Chengzhi Wang

1.2k citations
27 papers · 815 indexed · 1 hit paper · h-index 12

Chengzhi Wang

26 papers receiving 776 citations

Hit Papers

The epidemiology and clinical information about COVID-194402020202620222024100200300400

Peers

Chengzhi Wang
Comparison fields: 5 of 126
  • Infectious Diseases 243
  • Modeling and Simulation 37
  • Neurology 112
  • Biotechnology 47
  • General Dentistry 8
Replace Elham Bahreini with:
Elham Bahreini Iran
Hye-Jin Shin South Korea
Shasha Hu China
Yung‐Hung Luo Taiwan
Hadi Esmaeili Gouvarchin Ghaleh Iran
Τaxiarchis Κonstantinos Νikolouzakis Greece
Shweta Jakhmola India
Hossein Nikzad Iran
Xinghua Long China
Chengzhi Wang relative to Elham Bahreini Iran Elham Bahreini's profile →
Citations per field
00.5×4.0×
Elham Bahreini · 1×
Citations per year

Countries citing papers authored by Chengzhi Wang

Since Specialization
Citations

This map shows the geographic impact of Chengzhi 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 Chengzhi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengzhi Wang more than expected).

Fields of papers citing papers by Chengzhi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chengzhi 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 Chengzhi Wang. The network helps show where Chengzhi Wang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Chengzhi 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 Chengzhi Wang Line = papers co-authored together Chengzhi Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20256
3 20234
4 20237
5 20233
6 20233
7 20228
8 202126
9 20206
10 20201
11
The epidemiology and clinical information about COVID-19breakdown →
2020440
12 20199
13 201816
14 201835
15 201824
16 201634
17 201216
18 201049
19
[Isolation and identification of minor bioactive saponins from the leaves of Panax notoginseng].
20046
20 19861

About Chengzhi Wang

Chengzhi Wang is a scholar working on Toxicology, Cancer Research and Physiology, having authored 27 papers that have together received 815 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related molecular mechanisms research (2 papers), Cancer-related Molecular Pathways (2 papers), Phytoestrogen effects and research (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Infectious Diseases (243 citations), Modeling and Simulation (37 citations) and Neurology (112 citations). Chengzhi Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiangcheng Xiao, Xiufen Wang, Xiangning Yuan, Tianci Deng, Qiongjing Yuan, Huipeng Ge, Gong Xiao, A. Eisenstark, Bing Zhu and Yiming Mu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and The Science of The Total Environment.

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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