, Andrew Z. Wang, Róbert Langer, Juliana M. Chan, Liangfang Zhang, Aleksandar F. Radovic‐Moreno, Frank Alexis, Benjamin A. Teply, Stephen J. Lippard and Shanta Dhar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nano Letters.

In The Last Decade

Frank Gu

142 papers receiving 11.5k citations

Hit Papers

Nanoparticles in Medicine: Therapeutic Applications and D... 2006 2026 2012 2019 2007 2006 2008 2008 2008 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank Gu Canada 48 4.7k 4.4k 3.7k 2.3k 1.3k 145 11.7k
Soodabeh Davaran Iran 60 6.0k 1.3× 5.5k 1.2× 3.6k 1.0× 2.8k 1.2× 1.5k 1.2× 242 14.1k
Abolfazl Akbarzadeh Iran 61 5.9k 1.2× 6.0k 1.4× 4.9k 1.3× 4.2k 1.8× 1.5k 1.1× 260 17.6k
Volker Mailänder Germany 63 5.8k 1.2× 4.5k 1.0× 4.3k 1.2× 3.2k 1.4× 760 0.6× 250 13.7k
Seungpyo Hong United States 45 6.0k 1.3× 5.9k 1.3× 6.5k 1.7× 2.7k 1.2× 722 0.5× 159 15.0k
Sanjeeb Kumar Sahoo India 49 7.3k 1.5× 5.1k 1.1× 5.0k 1.4× 2.4k 1.1× 2.7k 2.1× 117 15.2k
Sangyong Jon South Korea 62 5.6k 1.2× 6.7k 1.5× 7.2k 2.0× 3.2k 1.4× 759 0.6× 219 16.4k
Andrew Z. Wang United States 60 6.8k 1.4× 7.3k 1.6× 5.4k 1.5× 2.8k 1.2× 987 0.7× 268 16.2k
Alke Petri‐Fink Switzerland 53 3.9k 0.8× 4.4k 1.0× 2.3k 0.6× 4.3k 1.9× 530 0.4× 268 12.7k
Mohammad‐Ali Shahbazi Finland 55 2.9k 0.6× 4.4k 1.0× 2.4k 0.6× 2.2k 0.9× 1.2k 0.9× 213 10.0k
Jessica M. Rosenholm Finland 49 3.2k 0.7× 3.4k 0.8× 2.2k 0.6× 4.2k 1.8× 1.3k 1.0× 217 9.9k

Countries citing papers authored by Frank Gu

Since Specialization
Citations

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

Fields of papers citing papers by Frank Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank Gu. 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 Frank Gu. The network helps show where Frank Gu may publish in the future.

Co-authorship network of co-authors of Frank Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Gu. A scholar is included among the top collaborators of Frank Gu 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 Frank Gu. Frank Gu 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
2.
Lin, Qiyin, et al.. (2025). TransPhyX: A data-driven method for dynamic physical field prediction in stochastic load time-series. Knowledge-Based Systems. 330. 114492–114492.
3.
Lui, Gregory, et al.. (2024). Passive solar evaporation and emissions reduction of process-affected and produced water using buoyant photothermal beads. Desalination and Water Treatment. 320. 100776–100776. 1 indexed citations
5.
McGuigan, Alison P., et al.. (2024). Lateral Assessment of Mucomimetic Hydrogels to Evaluate Correlation between Microscopic and Macroscopic Properties. Macromolecular Bioscience. 24(12). e2400146–e2400146.
6.
Gu, Frank, et al.. (2024). Photocatalytic nanoparticles in flow-through annular photoreactors for continuous selenate reduction in industrial wastewater. Environmental Science Nano. 11(7). 2923–2936. 3 indexed citations
7.
Chan, Chi Hou, et al.. (2024). In situ formed Se–TiO2 as a highly reusable photocatalyst for selenium reduction and removal from industrial wastewater. Chemosphere. 370. 143959–143959. 3 indexed citations
8.
Gu, Frank, et al.. (2023). An interpretable machine learning framework for modelling macromolecular interaction mechanisms with nuclear magnetic resonance. Digital Discovery. 2(6). 1697–1709. 6 indexed citations
9.
Gu, Frank, et al.. (2023). Sizing up feature descriptors for macromolecular machine learning with polymeric biomaterials. npj Computational Materials. 9(1). 16 indexed citations
10.
Chan, Christopher T., et al.. (2023). Floating reactive barriers to mitigate secondary organic aerosol formation from oil sands tailings ponds. Environmental Technology & Innovation. 33. 103492–103492. 6 indexed citations
11.
Lilge, Lothar, et al.. (2020). Light propagation within N95 filtered face respirators: A simulation study for UVC decontamination. Journal of Biophotonics. 13(12). e202000232–e202000232. 10 indexed citations
12.
Varkouhi, Amir K., Mirjana Jerkić, Stéphane Gagnon, et al.. (2019). Extracellular Vesicles from Interferon-γ–primed Human Umbilical Cord Mesenchymal Stromal Cells Reduce Escherichia coli–induced Acute Lung Injury in Rats. Anesthesiology. 130(5). 778–790. 77 indexed citations
13.
Holmes, Andrew B. & Frank Gu. (2018). Real-time monitoring of nanoscale TiO 2 concentration by spectrophotometry: implications of agglomeration due to natural organic matter and multivalent ions. Environmental Technology. 40(14). 1821–1830. 1 indexed citations
14.
Xu, Jiang, Shusheng Zhang, Sébastien Lecommandoux, et al.. (2017). Controllable Microfluidic Production of Drug-Loaded PLGA Nanoparticles Using Partially Water-Miscible Mixed Solvent Microdroplets as a Precursor. Scientific Reports. 7(1). 4794–4794. 106 indexed citations
15.
Verma, Mohit S., Jacob L. Rogowski, Lyndon Jones, & Frank Gu. (2015). Colorimetric biosensing of pathogens using gold nanoparticles. Biotechnology Advances. 33(6). 666–680. 155 indexed citations
16.
Boujday, Souhir, et al.. (2014). Effect of SAM chain length and binding functions on protein adsorption: β-Lactoglobulin and apo-transferrin on gold. Colloids and Surfaces B Biointerfaces. 116. 489–496. 29 indexed citations
17.
Leshuk, Tim, et al.. (2013). Mesoporous Magnetically Recyclable Photocatalysts for Water Treatment. Journal of Nanoscience and Nanotechnology. 13(4). 3127–3132. 10 indexed citations
18.
Phan, Chau‐Minh, Lakshman N. Subbaraman, Shengyan Liu, Frank Gu, & Lyndon Jones. (2013). In vitrouptake and release of natamycin Dex-b-PLA nanoparticles from model contact lens materials. Journal of Biomaterials Science Polymer Edition. 25(1). 18–31. 34 indexed citations
19.
Gu, Frank, Liangfang Zhang, Benjamin A. Teply, et al.. (2008). Precise engineering of targeted nanoparticles by using self-assembled biointegrated block copolymers. Proceedings of the National Academy of Sciences. 105(7). 2586–2591. 577 indexed citations breakdown →
20.
Wang, Andrew Z., Vaishali Bagalkot, Frank Gu, et al.. (2008). Superparamagnetic Iron Oxide Nanoparticle–Aptamer Bioconjugates for Combined Prostate Cancer Imaging and Therapy. ChemMedChem. 3(9). 1311–1315. 235 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026