J. Keith Joung
- Molecular Biology top 0.02%
- Genetics top 0.05%
- Plant Science top 0.2%
- Business and International Management top 0.01%
- Aging top 0.05%
- Co-authors
- Jeffry D. SanderShengdar Q. TsaiDeepak ReyonMorgan L. MaederYanfang FuCyd KhayterBenjamin P. KleinstiverNathalie T. Nguyen
- Topics
- CRISPR and Genetic Engineering (109 papers)Advanced biosensing and bioanalysis techniques (52 papers)RNA and protein synthesis mechanisms (42 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
J. Keith Joung
154 papers receiving 36.5k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Molecular Biology 33.2k
- Genetics 8.3k
- Plant Science 4.3k
- Business and International Management 3.1k
- Aging 2.1k
Countries citing papers authored by J. Keith Joung
This map shows the geographic impact of J. Keith Joung'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 J. Keith Joung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Keith Joung more than expected).
Fields of papers citing papers by J. Keith Joung
This network shows the impact of papers produced by J. Keith Joung. 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 J. Keith Joung. The network helps show where J. Keith Joung may publish in the future.
Co-authorship network of co-authors of J. Keith Joung
This figure shows the co-authorship network connecting the top 25 collaborators of J. Keith Joung. A scholar is included among the top collaborators of J. Keith Joung 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 J. Keith Joung. J. Keith Joung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 28 | |
| 3 | 90 | |
| 4 | 23 | |
| 5 | 46 | |
| 6 | 29 | |
| 7 | 18 | |
| 8 | 205 | |
| 9 | 110 | |
| 10 | Allele-specific gene disruption through discrimination of a single base change by S. aureus Cas9-KKH prevents progressive hearing loss after AAV-mediated gene delivery | 1 |
| 11 | Gene therapy comes of agebreakdown → | 993 |
| 12 | 192 | |
| 13 | 357 | |
| 14 | Toddler: An Embryonic Signal That Promotes Cell Movement via Apelin Receptorsbreakdown → | 484 |
| 15 | 125 | |
| 16 | 26 | |
| 17 | 11 | |
| 18 | 269 | |
| 19 | 111 | |
| 20 | Licorice Induced Hypokalemia. | 4 |
About J. Keith Joung
J. Keith Joung is a scholar working on Business and International Management, Aging and Molecular Biology, having authored 155 papers that have together received 37.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (109 papers), Advanced biosensing and bioanalysis techniques (52 papers) and RNA and protein synthesis mechanisms (42 papers). The work is most often cited by research in Business and International Management (3.1k citations), Aging (2.1k citations) and Molecular Biology (33.2k citations). J. Keith Joung has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Jeffry D. Sander, Shengdar Q. Tsai, Deepak Reyon, Morgan L. Maeder, Yanfang Fu, Cyd Khayter, Benjamin P. Kleinstiver, Nathalie T. Nguyen, Martin J. Aryee and Zongli Zheng. Their work appears in journals such as Nature, Science and Cell.
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.