Guang-Shun Yang
- Molecular Biology top 5%
- Cancer Research top 1%
- Surgery top 5%
- Hepatology top 1%
- Epidemiology top 10%
- Co-authors
- Ning YangShuhan SunJinzhao MaChuanchuan ZhouFeng LiuFang WangWei PanShaobing Wang
- Topics
- Hepatocellular Carcinoma Treatment and Prognosis (12 papers)Cholangiocarcinoma and Gallbladder Cancer Studies (11 papers)Organ Transplantation Techniques and Outcomes (8 papers)
- Journals
- HepatologyCancer CellCancer
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Guang-Shun Yang
50 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 1.5k
- Cancer Research 1.4k
- Surgery 680
- Hepatology 571
- Epidemiology 390
Countries citing papers authored by Guang-Shun Yang
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 8 | |
| 3 | 32 | |
| 4 | 36 | |
| 5 | 29 | |
| 6 | A Long Noncoding RNA Activated by TGF-β Promotes the Invasion-Metastasis Cascade in Hepatocellular Carcinomabreakdown → | 1279 |
| 7 | 1 | |
| 8 | 29 | |
| 9 | 15 | |
| 10 | 35 | |
| 11 | 24 | |
| 12 | 25 | |
| 13 | 69 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 87 | |
| 17 | 11 | |
| 18 | 103 | |
| 19 | [The effect of postoperative transcatheter hepatic arterial chemoembolization on disease-free survival after hepatectomy for hepatocellular carcinoma]. | 1 |
| 20 | 96 |
About Guang-Shun Yang
Guang-Shun Yang is a scholar working on Hepatology, Cancer Research and Surgery, having authored 50 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (12 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (11 papers) and Organ Transplantation Techniques and Outcomes (8 papers). The work is most often cited by research in Cancer Research (1.4k citations), Hepatology (571 citations) and Molecular Biology (1.5k citations). Guang-Shun Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ning Yang, Shuhan Sun, Jinzhao Ma, Chuanchuan Zhou, Feng Liu, Fang Wang, Wei Pan, Shaobing Wang, Fu Yang and Yingjun Guo. Their work appears in journals such as Hepatology, Cancer Cell and Cancer.
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.