Haizhen Wang
- Molecular Biology top 10%
- Oncology top 5%
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 5%
- Immunology top 10%
- Co-authors
- Xueliang GaoZhi‐Ren LiuXiaowei LiuJenny YangJianming XuLiquan ZhangYan GengPiotr Siciński
- Topics
- Shape Memory Alloy Transformations (8 papers)Pesticide and Herbicide Environmental Studies (8 papers)Soil Carbon and Nitrogen Dynamics (6 papers)
- Cited by
- Cancer ResearchOncologyPollution
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Haizhen Wang
44 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 1.2k
- Oncology 793
- Cancer Research 637
- Pulmonary and Respiratory Medicine 432
- Immunology 360
Countries citing papers authored by Haizhen Wang
This map shows the geographic impact of Haizhen Wang'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 Haizhen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haizhen Wang more than expected).
Fields of papers citing papers by Haizhen Wang
This network shows the impact of papers produced by Haizhen Wang. 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 Haizhen Wang. The network helps show where Haizhen Wang may publish in the future.
Co-authorship network of co-authors of Haizhen Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Haizhen Wang. A scholar is included among the top collaborators of Haizhen Wang 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 Haizhen Wang. Haizhen Wang 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 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 9 | |
| 8 | Efficacy comparison of restrictive versus massive fluid resuscitation in patients with traumatic hemorrhagic shock | 3 |
| 9 | 28 | |
| 10 | 144 | |
| 11 | Cyclin D–CDK4 kinase destabilizes PD-L1 via cullin 3–SPOP to control cancer immune surveillancebreakdown → | 736 |
| 12 | 33 | |
| 13 | 58 | |
| 14 | Pyruvate Kinase M2 Regulates Gene Transcription by Acting as a Protein Kinasebreakdown → | 611 |
| 15 | 44 | |
| 16 | 21 | |
| 17 | 29 | |
| 18 | 7 | |
| 19 | 66 | |
| 20 | 66 |
About Haizhen Wang
Haizhen Wang is a scholar working on Pollution, Soil Science and Health, Toxicology and Mutagenesis, having authored 51 papers that have together received 2.8k indexed citations. Recurring topics across this work include Shape Memory Alloy Transformations (8 papers), Pesticide and Herbicide Environmental Studies (8 papers) and Soil Carbon and Nitrogen Dynamics (6 papers). The work is most often cited by research in Cancer Research (637 citations), Oncology (793 citations) and Pollution (278 citations). Haizhen Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xueliang Gao, Zhi‐Ren Liu, Xiaowei Liu, Jenny Yang, Jianming Xu, Liquan Zhang, Yan Geng, Piotr Siciński, Gustavo Leone and Yinghao Sun. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.