Ling Zhai
Impact in
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Histone Deacetylase Inhibitors Research
- RNA modifications and cancer
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
-
- Epigenetics and DNA Methylation 7
- Ubiquitin and proteasome pathways 7
- Advanced biosensing and bioanalysis techniques 3
- Histone Deacetylase Inhibitors Research 3
- Cancer-related gene regulation 3
- Genomics and Chromatin Dynamics 3
- Protein Structure and Dynamics 2
-
- Microtubule and mitosis dynamics 3
- Co-authors
- Hengbin WangHediye Erdjument‐BromagePaul TempstSarah JacksonYi ZhangJun XuYue XiongChunying Yang
- Journals
- Cancer Research (3 papers)Biochemical Journal (2 papers)Photochemistry and Photobiology (2 papers)Journal of Biological Chemistry (2 papers)SLAS DISCOVERY (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Ling Zhai
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 1.0k
- Cell Biology 178
- Oncology 233
- Aging 13
- Cancer Research 93
Countries citing papers authored by Ling Zhai
This map shows the geographic impact of Ling Zhai'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 Ling Zhai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Zhai more than expected).
Fields of papers citing papers by Ling Zhai
This network shows the impact of papers produced by Ling Zhai. 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 Ling Zhai. The network helps show where Ling Zhai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ling Zhai, 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 | 2024 | 1 | |
| 2 | 2022 | 5 | |
| 3 | 2020 | 2 | |
| 4 | 2019 | 11 | |
| 5 | 2016 | 37 | |
| 6 | 2015 | 83 | |
| 7 | 2014 | 33 | |
| 8 | 2013 | 11 | |
| 9 | 2011 | 29 | |
| 10 | 2011 | 3 | |
| 11 | 2010 | 93 | |
| 12 | 2010 | 24 | |
| 13 | 2009 | 4 | |
| 14 | Role of H2A deubiquitination in cell cycle progression and Hox gene expression | 2007 | 2 |
| 15 | 2007 | 247 | |
| 16 | 2006 | 401 | |
| 17 | 2006 | 65 | |
| 18 | 2005 | 47 | |
| 19 | 2004 | 2 | |
| 20 | 2004 | 4 |
About Ling Zhai
Ling Zhai is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Oncology and Media Technology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Ubiquitin and proteasome pathways (7 papers), Microtubule and mitosis dynamics (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Cancer-related gene regulation (3 papers), Genomics and Chromatin Dynamics (3 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Cell Biology (178 citations), Oncology (233 citations), Aging (13 citations) and Cancer Research (93 citations). Ling Zhai has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Hengbin Wang, Hediye Erdjument‐Bromage, Paul Tempst, Sarah Jackson, Yi Zhang, Jun Xu, Yue Xiong, Chunying Yang, Chenbei Chang and Shuyi Nie. Their work appears in journals such as Cancer Research, Biochemical Journal, Photochemistry and Photobiology, Journal of Biological Chemistry and SLAS DISCOVERY.
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.