Yu‐Wen Hsu

1.1k total citations
32 papers, 856 citations indexed

About

Yu‐Wen Hsu is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Yu‐Wen Hsu has authored 32 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Pathology and Forensic Medicine and 4 papers in Surgery. Recurrent topics in Yu‐Wen Hsu's work include Tea Polyphenols and Effects (5 papers), Drug-Induced Hepatotoxicity and Protection (4 papers) and Phytochemical and Pharmacological Studies (3 papers). Yu‐Wen Hsu is often cited by papers focused on Tea Polyphenols and Effects (5 papers), Drug-Induced Hepatotoxicity and Protection (4 papers) and Phytochemical and Pharmacological Studies (3 papers). Yu‐Wen Hsu collaborates with scholars based in Taiwan, Saudi Arabia and India. Yu‐Wen Hsu's co-authors include Chia-Fang Tsai, Wen‐Kang Chen, Fung‐Jou Lu, Cheng‐Chieh Yen, Yung‐Chyuan Ho, Chun-Fa Huang, Chiung‐Wen Hu, Mu‐Rong Chao, Wen-Huei Chang and Jia‐Ying Wu and has published in prestigious journals such as Physical Review B, Biochemical Journal and Food Chemistry.

In The Last Decade

Yu‐Wen Hsu

31 papers receiving 824 citations

Peers

Yu‐Wen Hsu
Comparison fields: 5 of 118
  • Molecular Biology 209
  • Pharmacology 153
  • Complementary and alternative medicine 147
  • Plant Science 132
  • Pathology and Forensic Medicine 108
Replace Abdel Razik H. Farrag with:
Abdel Razik H. Farrag Egypt
Mohammad Ahmed Khan India
Ujjal Das India
Majid Ahmad Ganaie Saudi Arabia
Mukesh Nandave India
BC Koti India
Agadi Hiremath Viswanatha Swamy India
Shatadal Ghosh India
Sayantani Chowdhury India
Vineet Mittal India
Abdel Razik H. Farrag Egypt View profile →
Citations per field, relative to Yu‐Wen Hsu
Yu‐Wen Hsu · 1×
Citations per year, relative to Yu‐Wen Hsu
Yu‐Wen Hsu · 1×

Countries citing papers authored by Yu‐Wen Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Wen Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Wen Hsu. 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 Yu‐Wen Hsu. The network helps show where Yu‐Wen Hsu may publish in the future.

Co-authorship network of co-authors of Yu‐Wen Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Wen Hsu. A scholar is included among the top collaborators of Yu‐Wen Hsu 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 Yu‐Wen Hsu. Yu‐Wen Hsu 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 0
2 5
3 49
4 8
5 12
6 12
7 15
8 24
9 7
10 29
11 22
12 28
13 10
14 53
15 66
16 45
17 61
18 69
19 26
20 63

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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