Kaihong Zhou
- Molecular Biology top 0.5%
- Genetics top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Ecology top 2%
- Plant Science top 5%
- Co-authors
- Jennifer A. DoudnaA.R. Ferré-D′AmaréBlake WiedenheftFuguo JiangMartin JínekIan J. MacRaeJ.H.D. CateJeffrey S. Kieft
- Topics
- RNA and protein synthesis mechanisms (22 papers)CRISPR and Genetic Engineering (12 papers)RNA Research and Splicing (8 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Kaihong Zhou
35 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 7.7k
- Genetics 969
- Cardiology and Cardiovascular Medicine 886
- Ecology 744
- Plant Science 685
Countries citing papers authored by Kaihong Zhou
This map shows the geographic impact of Kaihong Zhou'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 Kaihong Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaihong Zhou more than expected).
Fields of papers citing papers by Kaihong Zhou
This network shows the impact of papers produced by Kaihong Zhou. 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 Kaihong Zhou. The network helps show where Kaihong Zhou may publish in the future.
Co-authorship network of co-authors of Kaihong Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Kaihong Zhou. A scholar is included among the top collaborators of Kaihong Zhou 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 Kaihong Zhou. Kaihong Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 66 | |
| 4 | 4 | |
| 5 | Structures of a CRISPR-Cas9 R-loop complex primed for DNA cleavagebreakdown → | 486 |
| 6 | 89 | |
| 7 | Structures of Cas9 Endonucleases Reveal RNA-Mediated Conformational Activationbreakdown → | 900 |
| 8 | 54 | |
| 9 | 164 | |
| 10 | 60 | |
| 11 | RNA-guided complex from a bacterial immune system enhances target recognition through seed sequence interactionsbreakdown → | 350 |
| 12 | Sequence- and Structure-Specific RNA Processing by a CRISPR Endonucleasebreakdown → | 531 |
| 13 | 199 | |
| 14 | 241 | |
| 15 | 82 | |
| 16 | 215 | |
| 17 | 148 | |
| 18 | 317 | |
| 19 | Crystal structure of a hepatitis delta virus ribozymebreakdown → | 596 |
| 20 | 98 |
About Kaihong Zhou
Kaihong Zhou is a scholar working on Hepatology, Management of Technology and Innovation and Molecular Biology, having authored 35 papers that have together received 8.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (22 papers), CRISPR and Genetic Engineering (12 papers) and RNA Research and Splicing (8 papers). The work is most often cited by research in Business and International Management (424 citations), Aging (241 citations) and Molecular Biology (7.7k citations). Kaihong Zhou has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Jennifer A. Doudna, A.R. Ferré-D′Amaré, Blake Wiedenheft, Fuguo Jiang, Martin Jínek, Ian J. MacRae, J.H.D. Cate, Jeffrey S. Kieft, Eva Nogales and Anne R. Gooding. Their work appears in journals such as Nature, Science 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.