Li-Ching Wu
Impact in
- Clinical Biochemistry top 10%
- Bacterial Identification and Susceptibility Testing
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- Hepatitis C virus research
Papers in
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- RNA and protein synthesis mechanisms 4
- Genomics and Phylogenetic Studies 3
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- Hepatitis B Virus Studies 3
- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Chien‐Feng Li (8 shared papers)Jorng‐Tzong Horng (10 shared papers)Yow‐Ling Shiue (5 shared papers)Hsuan‐Ying Huang (2 shared papers)Tzong-Yi Lee (4 shared papers)Hong‐Yu Tseng (1 shared paper)Yi‐Ling Chen (1 shared paper)Chia‐Ru Chung (4 shared papers)
In The Last Decade
Li-Ching Wu
33 papers receiving 246 citations
Peers
Comparison fields: 5 of 67
- Clinical Biochemistry 37
- Hepatology 25
- Cancer Research 40
- Molecular Biology 123
- Applied Microbiology and Biotechnology 3
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
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 53 | |
| 2 | 2000 | 27 | |
| 3 | 2021 | 14 | |
| 4 | 2019 | 14 | |
| 5 | 2012 | 12 | |
| 6 | 2021 | 11 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 9 | |
| 9 | 2021 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2012 | 7 | |
| 13 | 2023 | 7 | |
| 14 | Establishment and characterization of two cell lines derived from a single hepatocellular carcinoma containing multiploid DNA distribution. | 1996 | 7 |
| 15 | 2022 | 6 | |
| 16 | 2010 | 6 | |
| 17 | 2008 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2009 | 4 |
About Li-Ching Wu
Li-Ching Wu is a scholar working on Molecular Biology, Epidemiology, Clinical Biochemistry, Hepatology and Pathology and Forensic Medicine, having authored 34 papers that have together received 249 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (5 papers), RNA and protein synthesis mechanisms (4 papers), Hepatitis B Virus Studies (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Hepatitis C virus research (3 papers), Genomics and Phylogenetic Studies (3 papers), Vitamin C and Antioxidants Research (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Clinical Biochemistry (37 citations), Hepatology (25 citations), Cancer Research (40 citations), Molecular Biology (123 citations) and Applied Microbiology and Biotechnology (3 citations). Li-Ching Wu has collaborated with scholars based in Taiwan and China. Frequent co-authors include Chien‐Feng Li, Jorng‐Tzong Horng, Yow‐Ling Shiue, Hsuan‐Ying Huang, Tzong-Yi Lee, Hong‐Yu Tseng, Yi‐Ling Chen, Chia‐Ru Chung, Lih-Ren Chen and Yih‐Huei Uen. Their work appears in journals such as Expert Systems with Applications, International Journal of Molecular Sciences, Nutrients, Frontiers in Oncology and Computer.
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.