Shufa Yang

458 citations
6 papers · 77 · h-index 4

Impact in

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 6
    • Hepatitis B Virus Studies 2
    • Liver Disease Diagnosis and Treatment 1

Shufa Yang

6 papers receiving 75 citations

Peers

Shufa Yang
Comparison fields: 5 of 21
  • Hepatology 56
  • Pathology and Forensic Medicine 19
  • Cancer Research 14
  • Epidemiology 30
  • Cell Biology 9
Replace Carmen Álvarez‐Navascués with:
Carmen Álvarez‐Navascués Spain
Xuetao Shi China
Jigjidsuren Chinburen Mongolia
Uta Dahmen Germany
Jonathan W. Fawcett Taiwan
Danny Orabi United States
Yehia I. Abugabal United States
Hansen Dang Vietnam
Liqun Wu China
Kirsty Lloyd United Kingdom
Shufa Yang relative to Carmen Álvarez‐Navascués Spain Carmen Álvarez‐Navascués's profile →
Citations per field
00.5×
Carmen Álvarez‐Navascués · 1×
Citations per year

Countries citing papers authored by Shufa Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shufa Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Shufa Yang, 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 Shufa Yang Line = papers co-authored together Shufa Yang links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 201459
2 20166
3
Metronomic S-1 chemotherapy plus transcatheter arterial chemoembolization (TACE): a promising treatment of hepatocellular carcinoma refractory to TACE.
20175
4 20173
5 20153
6
S-1 plus sorafenib for the treatment of advanced hepatocellular carcinoma.
20171

About Shufa Yang

Shufa Yang is a scholar working on Hepatology, Epidemiology, Surgery, Pathology and Forensic Medicine and Oncology, having authored 6 papers that have together received 77 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Hepatitis B Virus Studies (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Cancer Mechanisms and Therapy (2 papers), Colorectal Cancer Treatments and Studies (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Lung Cancer Treatments and Mutations (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Hepatology (56 citations), Pathology and Forensic Medicine (19 citations), Cancer Research (14 citations), Epidemiology (30 citations) and Cell Biology (9 citations). Shufa Yang has collaborated with scholars based in China. Frequent co-authors include Xilin Du, Xiao Qin, Chenyang Guo, Xiaobin Feng, Ruocai Xu, Zhiming Wang, Hongzhi Zhao, Kuansheng Ma, Jun Xu and Tianqi Liu. Their work appears in journals such as The American Journal of Gastroenterology, Współczesna Onkologia, PubMed and Oncology and Translational Medicine.

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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