Wun‐Ching Yu

1.3k citations
7 papers · 1.1k · h-index 7

Impact in

  • Hepatology top 1%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • Cancer, Hypoxia, and Metabolism

Papers in

Wun‐Ching Yu

7 papers receiving 1.1k citations

Peers

Wun‐Ching Yu
Comparison fields: 5 of 60
  • Hepatology 488
  • Cancer Research 197
  • Immunology 141
  • Oncology 163
  • Epidemiology 170
Replace Cecilia Lau with:
Cecilia Lau Hong Kong
Renan Jin China
Tong‐Chun Xue China
M Furutani Japan
Vidya Nallasura United States
Laia Cabellos Spain
Xiutao Fu China
Daimin Xiang China
Zhenggang Ren China
Taiji Yamazoe Japan
Wun‐Ching Yu relative to Cecilia Lau Hong Kong Cecilia Lau's profile →
Citations per field
00.5×1.5×
Cecilia Lau · 1×
Citations per year

Countries citing papers authored by Wun‐Ching Yu

Since Specialization
Citations

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

Fields of papers citing papers by Wun‐Ching Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wun‐Ching Yu. 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 Wun‐Ching Yu. The network helps show where Wun‐Ching Yu may publish in the future.

Co-authors

The 19 scholars most cited alongside Wun‐Ching Yu, 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 Wun‐Ching Yu Line = papers co-authored together Wun‐Ching Yu links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 1997276
2 2002248
3
Quantitative correlation of serum levels and tumor expression of vascular endothelial growth factor in patients with hepatocellular carcinoma.
2003182
4
Interleukin-8 serum levels in patients with hepatocellular carcinoma: correlations with clinicopathological features and prognosis.
2003166
5 2003122
6 2001116
7 199736

About Wun‐Ching Yu

Wun‐Ching Yu is a scholar working on Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience, Oncology and Epidemiology, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Macrophage Migration Inhibitory Factor (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Nuclear Receptors and Signaling (1 paper), Liver Disease and Transplantation (1 paper), Liver Disease Diagnosis and Treatment (1 paper) and Fibroblast Growth Factor Research (1 paper). The work is most often cited by research in Hepatology (488 citations), Cancer Research (197 citations), Immunology (141 citations), Oncology (163 citations) and Epidemiology (170 citations). Wun‐Ching Yu has collaborated with scholars based in Hong Kong, China and Germany. Frequent co-authors include Ronnie Tung‐Ping Poon, Cecilia Lau, Irene Oi‐Lin Ng, John Wong, Kwan Man, S T Fan, C.M. Lo, H Lau, J Wong and ST Cheung. Their work appears in journals such as British journal of surgery, Journal of Clinical Oncology, International Journal of Cancer, The American Journal of Surgery and PubMed.

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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