Li-Ching Wu
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
-
- Machine Learning in Bioinformatics
- vaccines and immunoinformatics approaches
- RNA and protein synthesis mechanisms
- Biochemical and Structural Characterization
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
-
- RNA modifications and cancer 5
- Machine Learning in Bioinformatics 3
- RNA and protein synthesis mechanisms 3
- Cancer-related gene regulation 3
- Genomics and Phylogenetic Studies 2
- Oncology 6
- Cancer-related Molecular Pathways 3
- Co-authors
- Jorng‐Tzong Horng (7 shared papers)Chia‐Ru Chung (3 shared papers)Tzong-Yi Lee (3 shared papers)Hsuan-Ying Huang (8 shared papers)Chien‐Feng Li (8 shared papers)Tzu‐Hao Chang (2 shared papers)Yow-Ling Shiue (7 shared papers)Wen-Ren Wu (7 shared papers)
In The Last Decade
Li-Ching Wu
18 papers receiving 406 citations
Peers
Comparison fields: 5 of 70
- Microbiology 112
- Molecular Biology 295
- Cancer Research 55
- Oncology 61
- Pulmonary and Respiratory Medicine 58
Countries citing papers authored by Li-Ching Wu
This map shows the geographic impact of Li-Ching 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 Li-Ching Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li-Ching Wu more than expected).
Fields of papers citing papers by Li-Ching Wu
This network shows the impact of papers produced by Li-Ching 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 Li-Ching Wu. The network helps show where Li-Ching Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Li-Ching Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 135 | |
| 2 | 2009 | 48 | |
| 3 | 2012 | 39 | |
| 4 | 2011 | 27 | |
| 5 | 2012 | 22 | |
| 6 | 2012 | 21 | |
| 7 | 2010 | 20 | |
| 8 | 2018 | 16 | |
| 9 | 2012 | 15 | |
| 10 | 2011 | 14 | |
| 11 | 2020 | 14 | |
| 12 | 2012 | 11 | |
| 13 | 2013 | 10 | |
| 14 | 2024 | 7 | |
| 15 | 2012 | 7 | |
| 16 | 2009 | 5 | |
| 17 | 2011 | 4 | |
| 18 | 2012 | 1 |
About Li-Ching Wu
Li-Ching Wu is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Microbiology and Surgery, having authored 18 papers that have together received 416 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Machine Learning in Bioinformatics (3 papers), Cancer-related Molecular Pathways (3 papers), RNA and protein synthesis mechanisms (3 papers), Cancer-related gene regulation (3 papers), Antimicrobial Peptides and Activities (3 papers), Genetic factors in colorectal cancer (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Microbiology (112 citations), Molecular Biology (295 citations), Cancer Research (55 citations), Oncology (61 citations) and Pulmonary and Respiratory Medicine (58 citations). Li-Ching Wu has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Jorng‐Tzong Horng, Chia‐Ru Chung, Tzong-Yi Lee, Hsuan-Ying Huang, Chien‐Feng Li, Tzu‐Hao Chang, Yow-Ling Shiue, Wen-Ren Wu, Hsien‐Da Huang and Ching-Yih Lin. Their work appears in journals such as Journal of Clinical Pathology, iScience, Clinical Cancer Research, BMJ Open and Scientific Reports.
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.