Chun‐Hua Wang

592 total citations
20 papers, 413 citations indexed

About

Chun‐Hua Wang is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Chun‐Hua Wang has authored 20 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cancer Research, 10 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Chun‐Hua Wang's work include Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (5 papers) and RNA Research and Splicing (5 papers). Chun‐Hua Wang is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (5 papers) and RNA Research and Splicing (5 papers). Chun‐Hua Wang collaborates with scholars based in China, United States and Hong Kong. Chun‐Hua Wang's co-authors include Lili Liu, Yang Xia, Huiling Yang, Jing‐Ping Yun, Jing‐Ping Yun, Sumei Wang, Dujuan Wang, Yangfan He, Qin Liu and Song‐sheng Shi and has published in prestigious journals such as Hepatology, Oncogene and Cancer Letters.

In The Last Decade

Chun‐Hua Wang

19 papers receiving 408 citations

Peers

Chun‐Hua Wang
Comparison fields: 5 of 70
  • Molecular Biology 223
  • Cancer Research 129
  • Oncology 126
  • Immunology 72
  • Pulmonary and Respiratory Medicine 49
Replace Sampa Ghose with:
Sampa Ghose India
Zhuonan Zhuang China
Xinbao Zhao China
Diana Becker Germany
Snahlata Singh India
Xianli He China
Timothy Wai Ho Shuen Singapore
Shaoyong Peng China
Chengdong Qin China
Qianggang Dong China
Sampa Ghose India View profile →
Citations per field, relative to Chun‐Hua Wang
Chun‐Hua Wang · 1×
Citations per year, relative to Chun‐Hua Wang
Chun‐Hua Wang · 1×

Countries citing papers authored by Chun‐Hua Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Hua Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun‐Hua Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Hua Wang. A scholar is included among the top collaborators of Chun‐Hua 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 Chun‐Hua Wang. Chun‐Hua Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 7
3 15
4 18
5 19
6 46
7 9
8 52
9 11
10 62
11 5
12 15
13 15
14 13
15 34
16 13
17 33
18 29
19
[The expression of matrix metalloproteinase-2,9 on atherosclerosis in experimental rats by treatment of 2,3,4',5-tetrahydroxystilbene -2-0-beta-D glucoside].
3
20 14

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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