Ailong Ke
Impact in
- Aging top 5%
Papers in
-
- RNA and protein synthesis mechanisms 52
- CRISPR and Genetic Engineering 30
- RNA modifications and cancer 17
- RNA Research and Splicing 13
- RNA regulation and disease 9
- Advanced biosensing and bioanalysis techniques 7
- Genetics 17
- Bacterial Genetics and Biotechnology 16
- Co-authors
- Fang Ding (13 shared papers)Ki Hyun Nam (12 shared papers)Yibei Xiao (10 shared papers)Jennifer A. Doudna (6 shared papers)J.C. Grigg (9 shared papers)Kanagalaghatta R. Rajashankar (4 shared papers)Matthew P. DeLisa (5 shared papers)Ian R. Price (7 shared papers)
- Journals
- Molecular Cell (7 papers)Science (6 papers)Nature Structural & Molecular Biology (6 papers)Cell (4 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Ailong Ke
65 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 97
- Business and International Management 190
- Aging 84
- Molecular Biology 3.2k
- Structural Biology 40
- Endocrinology 138
Countries citing papers authored by Ailong Ke
This map shows the geographic impact of Ailong Ke'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 Ailong Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ailong Ke more than expected).
Fields of papers citing papers by Ailong Ke
This network shows the impact of papers produced by Ailong Ke. 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 Ailong Ke. The network helps show where Ailong Ke may publish in the future.
Co-authors
The 25 scholars most cited alongside Ailong Ke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 216 | |
| 2 | 2012 | 161 | |
| 3 | 2017 | 155 | |
| 4 | 2016 | 145 | |
| 5 | 2014 | 143 | |
| 6 | 2008 | 137 | |
| 7 | 2004 | 125 | |
| 8 | 2019 | 122 | |
| 9 | 2011 | 119 | |
| 10 | 2015 | 104 | |
| 11 | 2017 | 103 | |
| 12 | 2018 | 99 | |
| 13 | 2010 | 99 | |
| 14 | 2007 | 88 | |
| 15 | 2010 | 81 | |
| 16 | 2017 | 77 | |
| 17 | 2022 | 72 | |
| 18 | 2012 | 71 | |
| 19 | 2018 | 69 | |
| 20 | 2011 | 67 |
About Ailong Ke
Ailong Ke is a scholar working on Molecular Biology, Genetics, Ecology, Insect Science and Epidemiology, having authored 67 papers that have together received 3.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (52 papers), CRISPR and Genetic Engineering (30 papers), RNA modifications and cancer (17 papers), Bacterial Genetics and Biotechnology (16 papers), RNA Research and Splicing (13 papers), RNA regulation and disease (9 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Bacteriophages and microbial interactions (7 papers). The work is most often cited by research in Business and International Management (190 citations), Aging (84 citations), Molecular Biology (3.2k citations), Structural Biology (40 citations) and Endocrinology (138 citations). Ailong Ke has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Fang Ding, Ki Hyun Nam, Yibei Xiao, Jennifer A. Doudna, J.C. Grigg, Kanagalaghatta R. Rajashankar, Matthew P. DeLisa, Ian R. Price, Changrui Lu and Charles H. Haitjema. Their work appears in journals such as Molecular Cell, Science, Nature Structural & Molecular Biology, Cell and Proceedings of the National Academy of Sciences.
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.