Zhi Dai
- Molecular Biology top 2%
- Cancer Research top 0.5%
- Oncology top 1%
- Immunology top 2%
- Epidemiology top 5%
- Co-authors
- Jia FanJian ZhouZheng‐Jun ZhouShao‐Lai ZhouXiaowu HuangYing‐Hong ShiZhiqiang HuZhen‐Bin Ding
- Topics
- RNA modifications and cancer (13 papers)Cholangiocarcinoma and Gallbladder Cancer Studies (10 papers)Hepatocellular Carcinoma Treatment and Prognosis (10 papers)
- Cited by
- Cancer ResearchHepatologyImmunology
- Partner nations
- ChinaEthiopiaUnited States
In The Last Decade
Zhi Dai
96 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 2.7k
- Cancer Research 1.9k
- Oncology 1.7k
- Immunology 1.3k
- Epidemiology 719
Countries citing papers authored by Zhi Dai
This map shows the geographic impact of Zhi Dai'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 Zhi Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhi Dai more than expected).
Fields of papers citing papers by Zhi Dai
This network shows the impact of papers produced by Zhi Dai. 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 Zhi Dai. The network helps show where Zhi Dai may publish in the future.
Co-authorship network of co-authors of Zhi Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Zhi Dai. A scholar is included among the top collaborators of Zhi Dai 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 Zhi Dai. Zhi Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | Targeting SRSF10 might inhibit M2 macrophage polarization and potentiate anti‐PD‐1 therapy in hepatocellular carcinomabreakdown → | 71 |
| 4 | 22 | |
| 5 | 29 | |
| 6 | 4 | |
| 7 | 38 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 5 | |
| 11 | 12 | |
| 12 | 17 | |
| 13 | 88 | |
| 14 | 182 | |
| 15 | 100 | |
| 16 | 35 | |
| 17 | The Application of Experimental Design and Optimization Techniques in Optimization of Microbial Medium | 1 |
| 18 | 129 | |
| 19 | 162 | |
| 20 | APPLICATION OF THE PRINCIPAL COMPONENT ANALYSIS TO THE STUDY OF SUSTAINABLE DEVELOPMENT OF THE CITY PRED SYSTEM--A Case Study of the 21 Cities in Guangdong Province | 1 |
About Zhi Dai
Zhi Dai is a scholar working on Cancer Research, Hepatology and Oncology, having authored 97 papers that have together received 5.4k indexed citations. Recurring topics across this work include RNA modifications and cancer (13 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (10 papers) and Hepatocellular Carcinoma Treatment and Prognosis (10 papers). The work is most often cited by research in Cancer Research (1.9k citations), Hepatology (677 citations) and Immunology (1.3k citations). Zhi Dai has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Jia Fan, Jian Zhou, Zheng‐Jun Zhou, Shao‐Lai Zhou, Xiaowu Huang, Ying‐Hong Shi, Zhiqiang Hu, Zhen‐Bin Ding, Zheng Wang and Guo‐Huan Yang. Their work appears in journals such as Journal of Clinical Oncology, Gastroenterology and PLoS ONE.
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.