Chang‐Cheng Liu

1.9k citations
42 papers · 1.4k indexed · 1 hit paper · h-index 16
Topics
Glycosylation and Glycoproteins Research (20 papers)Carbohydrate Chemistry and Synthesis (16 papers)Surfactants and Colloidal Systems (5 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Chang‐Cheng Liu

42 papers receiving 1.4k citations

Hit Papers

Induction of functional hepatocyte-like cells from mouse ...20112026201620212011200400600

Peers

Chang‐Cheng Liu
Comparison fields: 5 of 96
  • Molecular Biology 1.1k
  • Organic Chemistry 373
  • Surgery 343
  • Hepatology 259
  • Biomedical Engineering 128
Replace Tomonori Matsumoto with:
Tomonori Matsumoto Japan
Sara Previdi Italy
Maiia E. Bragina Switzerland
W. Berthold Germany
Julie Desbarats Canada
Ani Grigorian United States
Majid Lotfinia Iran
Chunxiong Zheng China
H. OKAZAKI Japan
Xiaoyuan Zi China
Chang‐Cheng Liu relative to Tomonori Matsumoto Japan Tomonori Matsumoto's profile →
Citations per field
00.5×7.3×
Tomonori Matsumoto · 1×
Citations per year

Countries citing papers authored by Chang‐Cheng Liu

Since Specialization
Citations

This map shows the geographic impact of Chang‐Cheng Liu'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 Chang‐Cheng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang‐Cheng Liu more than expected).

Fields of papers citing papers by Chang‐Cheng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang‐Cheng Liu. 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 Chang‐Cheng Liu. The network helps show where Chang‐Cheng Liu may publish in the future.

Co-authorship network of co-authors of Chang‐Cheng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Cheng Liu. A scholar is included among the top collaborators of Chang‐Cheng Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chang‐Cheng Liu. Chang‐Cheng Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 7
3 1
4 8
5 5
6 14
7 10
8 8
9 7
10 2
11 27
12 34
13 69
14 1
15 30
16 128
17 13
18
Induction of functional hepatocyte-like cells from mouse fibroblasts by defined factorsbreakdown →
658
19 3
20 5

About Chang‐Cheng Liu

Chang‐Cheng Liu is a scholar working on Organic Chemistry, Virology and Immunology, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (20 papers), Carbohydrate Chemistry and Synthesis (16 papers) and Surfactants and Colloidal Systems (5 papers). The work is most often cited by research in Hepatology (259 citations), Molecular Biology (1.1k citations) and Organic Chemistry (373 citations). Chang‐Cheng Liu has collaborated with scholars based in China, United States and France. Frequent co-authors include Yiping Hu, Dao Xiang, Lijian Hui, Xin Wang, Zhiying He, Shuyi Ji, Pengyu Huang, Xin‐Shan Ye, Jingcheng Hao and Hongzhi Cao. Their work appears in journals such as Nature, Journal of the American Chemical Society and Angewandte Chemie International Edition.

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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