Haizhen Wang

3.9k citations
51 papers · 2.8k indexed · 2 hit papers · h-index 22

Haizhen Wang

44 papers receiving 2.8k citations

Hit Papers

Cyclin D–CDK4 kinase destabilizes PD-L1 via cullin 3–SPO...7362012202620162021200400600

Peers

Haizhen Wang
Comparison fields: 5 of 136
  • Cancer Research 637
  • Oncology 793
  • Pollution 278
  • Energy Engineering and Power Technology 53
  • Immunology 360
Replace Chien‐Hung Chen with:
Chien‐Hung Chen Taiwan
Jing Yang China
Fang Dong China
Dapeng Wang China
Makoto Hirata Japan
Takeki Tsutsui Japan
Shuning Wang China
Zhaoyun Liu China
Han Chen China
Haizhen Wang relative to Chien‐Hung Chen Taiwan Chien‐Hung Chen's profile →
Citations per field
00.5×3.5×
Chien‐Hung Chen · 1×
Citations per year

Countries citing papers authored by Haizhen Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Haizhen Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Haizhen Wang Line = papers co-authored together Haizhen Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20243
5 20231
6 202310
7 20239
8
Efficacy comparison of restrictive versus massive fluid resuscitation in patients with traumatic hemorrhagic shock
20223
9 202128
10 2020144
11
Cyclin D–CDK4 kinase destabilizes PD-L1 via cullin 3–SPOP to control cancer immune surveillancebreakdown →
2017736
12 201333
13 201358
14
Pyruvate Kinase M2 Regulates Gene Transcription by Acting as a Protein Kinasebreakdown →
2012611
15 201144
16 201121
17 200929
18 20097
19 200666
20 200666

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), Soil Carbon and Nitrogen Dynamics (6 papers), Toxic Organic Pollutants Impact (5 papers), Titanium Alloys Microstructure and Properties (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Microbial bioremediation and biosurfactants (5 papers) and High Entropy Alloys Studies (4 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.

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