Michael S. Valic

1.2k total citations · 1 hit paper
23 papers, 996 citations indexed

About

Michael S. Valic is a scholar working on Biomedical Engineering, Biomaterials and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael S. Valic has authored 23 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 10 papers in Biomaterials and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael S. Valic's work include Nanoplatforms for cancer theranostics (13 papers), Nanoparticle-Based Drug Delivery (9 papers) and Photodynamic Therapy Research Studies (6 papers). Michael S. Valic is often cited by papers focused on Nanoplatforms for cancer theranostics (13 papers), Nanoparticle-Based Drug Delivery (9 papers) and Photodynamic Therapy Research Studies (6 papers). Michael S. Valic collaborates with scholars based in Canada, United States and France. Michael S. Valic's co-authors include Gang Zheng, Juan Chen, Wilson Poon, Presley MacMillan, Zachary P. Lin, Abdullah M. Syed, Warren C. W. Chan, Ben Ouyang, Benjamin R. Kingston and Yi-Nan Zhang and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Nature Materials.

In The Last Decade

Michael S. Valic

20 papers receiving 990 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The dose threshold for nanoparticle tumour delivery

2020 412 citations Ben Ouyang, Wilson Poon et al. Nature Materials profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael S. Valic Canada	11	521	372	323	201	148	23	996
Jueun Jeon South Korea	18	482 0.9×	316 0.8×	269 0.8×	174 0.9×	89 0.6×	27	913
Dongsik Park South Korea	15	501 1.0×	332 0.9×	313 1.0×	181 0.9×	78 0.5×	19	1.0k
Tingsheng Lin China	18	454 0.9×	174 0.5×	281 0.9×	292 1.5×	212 1.4×	26	1.0k
Huining He China	19	499 1.0×	530 1.4×	573 1.8×	135 0.7×	78 0.5×	44	1.3k
Miguel Ferreira Italy	15	279 0.5×	260 0.7×	199 0.6×	190 0.9×	49 0.3×	32	723
Yesi Shi China	14	539 1.0×	217 0.6×	383 1.2×	225 1.1×	83 0.6×	23	958
Sol Shin South Korea	16	352 0.7×	186 0.5×	447 1.4×	119 0.6×	75 0.5×	21	892
Soyoung Son South Korea	17	613 1.2×	537 1.4×	451 1.4×	101 0.5×	85 0.6×	23	1.2k
Anna Guller Australia	20	679 1.3×	281 0.8×	238 0.7×	434 2.2×	165 1.1×	50	1.3k

Countries citing papers authored by Michael S. Valic

Since Specialization

Citations

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

Fields of papers citing papers by Michael S. Valic

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Valic. 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 Michael S. Valic. The network helps show where Michael S. Valic may publish in the future.

Co-authorship network of co-authors of Michael S. Valic

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Valic. A scholar is included among the top collaborators of Michael S. Valic 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 Michael S. Valic. Michael S. Valic 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

1.

Valic, Michael S., Tracy Liu, Yiming Yang, et al.. (2025). A Membrane Fluidization Strategy Significantly Boosts Photodynamic Therapy and Antitumor Immunity of Porphyrin-Lipid Nanoparticles. PubMed. 1(1). 268–282.

2.

Sahovaler, Axel, Michael S. Valic, Jason L. Townson, et al.. (2024). Nanoparticle-mediated Photodynamic Therapy as a Method to Ablate Oral Cavity Squamous Cell Carcinoma in Preclinical Models. Cancer Research Communications. 4(3). 796–810. 2 indexed citations

3.

Ma, Jun, Qing Lyu, Maneesha A. Rajora, et al.. (2024). Deep learning for automatic organ and tumor segmentation in nanomedicine pharmacokinetics. Theranostics. 14(3). 973–987. 10 indexed citations

4.

Guidolin, Keegan, Ali Makky, Michael S. Valic, et al.. (2023). Novel Strategy to Drive the Intracellular Uptake of Lipid Nanoparticles for Photodynamic Therapy. Angewandte Chemie International Edition. 62(16). e202218218–e202218218. 30 indexed citations

5.

Guidolin, Keegan, Ali Makky, Michael S. Valic, et al.. (2023). Novel Strategy to Drive the Intracellular Uptake of Lipid Nanoparticles for Photodynamic Therapy. Angewandte Chemie. 135(16). 9 indexed citations

6.

Valic, Michael S., et al.. (2022). Measurement of intact and dissociated porphyrin-lipid nanoparticle concentration in tissue using diffuse reflectance and fluorescence spectroscopy. 19–19.

7.

Bu, Jiachuan, Lili Ding, Jenny W. H. Lou, et al.. (2021). Porphyrin-lipid stabilized paclitaxel nanoemulsion for combined photodynamic therapy and chemotherapy. Journal of Nanobiotechnology. 19(1). 154–154. 46 indexed citations

8.

Valic, Michael S., et al.. (2020). Guidelines for the experimental design of pharmacokinetic studies with nanomaterials in preclinical animal models. Journal of Controlled Release. 323. 83–101. 31 indexed citations

9.

Ouyang, Ben, Wilson Poon, Yi-Nan Zhang, et al.. (2020). The dose threshold for nanoparticle tumour delivery. Nature Materials. 19(12). 1362–1371. 412 indexed citations breakdown →

10.

Valic, Michael S. & Gang Zheng. (2019). Research tools for extrapolating the disposition and pharmacokinetics of nanomaterials from preclinical animals to humans. Theranostics. 9(11). 3365–3387. 36 indexed citations

11.

Kinoshita, Tomonari, Hideki Ujiie, Juan Chen, et al.. (2019). Evaluation of Novel Imaging Devices for Nanoparticle-Mediated Fluorescence-Guided Lung Tumor Therapy. The Annals of Thoracic Surgery. 107(6). 1613–1620. 10 indexed citations

12.

Hou, Wenxiu, Jenny W. H. Lou, Jiachuan Bu, et al.. (2019). A Nanoemulsion with A Porphyrin Shell for Cancer Theranostics. Angewandte Chemie. 131(42). 15116–15120. 25 indexed citations

13.

Hou, Wenxiu, Jenny W. H. Lou, Lili Ding, et al.. (2019). A Nanoemulsion with A Porphyrin Shell for Cancer Theranostics. Angewandte Chemie International Edition. 58(42). 14974–14978. 48 indexed citations

14.

O’Cearbhaill, Eoin D., Bryan Laulicht, Lawrence Yu, et al.. (2019). A radial clutch needle for facile and safe tissue compartment access. PubMed. 2(5-6). 3 indexed citations

15.

Joshi, Nitin, Jing Yan, Sachin Bhagchandani, et al.. (2018). Towards an arthritis flare-responsive drug delivery system. Nature Communications. 9(1). 1275–1275. 214 indexed citations

16.

Valic, Michael S., et al.. (2017). In Vivo Potential of Manganese Chelated Porphysomes as MRI Contrast Agents. 3(1). 47–53. 6 indexed citations

17.

Rajora, Maneesha A., Lili Ding, Michael S. Valic, et al.. (2017). Tailored theranostic apolipoprotein E3 porphyrin-lipid nanoparticles target glioblastoma. Chemical Science. 8(8). 5371–5384. 69 indexed citations

18.

Valic, Michael S., Paul A. Magnin, Margarete K. Akens, et al.. (2016). Development and clinical translation of OTIS: a wide-field OCT imaging device for ex-vivo tissue characterization. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9703. 97030L–97030L.

19.

Valic, Michael S. & Gang Zheng. (2016). Rethinking translational nanomedicine: insights from the ‘bottom-up’ design of the Porphysome for guiding the clinical development of imageable nanomaterials. Current Opinion in Chemical Biology. 33(16). 126–134. 7 indexed citations

20.

Wells, Laura A., et al.. (2013). Angiogenic Biomaterials to Promote Tissue Vascularization and Integration. Israel Journal of Chemistry. 53(9-10). 637–645. 13 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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