Cheng‐Hsun Wu

1.9k total citations
49 papers, 1.6k citations indexed

About

Cheng‐Hsun Wu is a scholar working on Molecular Biology, Cancer Research and Pharmacology. According to data from OpenAlex, Cheng‐Hsun Wu has authored 49 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Pharmacology. Recurrent topics in Cheng‐Hsun Wu's work include Chromatography in Natural Products (4 papers), Phytochemical Studies and Bioactivities (4 papers) and Cancer, Lipids, and Metabolism (4 papers). Cheng‐Hsun Wu is often cited by papers focused on Chromatography in Natural Products (4 papers), Phytochemical Studies and Bioactivities (4 papers) and Cancer, Lipids, and Metabolism (4 papers). Cheng‐Hsun Wu collaborates with scholars based in Taiwan, United States and Macao. Cheng‐Hsun Wu's co-authors include Chau‐Jong Wang, Ting‐Tsz Ou, Mon‐Yuan Yang, Yuan‐Wei Shih, Chau‐Jong Wang, Kuei‐Chuan Chan, Hsieh‐Hsun Ho, Ming‐Cheng Lin, Shengyou Liao and Chi-Sen Chang and has published in prestigious journals such as Nature Communications, Biochemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Cheng‐Hsun Wu

49 papers receiving 1.6k citations

Peers

Cheng‐Hsun Wu
Comparison fields: 5 of 132
  • Molecular Biology 754
  • Plant Science 334
  • Biochemistry 267
  • Pharmacology 194
  • Pharmacology 174
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Jin Qi China
Arulkumar Nagappan South Korea
Ke Yuan China
Takuhiro Uto Japan
Young Sup Kim South Korea
César L. Ramírez-Tortosa Spain
Wan Kyunn Whang South Korea
Estefanía Burgos‐Morón Spain
Peiying Shi China
Girish B. Maru India
Jin Qi China View profile →
Citations per field, relative to Cheng‐Hsun Wu
Cheng‐Hsun Wu · 1×
Citations per year, relative to Cheng‐Hsun Wu
Cheng‐Hsun Wu · 1×

Countries citing papers authored by Cheng‐Hsun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng‐Hsun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng‐Hsun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng‐Hsun Wu. A scholar is included among the top collaborators of Cheng‐Hsun Wu 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 Cheng‐Hsun Wu. Cheng‐Hsun Wu 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
# Work Indexed citations
1 26
2 10
3 2
4 13
5 10
6 9
7 23
8 10
9 33
10 153
11 41
12 100
13 13
14 43
15 21
16 98
17 65
18
AN ONTOLOGY-BASED DOCUMENT RECOMMENDATION SYSTEM: DESIGN, IMPLEMENTATION, AND EVALUATION
1
19 8
20 39

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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