Ryan M. Pearson

4.4k total citations
59 papers, 3.4k citations indexed

About

Ryan M. Pearson is a scholar working on Organic Chemistry, Molecular Biology and Immunology. According to data from OpenAlex, Ryan M. Pearson has authored 59 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Organic Chemistry, 18 papers in Molecular Biology and 17 papers in Immunology. Recurrent topics in Ryan M. Pearson's work include Nanoparticle-Based Drug Delivery (13 papers), RNA Interference and Gene Delivery (12 papers) and Immunotherapy and Immune Responses (10 papers). Ryan M. Pearson is often cited by papers focused on Nanoparticle-Based Drug Delivery (13 papers), RNA Interference and Gene Delivery (12 papers) and Immunotherapy and Immune Responses (10 papers). Ryan M. Pearson collaborates with scholars based in United States, South Korea and Australia. Ryan M. Pearson's co-authors include Garret M. Miyake, Chern‐Hooi Lim, Blaine G. McCarthy, Seungpyo Hong, Petr Král, Lonnie D. Shea, Niels H. Damrauer, Steven M. Sartor, Stephen D. Miller and A.V. Titov and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Ryan M. Pearson

56 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan M. Pearson United States 33 1.3k 748 714 665 590 59 3.4k
Feihu Wang United States 31 413 0.3× 540 0.7× 1.1k 1.6× 934 1.4× 337 0.6× 61 2.8k
Mauro Comes Franchini Italy 34 1.3k 1.0× 648 0.9× 874 1.2× 1.2k 1.8× 88 0.1× 158 3.7k
Hangxiang Wang China 43 892 0.7× 732 1.0× 1.8k 2.5× 2.0k 3.0× 411 0.7× 122 5.0k
Kaitlin M. Bratlie United States 28 528 0.4× 1.2k 1.6× 485 0.7× 1.1k 1.6× 169 0.3× 65 3.5k
Marc A. Gauthier Canada 35 1.5k 1.2× 695 0.9× 1.5k 2.1× 632 1.0× 128 0.2× 100 4.2k
Jiyuan Yang United States 39 740 0.6× 434 0.6× 1.5k 2.1× 1.3k 2.0× 339 0.6× 113 4.3k
Gaojian Chen China 36 2.2k 1.7× 821 1.1× 1.4k 2.0× 923 1.4× 131 0.2× 141 4.3k
Han Cheng China 37 674 0.5× 1.4k 1.9× 1.2k 1.6× 2.1k 3.2× 180 0.3× 109 4.2k
Zeng‐Ying Qiao China 38 663 0.5× 1.1k 1.5× 1.6k 2.3× 2.1k 3.2× 325 0.6× 94 4.3k
Shuangjiang Yu China 33 370 0.3× 704 0.9× 809 1.1× 1.7k 2.6× 525 0.9× 77 3.5k

Countries citing papers authored by Ryan M. Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Ryan M. Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan M. Pearson. 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 Ryan M. Pearson. The network helps show where Ryan M. Pearson may publish in the future.

Co-authorship network of co-authors of Ryan M. Pearson

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan M. Pearson. A scholar is included among the top collaborators of Ryan M. Pearson 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 Ryan M. Pearson. Ryan M. Pearson 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.
Mohaghegh, Neda, Heemin Kang, Mohsen Akbari, et al.. (2025). Apigenin-loaded nanoparticles for obesity intervention through immunomodulation and adipocyte browning. Journal of Controlled Release. 382. 113670–113670. 4 indexed citations
2.
Mohaghegh, Neda, Yixuan Huang, Amir Ahari, et al.. (2025). Immunoengineering strategies using nanoparticles for obesity treatment. Nano Research. 18(12). 94907707–94907707.
3.
4.
Mohaghegh, Neda, Amir Ahari, Yixuan Huang, et al.. (2024). Simvastatin-Loaded Polymeric Nanoparticles: Targeting Inflammatory Macrophages for Local Adipose Tissue Browning in Obesity Treatment. ACS Nano. 18(40). 27764–27781. 17 indexed citations
5.
Fletcher, Steven, et al.. (2023). Multimodal nanoparticle‐containing modified suberoylanilide hydroxamic acid polymer conjugates to mitigate immune dysfunction in severe inflammation. Bioengineering & Translational Medicine. 9(1). e10611–e10611. 6 indexed citations
6.
7.
Chakraborty, Atanu, et al.. (2021). Nanoparticle-Based Delivery to Treat Spinal Cord Injury—a Mini-review. AAPS PharmSciTech. 22(3). 101–101. 30 indexed citations
8.
Freitag, Tobias, Joseph R. Podojil, Ryan M. Pearson, et al.. (2020). Gliadin Nanoparticles Induce Immune Tolerance to Gliadin in Mouse Models of Celiac Disease. Gastroenterology. 158(6). 1667–1681.e12. 100 indexed citations
9.
Pearson, Ryan M., et al.. (2020). Biomaterial-Driven Immunomodulation: Cell Biology-Based Strategies to Mitigate Severe Inflammation and Sepsis. Frontiers in Immunology. 11. 1726–1726. 25 indexed citations
10.
Casey, Liam M., et al.. (2019). Cargo-less nanoparticles program innate immune cell responses to toll-like receptor activation. Biomaterials. 218. 119333–119333. 63 indexed citations
11.
Saito, Eiji, Robert Kuo, Ryan M. Pearson, et al.. (2019). Designing drug-free biodegradable nanoparticles to modulate inflammatory monocytes and neutrophils for ameliorating inflammation. Journal of Controlled Release. 300. 185–196. 86 indexed citations
12.
Sartor, Steven M., Blaine G. McCarthy, Ryan M. Pearson, Garret M. Miyake, & Niels H. Damrauer. (2018). Exploiting Charge-Transfer States for Maximizing Intersystem Crossing Yields in Organic Photoredox Catalysts. Journal of the American Chemical Society. 140(14). 4778–4781. 105 indexed citations
13.
Pearson, Ryan M., Joseph R. Podojil, Lonnie D. Shea, et al.. (2018). Overcoming challenges in treating autoimmuntity: Development of tolerogenic immune-modifying nanoparticles. Nanomedicine Nanotechnology Biology and Medicine. 18. 282–291. 60 indexed citations
14.
Pearson, Ryan M., Liam M. Casey, Kevin R. Hughes, et al.. (2017). Controlled Delivery of Single or Multiple Antigens in Tolerogenic Nanoparticles Using Peptide-Polymer Bioconjugates. Molecular Therapy. 25(7). 1655–1664. 77 indexed citations
15.
McCarthy, Derrick, Christopher Harp, Wenyi Song, et al.. (2016). An antigen-encapsulating nanoparticle platform for TH1/17 immune tolerance therapy. Nanomedicine Nanotechnology Biology and Medicine. 13(1). 191–200. 89 indexed citations
16.
Theriot, Jordan C., et al.. (2016). Atom Transfer Radical Polymerization of Functionalized Vinyl Monomers Using Perylene as a Visible Light Photocatalyst. Journal of Visualized Experiments. e53571–e53571. 9 indexed citations
17.
Pearson, Ryan M., et al.. (2014). Biomolecular corona on nanoparticles: a survey of recent literature and its implications in targeted drug delivery. Frontiers in Chemistry. 2. 108–108. 109 indexed citations
18.
Pearson, Ryan M., Shu‐Yu Zhang, Gang He, Nicola Edwards, & Gong Chen. (2013). Synthesis of phenanthridines via palladium-catalyzed picolinamide-directed sequential C–H functionalization. Beilstein Journal of Organic Chemistry. 9. 891–899. 31 indexed citations
19.
Sunoqrot, Suhair, Jin Woo Bae, Ryan M. Pearson, et al.. (2012). Temporal Control over Cellular Targeting through Hybridization of Folate-targeted Dendrimers and PEG-PLA Nanoparticles. Biomacromolecules. 13(4). 1223–1230. 42 indexed citations
20.
Pearson, Ryan M., Jin Woo Bae, Suhair Sunoqrot, Shahab Uddin, & Seungpyo Hong. (2011). Facilitated self-assembly of novel dendron-based copolymers. PubMed. 2011. 8334–8336.

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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