Chih‐Ching Wu

6.1k citations
154 papers · 4.6k · h-index 39

Impact in

Papers in

    • RNA modifications and cancer 11
    • RNA Research and Splicing 8
    • RNA and protein synthesis mechanisms 7
    • Peptidase Inhibition and Analysis 9

Chih‐Ching Wu

149 papers receiving 4.6k citations

Peers

Chih‐Ching Wu
Comparison fields: 5 of 147
  • Hepatology 429
  • Cancer Research 566
  • Otorhinolaryngology 134
  • Spectroscopy 544
  • Periodontics 120
Replace Xingnan Li with:
Xingnan Li United States
Noriaki Tanaka Japan
Lu Gao China
Marina Kreutz Germany
Thomas Joos Germany
Andreas Sommer United States
Koji Yamashita Japan
Takayuki Yoshimoto Japan
Yoon‐Keun Kim South Korea
Yu L. Lei United States
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Citations per field
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Citations per year

Countries citing papers authored by Chih‐Ching Wu

Since Specialization
Citations

This map shows the geographic impact of Chih‐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 Chih‐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 Chih‐Ching Wu more than expected).

Fields of papers citing papers by Chih‐Ching Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chih‐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 Chih‐Ching Wu Line = papers co-authored together Chih‐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 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010179
2 1995178
3 2003175
4 2012175
5 2003136
6 2010121
7 2012118
8 2010110
9 2008106
10 201390
11 199689
12 200588
13 200588
14 201583
15 200672
16 201969
17 201668
18 200966
19 201164
20 200964

About Chih‐Ching Wu

Chih‐Ching Wu is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Physiology and Surgery, having authored 154 papers that have together received 4.6k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (12 papers), RNA modifications and cancer (11 papers), Peptidase Inhibition and Analysis (9 papers), RNA Research and Splicing (8 papers), interferon and immune responses (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Salivary Gland Disorders and Functions (7 papers) and RNA and protein synthesis mechanisms (7 papers). The work is most often cited by research in Hepatology (429 citations), Cancer Research (566 citations), Otorhinolaryngology (134 citations), Spectroscopy (544 citations) and Periodontics (120 citations). Chih‐Ching Wu has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Jau‐Song Yu, Yu‐Sun Chang, Kai‐Ping Chang, Chia‐Wei Hsu, Hao‐Ping Liu, F-K P'eng, Liu Tj, Chia‐Jung Yu, Yi‐Ting Chen and Chi-De Chen. Their work appears in journals such as Journal of Proteome Research, Molecular & Cellular Proteomics, PROTEOMICS, British journal of surgery and Psychoneuroendocrinology.

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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