Kuan‐Li Wu

910 citations
36 papers · 603 indexed · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Lung Cancer Research Studies
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Lung Cancer Research Studies 7
    • Colorectal Cancer Treatments and Studies 4
    • Cancer-related molecular mechanisms research 6

Kuan‐Li Wu

33 papers receiving 601 citations

Peers

Kuan‐Li Wu
Comparison fields: 5 of 74
  • Cancer Research 247
  • Oncology 204
  • Pulmonary and Respiratory Medicine 216
  • Molecular Biology 302
  • Immunology 67
Replace Inés López with:
Inés López Spain
Huili Chu China
Ertao Zhai China
Carl Christoph Schimanski Germany
Ruixuan Geng China
Huinian Zhou China
Muhammad Alamgeer Australia
Arpita Desai United States
Jian‐Yong Ding China
Kuan‐Li Wu relative to Inés López Spain Inés López's profile →
Citations per field
00.5×3.4×
Inés López · 1×
Citations per year

Countries citing papers authored by Kuan‐Li Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kuan‐Li Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan‐Li Wu. 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 Kuan‐Li Wu. The network helps show where Kuan‐Li Wu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20244
4 20244
5 20241
6 20233
7 20230
8 20239
9 202110
10 202118
11 202137
12 202113
13 202110
14 202126
15 202110
16 202023
17 202017
18 202011
19 201715
20 201570

About Kuan‐Li Wu

Kuan‐Li Wu is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Immunology and Molecular Biology, having authored 36 papers that have together received 603 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (9 papers), RNA modifications and cancer (8 papers), Lung Cancer Research Studies (7 papers), Lung Cancer Diagnosis and Treatment (6 papers), Cancer-related molecular mechanisms research (6 papers), Immune cells in cancer (5 papers), Colorectal Cancer Treatments and Studies (4 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (247 citations), Oncology (204 citations), Pulmonary and Respiratory Medicine (216 citations), Molecular Biology (302 citations) and Immunology (67 citations). Kuan‐Li Wu has collaborated with scholars based in Taiwan. Frequent co-authors include Jen‐Yu Hung, Ying‐Ming Tsai, Po‐Lin Kuo, Chi‐Tun Lien, Inn‐Wen Chong, Chih‐Jen Yang, Ya‐Ling Hsu, Wei‐An Chang, Jen‐Yu Hung and Ming‐Ju Tsai. Their work appears in journals such as Cancers, International Journal of Molecular Sciences, Journal of Clinical Medicine, Biology and Journal of Personalized 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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