Guang‐Shun Yang

1.1k citations
12 papers · 927 indexed · 1 hit paper · h-index 8
Topics
Hepatocellular Carcinoma Treatment and Prognosis (2 papers)Liver Disease Diagnosis and Treatment (2 papers)Cancer-related molecular mechanisms research (2 papers)
Partner nations
ChinaUnited States

In The Last Decade

Guang‐Shun Yang

9 papers receiving 915 citations

Hit Papers

Long noncoding RNA high expression in hepatocellular carc...20112026201620212011100200300400500

Peers

Guang‐Shun Yang
Comparison fields: 5 of 77
  • Molecular Biology 618
  • Cancer Research 581
  • Hepatology 163
  • Epidemiology 162
  • Surgery 109
Replace Kwong‐Fai Wong with:
Kwong‐Fai Wong Hong Kong
Yunjin Zang China
Katrin Panzitt Austria
Yang Cheng China
Guiyu Lou China
Wenyue Zhuang China
Qian Yan China
Zhizhen Dong China
Zhao Tang China
Hyuk Moon South Korea
Guang‐Shun Yang relative to Kwong‐Fai Wong Hong Kong Kwong‐Fai Wong's profile →
Citations per field
00.5×1.5×2.4×
Kwong‐Fai Wong · 1×
Citations per year

Countries citing papers authored by Guang‐Shun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guang‐Shun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang‐Shun Yang. 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 Guang‐Shun Yang. The network helps show where Guang‐Shun Yang may publish in the future.

Co-authorship network of co-authors of Guang‐Shun Yang

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 30
3 23
4 25
5 4
6 110
7
Long noncoding RNA high expression in hepatocellular carcinoma facilitates tumor growth through enhancer of zeste homolog 2 in humansbreakdown →
563
8 12
9 152
10 0
11 7
12
[The in vivo antitumor activity of murine liver tumor vaccine expressing MIP-1alpha].
0

About Guang‐Shun Yang

Guang‐Shun Yang is a scholar working on Hepatology, Cancer Research and Complementary and alternative medicine, having authored 12 papers that have together received 927 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (581 citations), Hepatology (163 citations) and Molecular Biology (618 citations). Guang‐Shun Yang has collaborated with scholars based in China and United States. Frequent co-authors include Nan Zhu, Xisong Huo, Yu‐Zhao Wang, Shuhan Sun, Ji‐hang Yuan, Ling Zhang, Fu Yang, Chunfang Gao, Weiping Zhou and Shengxian Yuan. Their work appears in journals such as Hepatology, Molecules and World Journal of Gastroenterology.

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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