Ling‐Yu Chu

417 citations
31 papers · 233 · h-index 9

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

    • Esophageal Cancer Research and Treatment 10
    • Inflammatory Biomarkers in Disease Prognosis 5

Ling‐Yu Chu

28 papers receiving 233 citations

Peers

Ling‐Yu Chu
Comparison fields: 5 of 42
  • Cancer Research 42
  • Oncology 64
  • Otorhinolaryngology 6
  • Endocrinology, Diabetes and Metabolism 19
  • Pulmonary and Respiratory Medicine 36
Replace Ramón Manuel Lago‐Lestón with:
Ramón Manuel Lago‐Lestón Spain
In Gu South Korea
Shanghua Jing China
Markus Klemke Germany
Fiorita Poulakaki Greece
Toru Yanoma Japan
Shuli Tang China
Zenan Zheng China
G. Hommel Germany
Qunxiong Pan China
Ling‐Yu Chu relative to Ramón Manuel Lago‐Lestón Spain Ramón Manuel Lago‐Lestón's profile →
Citations per field
00.5×1.6×
Ramón Manuel Lago‐Lestón · 1×
Citations per year

Countries citing papers authored by Ling‐Yu Chu

Since Specialization
Citations

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

Fields of papers citing papers by Ling‐Yu Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ling‐Yu Chu, 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 Ling‐Yu Chu Line = papers co-authored together Ling‐Yu Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202054
2 201922
3 202020
4 201916
5 202114
6 202110
7 20208
8 20218
9 20218
10 20208
11 20227
12 20246
13 20196
14 20226
15 20245
16 20234
17 20234
18 20224
19 20204
20 20233

About Ling‐Yu Chu

Ling‐Yu Chu is a scholar working on Surgery, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 31 papers that have together received 233 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (10 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers), Gastric Cancer Management and Outcomes (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Head and Neck Cancer Studies (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Cancer-related gene regulation (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (42 citations), Oncology (64 citations), Otorhinolaryngology (6 citations), Endocrinology, Diabetes and Metabolism (19 citations) and Pulmonary and Respiratory Medicine (36 citations). Ling‐Yu Chu has collaborated with scholars based in China and India. Frequent co-authors include Yi‐Wei Xu, Yu‐Hui Peng, Jian‐Jun Xie, Chao‐Qun Hong, Xinyi Huang, Dongming Guo, Hao Chen, Wei Li, Haipeng Guo and Li‐Yan Xu. Their work appears in journals such as Journal of Cancer, Scientific Reports, Cancer Management and Research, Frontiers in Oncology and Technology in Cancer Research & Treatment.

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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