Jen-Fu Yang

425 citations
20 papers · 277 · h-index 11

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
  • Radiation top 10%
    • Advanced Radiotherapy Techniques

Papers in

    • Cholangiocarcinoma and Gallbladder Cancer Studies 7
    • Hepatocellular Carcinoma Treatment and Prognosis 9

Jen-Fu Yang

19 papers receiving 274 citations

Peers

Jen-Fu Yang
Comparison fields: 5 of 43
  • Hepatology 155
  • Radiation 43
  • Cancer Research 46
  • Oncology 74
  • Pulmonary and Respiratory Medicine 86
Replace Hee Rim Nam with:
Hee Rim Nam South Korea
Jennifer A. Shannon Australia
Ermanno Notarianni Italy
Jaarke Vannoote Belgium
A Little Australia
P Hilgard Germany
Sonia Sahu United States
Woo Jin Lee South Korea
Kunli Zhu China
H. Jarraya France
Jen-Fu Yang relative to Hee Rim Nam South Korea Hee Rim Nam's profile →
Citations per field
00.5×7.2×
Hee Rim Nam · 1×
Citations per year

Countries citing papers authored by Jen-Fu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jen-Fu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jen-Fu 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 Jen-Fu Yang Line = papers co-authored together Jen-Fu Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201958
2 201731
3 202127
4 201927
5 201721
6 201719
7 202113
8 201913
9 201612
10 202211
11 202110
12 20179
13 20178
14 20215
15 20224
16 20224
17 20223
18 20241
19 20211
20 20250

About Jen-Fu Yang

Jen-Fu Yang is a scholar working on Surgery, Hepatology, Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 277 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Lung Cancer Diagnosis and Treatment (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Epigenetics and DNA Methylation (2 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Hepatology (155 citations), Radiation (43 citations), Cancer Research (46 citations), Oncology (74 citations) and Pulmonary and Respiratory Medicine (86 citations). Jen-Fu Yang has collaborated with scholars based in Taiwan, United Kingdom and Japan. Frequent co-authors include Wen‐Yen Huang, Cheng‐Hsiang Lo, Chun‐Shu Lin, Hsing‐Lung Chao, Meei‐Shyuan Lee, Wei‐Chou Chang, Yee‐Min Jen, Yu–Fu Su, Ching‐Liang Ho and Jia-Hong Chen. Their work appears in journals such as PLoS ONE, International Journal of Radiation Oncology*Biology*Physics, Scientific Reports, Radiation Oncology and 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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