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
-
- Machine Learning in Bioinformatics 3
- RNA modifications and cancer 3
- RNA and protein synthesis mechanisms 3
- Genomics and Chromatin Dynamics 2
- Genomics and Phylogenetic Studies 2
- Oncology 3
- Cancer-related Molecular Pathways 2
- Co-authors
- Jorng‐Tzong Horng (7 shared papers)Chia‐Ru Chung (3 shared papers)Tzong-Yi Lee (3 shared papers)Wen-Ren Wu (7 shared papers)Hsuan-Ying Huang (8 shared papers)Chien‐Feng Li (8 shared papers)Hsien‐Da Huang (2 shared papers)Tzu‐Hao Chang (2 shared papers)
In The Last Decade
Li-Ching Wu
18 papers receiving 426 citations
Peers
Comparison fields: 5 of 69
- Microbiology 122
- Molecular Biology 277
- Cancer Research 42
- Oncology 48
- Pulmonary and Respiratory Medicine 46
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 | 146 | |
| 2 | 2009 | 50 | |
| 3 | 2012 | 39 | |
| 4 | 2011 | 28 | |
| 5 | 2012 | 23 | |
| 6 | 2012 | 22 | |
| 7 | 2010 | 21 | |
| 8 | 2018 | 16 | |
| 9 | 2011 | 15 | |
| 10 | 2012 | 15 | |
| 11 | 2020 | 14 | |
| 12 | 2012 | 11 | |
| 13 | 2013 | 10 | |
| 14 | 2024 | 9 | |
| 15 | 2012 | 7 | |
| 16 | 2009 | 5 | |
| 17 | 2011 | 4 | |
| 18 | 2012 | 1 | |
| 19 | 2025 | 0 |
About Li-Ching Wu
Li-Ching Wu is a scholar working on Molecular Biology, Oncology, Microbiology, Pulmonary and Respiratory Medicine and Genetics, having authored 19 papers that have together received 436 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (3 papers), Machine Learning in Bioinformatics (3 papers), RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Cancer-related Molecular Pathways (2 papers), Genomics and Chromatin Dynamics (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Microbiology (122 citations), Molecular Biology (277 citations), Cancer Research (42 citations), Oncology (48 citations) and Pulmonary and Respiratory Medicine (46 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, Wen-Ren Wu, Hsuan-Ying Huang, Chien‐Feng Li, Hsien‐Da Huang, Tzu‐Hao Chang, Yow-Ling Shiue and Yu-Hui Wang. Their work appears in journals such as Journal of Clinical Pathology, Frontiers in Genetics, Clinical Cancer Research, iScience and BMJ Open.
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.