Lindsay T. Johnson
- Molecular Biology top 5%
- Genetics top 5%
- Immunology top 5%
- Biomedical Engineering top 10%
- Biomaterials top 5%
- Co-authors
- Daniel J. SiegwartLukas FarbiakQiang ChengTuo WeiSean A. DilliardXueliang YuShuai LiuSang M. Lee
- Topics
- RNA Interference and Gene Delivery (12 papers)Advanced biosensing and bioanalysis techniques (8 papers)CRISPR and Genetic Engineering (5 papers)
- Journals
- Journal of the American Chemical SocietyAdvanced MaterialsAngewandte Chemie International Edition
- Partner nations
- United States
In The Last Decade
Lindsay T. Johnson
13 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Molecular Biology 2.5k
- Genetics 502
- Immunology 433
- Biomedical Engineering 352
- Biomaterials 328
Countries citing papers authored by Lindsay T. Johnson
This map shows the geographic impact of Lindsay T. Johnson'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 Lindsay T. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lindsay T. Johnson more than expected).
Fields of papers citing papers by Lindsay T. Johnson
This network shows the impact of papers produced by Lindsay T. Johnson. 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 Lindsay T. Johnson. The network helps show where Lindsay T. Johnson may publish in the future.
Co-authorship network of co-authors of Lindsay T. Johnson
This figure shows the co-authorship network connecting the top 25 collaborators of Lindsay T. Johnson. A scholar is included among the top collaborators of Lindsay T. Johnson 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 Lindsay T. Johnson. Lindsay T. Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Lung SORT LNPs enable precise homology-directed repair mediated CRISPR/Cas genome correction in cystic fibrosis modelsbreakdown → | 103 |
| 2 | Enhancing CRISPR/Cas gene editing through modulating cellular mechanical properties for cancer therapybreakdown → | 183 |
| 3 | 44 | |
| 4 | Membrane-destabilizing ionizable phospholipids for organ-selective mRNA delivery and CRISPR–Cas gene editingbreakdown → | 483 |
| 5 | 73 | |
| 6 | 155 | |
| 7 | 16 | |
| 8 | 131 | |
| 9 | Selective organ targeting (SORT) nanoparticles for tissue-specific mRNA delivery and CRISPR–Cas gene editingbreakdown → | 1561 |
| 10 | 106 | |
| 11 | 20 | |
| 12 | 20 | |
| 13 | 51 |
About Lindsay T. Johnson
Lindsay T. Johnson is a scholar working on Molecular Biology, Polymers and Plastics and Genetics, having authored 13 papers that have together received 2.9k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (12 papers), Advanced biosensing and bioanalysis techniques (8 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Biomaterials (328 citations) and Immunology (433 citations). Lindsay T. Johnson has collaborated with scholars based in United States. Frequent co-authors include Daniel J. Siegwart, Lukas Farbiak, Qiang Cheng, Tuo Wei, Sean A. Dilliard, Xueliang Yu, Shuai Liu, Sang M. Lee, Di Zhang and Xu Wang. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.
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.