King L. Hung
Impact in
- Aging top 10%
Papers in
-
- CRISPR and Genetic Engineering 8
- Advanced biosensing and bioanalysis techniques 2
- Genomics and Chromatin Dynamics 2
- RNA Interference and Gene Delivery 2
- Pluripotent Stem Cells Research 2
-
- Cancer Genomics and Diagnostics 4
- Co-authors
- Howard Y. Chang (8 shared papers)Manuel D. Leonetti (1 shared paper)Gokul N. Ramadoss (1 shared paper)Chen Jin (1 shared paper)Angela N. Pogson (1 shared paper)Volker Hovestadt (1 shared paper)Luke A. Gilbert (1 shared paper)Joseph M. Replogle (1 shared paper)
- Journals
- Molecular Therapy (3 papers)Nature Communications (2 papers)Nature Cell Biology (1 paper)Nature Structural & Molecular Biology (1 paper)Development (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
King L. Hung
12 papers receiving 681 citations
King L. Hung's Hit Papers
Peers
Comparison fields: 5 of 63
- Aging 36
- Business and International Management 23
- Molecular Biology 588
- Genetics 169
- Cancer Research 78
Countries citing papers authored by King L. Hung
This map shows the geographic impact of King L. Hung'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 King L. Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites King L. Hung more than expected).
Fields of papers citing papers by King L. Hung
This network shows the impact of papers produced by King L. Hung. 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 King L. Hung. The network helps show where King L. Hung may publish in the future.
Co-authors
The 25 scholars most cited alongside King L. Hung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Genome-wide programmable transcriptional memory by CRISPR-based epigenome editing Hit paper breakdown → | 2021 | 433 |
| 2 | 2017 | 99 | |
| 3 | 2015 | 42 | |
| 4 | 2023 | 31 | |
| 5 | 2022 | 28 | |
| 6 | 2022 | 26 | |
| 7 | 2024 | 14 | |
| 8 | 2024 | 10 | |
| 9 | 2016 | 5 | |
| 10 | 2025 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2016 | 1 | |
| 13 | 2024 | 0 |
About King L. Hung
King L. Hung is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Surgery, having authored 13 papers that have together received 692 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Cancer Genomics and Diagnostics (4 papers), Advanced biosensing and bioanalysis techniques (2 papers), Virus-based gene therapy research (2 papers), Genomics and Chromatin Dynamics (2 papers), CAR-T cell therapy research (2 papers), RNA Interference and Gene Delivery (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Aging (36 citations), Business and International Management (23 citations), Molecular Biology (588 citations), Genetics (169 citations) and Cancer Research (78 citations). King L. Hung has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Howard Y. Chang, Manuel D. Leonetti, Gokul N. Ramadoss, Chen Jin, Angela N. Pogson, Volker Hovestadt, Luke A. Gilbert, Joseph M. Replogle, Avi J. Samelson and Amanda G. Chung. Their work appears in journals such as Molecular Therapy, Nature Communications, Nature Cell Biology, Nature Structural & Molecular Biology and Development.
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.