Yuan-Chieh Ku

991 citations
8 papers · 828 · 1 hit paper · h-index 8

Impact in

Papers in

Yuan-Chieh Ku

8 papers receiving 813 citations

Yuan-Chieh Ku's Hit Papers

High Frequency of Epidermal Growth Factor Receptor Mutations with Complex Patterns in Non–Small Cell Lung Cancers Related to Gefitinib Responsiveness in Taiwan 2004 · 476 citations
4760+7+14Years since publication100200300400

Peers

Yuan-Chieh Ku
Comparison fields: 5 of 64
  • Sensory Systems 109
  • Pulmonary and Respiratory Medicine 475
  • Cancer Research 168
  • Oncology 274
  • Molecular Biology 254
Replace Louise H. Williams with:
Louise H. Williams Australia
John C. Ambrose United Kingdom
Michael P. Schnetz United States
Kenna M. Shaw United States
Saleh Khawaled Israel
Thomas W. Bebee United States
Erin L. Wuebben United States
Kathy Williamson United Kingdom
Hung C. Tran United States
Cong Ran United States
Yuan-Chieh Ku relative to Louise H. Williams Australia Louise H. Williams's profile →
Citations per field
00.5×10×16.4×
Louise H. Williams · 1×
Citations per year

Countries citing papers authored by Yuan-Chieh Ku

Since Specialization
Citations

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

Fields of papers citing papers by Yuan-Chieh Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan-Chieh Ku. 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 Yuan-Chieh Ku. The network helps show where Yuan-Chieh Ku may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
High Frequency of Epidermal Growth Factor Receptor Mutations with Complex Patterns in Non–Small Cell Lung Cancers Related to Gefitinib Responsiveness in Taiwan
Hit paper breakdown →
2004476
2 201587
3 200669
4 201467
5 201438
6 201237
7 201228
8 201126

About Yuan-Chieh Ku

Yuan-Chieh Ku is a scholar working on Molecular Biology, Sensory Systems, Cancer Research, Pulmonary and Respiratory Medicine and Ecology, having authored 8 papers that have together received 828 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (3 papers), MicroRNA in disease regulation (2 papers), Lung Cancer Treatments and Mutations (2 papers), Developmental Biology and Gene Regulation (2 papers), RNA Research and Splicing (1 paper), Marine animal studies overview (1 paper), Galectins and Cancer Biology (1 paper) and Antimicrobial Peptides and Activities (1 paper). The work is most often cited by research in Sensory Systems (109 citations), Pulmonary and Respiratory Medicine (475 citations), Cancer Research (168 citations), Oncology (274 citations) and Molecular Biology (254 citations). Yuan-Chieh Ku has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Han-Pin Kuo, Hui-Ping Liu, W.C. Chang, Ya-Ting Chen, Shiu‐Feng Huang, Shih-Feng Tsai, Ling-Hui Li, Yi‐Cheng Wu, Yung‐Feng Lin and Yi‐Rong Chen. Their work appears in journals such as Journal of Neuroscience, Nature Communications, Clinical Cancer Research, Journal of Molecular and Cellular Cardiology and Lung 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.

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