Sean A. Dilliard

4.0k total citations · 4 hit papers
9 papers, 2.8k citations indexed

About

Sean A. Dilliard is a scholar working on Molecular Biology, Biomaterials and Infectious Diseases. According to data from OpenAlex, Sean A. Dilliard has authored 9 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Biomaterials and 2 papers in Infectious Diseases. Recurrent topics in Sean A. Dilliard's work include RNA Interference and Gene Delivery (7 papers), Nanoparticle-Based Drug Delivery (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Sean A. Dilliard is often cited by papers focused on RNA Interference and Gene Delivery (7 papers), Nanoparticle-Based Drug Delivery (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Sean A. Dilliard collaborates with scholars based in United States, Japan and Poland. Sean A. Dilliard's co-authors include Daniel J. Siegwart, Qiang Cheng, Lukas Farbiak, Lindsay T. Johnson, Tuo Wei, Sumanta Chatterjee, Amogh Vaidya, Xu Wang, Andrew Lemoff and Yehui Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and ACS Nano.

In The Last Decade

Sean A. Dilliard

8 papers receiving 2.8k citations

Hit Papers

Selective organ targeting (SORT) nanoparticles for tissue... 2020 2026 2022 2024 2020 2021 2023 2023 500 1000 1.5k
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.

  1. Selective organ targeting (SORT) nanoparticles for tissue-specific mRNA delivery and CRISPR–Cas gene editing
    2020 1.6k citations Qiang Cheng, Tuo Wei et al. Nature Nanotechnology profile →
  2. On the mechanism of tissue-specific mRNA delivery by selective organ targeting nanoparticles
    2021 655 citations Sean A. Dilliard, Qiang Cheng et al. Proceedings of the National Academy of Sciences profile →
  3. Passive, active and endogenous organ-targeted lipid and polymer nanoparticles for delivery of genetic drugs
    2023 413 citations Sean A. Dilliard, Daniel J. Siegwart Nature Reviews Materials profile →
  4. The interplay of quaternary ammonium lipid structure and protein corona on lung-specific mRNA delivery by selective organ targeting (SORT) nanoparticles
    2023 85 citations Sean A. Dilliard, Yehui Sun et al. Journal of Controlled Release profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sean A. Dilliard United States 8 2.2k 452 441 422 377 9 2.8k
Lindsay T. Johnson United States 13 2.5k 1.1× 328 0.7× 352 0.8× 433 1.0× 502 1.3× 13 2.9k
Srinivas Ramishetti Israel 27 2.1k 0.9× 494 1.1× 503 1.1× 642 1.5× 372 1.0× 44 2.8k
Xinyao Du United States 6 2.3k 1.0× 407 0.9× 304 0.7× 411 1.0× 284 0.8× 6 2.7k
Kevin Kauffman United States 19 3.1k 1.4× 374 0.8× 353 0.8× 579 1.4× 775 2.1× 28 3.7k
Kalina Paunovska United States 21 2.0k 0.9× 285 0.6× 274 0.6× 268 0.6× 302 0.8× 26 2.4k
Frank DeRosa United States 22 2.7k 1.2× 282 0.6× 258 0.6× 517 1.2× 679 1.8× 33 3.4k
Ikramy A. Khalil Japan 27 2.7k 1.2× 646 1.4× 437 1.0× 326 0.8× 705 1.9× 37 3.3k
Meir Goldsmith Israel 22 1.4k 0.6× 455 1.0× 391 0.9× 462 1.1× 182 0.5× 35 2.0k
Xiangang Huang China 29 1.7k 0.8× 483 1.1× 951 2.2× 475 1.1× 222 0.6× 44 2.9k
Melissa P. Lokugamage United States 21 1.8k 0.8× 212 0.5× 224 0.5× 295 0.7× 286 0.8× 26 2.1k

Countries citing papers authored by Sean A. Dilliard

Since Specialization
Citations

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

Fields of papers citing papers by Sean A. Dilliard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean A. Dilliard. 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 Sean A. Dilliard. The network helps show where Sean A. Dilliard may publish in the future.

Co-authorship network of co-authors of Sean A. Dilliard

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

All Works

9 of 9 papers shown
1.
Vaidya, Amogh, Yun‐Chieh Sung, Vanina Toffessi Tcheuyap, et al.. (2025). Endogenous Targeting of Lipid Nanoparticles to Kidney Tumors. ACS Nano. 19(34). 30860–30871.
2.
Vaidya, Amogh, Stephen D. Moore, Sumanta Chatterjee, et al.. (2024). Expanding RNAi to Kidneys, Lungs, and Spleen via Selective ORgan Targeting (SORT) siRNA Lipid Nanoparticles. Advanced Materials. 36(35). e2313791–e2313791. 34 indexed citations
3.
Dilliard, Sean A., Yehui Sun, Yun‐Chieh Sung, et al.. (2023). The interplay of quaternary ammonium lipid structure and protein corona on lung-specific mRNA delivery by selective organ targeting (SORT) nanoparticles. Journal of Controlled Release. 361. 361–372. 85 indexed citations breakdown →
4.
Dilliard, Sean A. & Daniel J. Siegwart. (2023). Passive, active and endogenous organ-targeted lipid and polymer nanoparticles for delivery of genetic drugs. Nature Reviews Materials. 8(4). 282–300. 413 indexed citations breakdown →
5.
Johnson, Lindsay T., Di Zhang, Ke‐Jin Zhou, et al.. (2022). Lipid Nanoparticle (LNP) Chemistry Can Endow Unique In Vivo RNA Delivery Fates within the Liver That Alter Therapeutic Outcomes in a Cancer Model. Molecular Pharmaceutics. 19(11). 3973–3986. 44 indexed citations
6.
Dilliard, Sean A., Qiang Cheng, & Daniel J. Siegwart. (2021). On the mechanism of tissue-specific mRNA delivery by selective organ targeting nanoparticles. Proceedings of the National Academy of Sciences. 118(52). 655 indexed citations breakdown →
7.
Cheng, Qiang, Tuo Wei, Lukas Farbiak, et al.. (2020). Selective organ targeting (SORT) nanoparticles for tissue-specific mRNA delivery and CRISPR–Cas gene editing. Nature Nanotechnology. 15(4). 313–320. 1561 indexed citations breakdown →
8.
Lapin, Norman A., Leoncio Vergara, Yuri Mackeyev, et al.. (2017). Biotransport kinetics and intratumoral biodistribution of malonodiserinolamide-derivatized [60]fullerene in a murine model of breast adenocarcinoma. International Journal of Nanomedicine. Volume 12. 8289–8307. 17 indexed citations
9.
Lapin, Norman A., Martyna Krzykawska-Serda, Sean A. Dilliard, et al.. (2017). The effects of non-invasive radiofrequency electric field hyperthermia on biotransport and biodistribution of fluorescent [60]fullerene derivative in a murine orthotopic model of breast adenocarcinoma. Journal of Controlled Release. 260. 92–99. 16 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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