King L. Hung
Impact in
- Aging top 10%
Papers in
-
- CRISPR and Genetic Engineering 8
- Pluripotent Stem Cells Research 2
- RNA Interference and Gene Delivery 2
- Genomics and Chromatin Dynamics 2
- Advanced biosensing and bioanalysis techniques 2
-
- Cancer Genomics and Diagnostics 4
- Co-authors
- Howard Y. Chang (8 shared papers)Chen Jin (1 shared paper)Volker Hovestadt (1 shared paper)Joseph M. Replogle (1 shared paper)Martin Kampmann (1 shared paper)Manuel D. Leonetti (1 shared paper)J. Zachery Cogan (1 shared paper)Avi J. Samelson (1 shared paper)
- Journals
- Molecular Therapy (3 papers)Nature Communications (2 papers)Nature Structural & Molecular Biology (1 paper)Nature (1 paper)Cell (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
King L. Hung
12 papers receiving 740 citations
King L. Hung's Hit Papers
Peers
Comparison fields: 5 of 68
- Aging 35
- Business and International Management 24
- Molecular Biology 599
- Genetics 176
- Cancer Research 77
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 | 471 |
| 2 | 2017 | 100 | |
| 3 | 2015 | 42 | |
| 4 | 2023 | 39 | |
| 5 | 2022 | 33 | |
| 6 | 2022 | 27 | |
| 7 | 2024 | 15 | |
| 8 | 2024 | 14 | |
| 9 | 2016 | 5 | |
| 10 | 2025 | 4 | |
| 11 | 2025 | 2 | |
| 12 | 2016 | 1 | |
| 13 | 2026 | 0 | |
| 14 | 2024 | 0 |
About King L. Hung
King L. Hung is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Surgery, having authored 14 papers that have together received 753 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Cancer Genomics and Diagnostics (4 papers), Pluripotent Stem Cells Research (2 papers), RNA Interference and Gene Delivery (2 papers), Genomics and Chromatin Dynamics (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), CAR-T cell therapy research (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Aging (35 citations), Business and International Management (24 citations), Molecular Biology (599 citations), Genetics (176 citations) and Cancer Research (77 citations). King L. Hung has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Howard Y. Chang, Chen Jin, Volker Hovestadt, Joseph M. Replogle, Martin Kampmann, Manuel D. Leonetti, J. Zachery Cogan, Avi J. Samelson, B Bernstein and Carmen Adriaens. Their work appears in journals such as Molecular Therapy, Nature Communications, Nature Structural & Molecular Biology, Nature 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.