Li-Ching Wu

536 citations
33 papers · 241 · h-index 9

Impact in

Papers in

    • RNA and protein synthesis mechanisms 4
    • Genomics and Phylogenetic Studies 3
    • Epigenetics and DNA Methylation 3
    • Hepatitis B Virus Studies 4
    • Liver Disease Diagnosis and Treatment 4

Li-Ching Wu

33 papers receiving 238 citations

Peers

Li-Ching Wu
Comparison fields: 5 of 68
  • Clinical Biochemistry 35
  • Hepatology 28
  • Cancer Research 46
  • Molecular Biology 138
  • Applied Microbiology and Biotechnology 4
Replace Yen-Cheng Yeh with:
Yen-Cheng Yeh Taiwan
Haiyan Du China
Demetra Mavri‐Damelin South Africa
Chunrui Wang China
Yasmin Badshah Pakistan
Joerg Schreiber Germany
Nannan Liu China
Zhuo Cao China
Ruo Feng China
Lam Nguyen United States
Li-Ching Wu relative to Yen-Cheng Yeh Taiwan Yen-Cheng Yeh's profile →
Citations per field
00.5×2.8×
Yen-Cheng Yeh · 1×
Citations per year

Countries citing papers authored by Li-Ching Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Li-Ching Wu Line = papers co-authored together Li-Ching Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201252
2 200027
3 201914
4 202113
5 201212
6 202111
7 20228
8 20238
9 20238
10 20217
11 20217
12 20127
13
Establishment and characterization of two cell lines derived from a single hepatocellular carcinoma containing multiploid DNA distribution.
19967
14 20226
15 20236
16 20106
17 20085
18 20225
19 20195
20 20094

About Li-Ching Wu

Li-Ching Wu is a scholar working on Molecular Biology, Epidemiology, Surgery, Clinical Biochemistry and Hepatology, having authored 33 papers that have together received 241 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (5 papers), Hepatitis B Virus Studies (4 papers), Bladder and Urothelial Cancer Treatments (4 papers), Liver Disease Diagnosis and Treatment (4 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Phylogenetic Studies (3 papers), Epigenetics and DNA Methylation (3 papers) and Hepatitis C virus research (3 papers). The work is most often cited by research in Clinical Biochemistry (35 citations), Hepatology (28 citations), Cancer Research (46 citations), Molecular Biology (138 citations) and Applied Microbiology and Biotechnology (4 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, Yih‐Huei Uen, Yi‐Ling Chen, Lih-Ren Chen, Hong‐Yu Tseng, Chia‐Ru Chung and Shwu‐Bin Lin. Their work appears in journals such as Expert Systems with Applications, International Journal of Molecular Sciences, Frontiers in Oncology, Nutrients and iScience.

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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