Sean A. Dilliard
- Molecular Biology top 5%
- Biomaterials top 2%
- Biomedical Engineering top 10%
- Immunology top 10%
- Genetics top 5%
- Co-authors
- Daniel J. SiegwartQiang ChengLukas FarbiakLindsay T. JohnsonTuo WeiSumanta ChatterjeeAmogh VaidyaXu Wang
- Topics
- RNA Interference and Gene Delivery (7 papers)Nanoparticle-Based Drug Delivery (3 papers)Advanced biosensing and bioanalysis techniques (3 papers)
- Partner nations
- United StatesJapanPoland
In The Last Decade
Sean A. Dilliard
8 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Molecular Biology 2.2k
- Biomaterials 452
- Biomedical Engineering 441
- Immunology 422
- Genetics 377
Countries citing papers authored by Sean A. Dilliard
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 34 | |
| 3 | The interplay of quaternary ammonium lipid structure and protein corona on lung-specific mRNA delivery by selective organ targeting (SORT) nanoparticlesbreakdown → | 85 |
| 4 | Passive, active and endogenous organ-targeted lipid and polymer nanoparticles for delivery of genetic drugsbreakdown → | 413 |
| 5 | 44 | |
| 6 | On the mechanism of tissue-specific mRNA delivery by selective organ targeting nanoparticlesbreakdown → | 655 |
| 7 | Selective organ targeting (SORT) nanoparticles for tissue-specific mRNA delivery and CRISPR–Cas gene editingbreakdown → | 1561 |
| 8 | 17 | |
| 9 | 16 |
About Sean A. Dilliard
Sean A. Dilliard is a scholar working on Biomaterials, Biophysics and Infectious Diseases, having authored 9 papers that have together received 2.8k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (7 papers), Nanoparticle-Based Drug Delivery (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Biomaterials (452 citations), Molecular Biology (2.2k citations) and Immunology (422 citations). Sean A. Dilliard has collaborated with scholars based in United States, Japan and Poland. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and ACS Nano.
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.