Hsu‐Shan Huang

2.8k citations
126 papers · 2.4k indexed · h-index 29
Topics
Bioactive Compounds and Antitumor Agents (29 papers)Cancer therapeutics and mechanisms (24 papers)Synthesis and biological activity (20 papers)
Partner nations
TaiwanUnited StatesJapan

In The Last Decade

Hsu‐Shan Huang

123 papers receiving 2.4k citations

Peers

Hsu‐Shan Huang
Comparison fields: 5 of 133
  • Molecular Biology 1.2k
  • Organic Chemistry 477
  • Toxicology 344
  • Oncology 338
  • Plant Science 215
Replace Rajeshwar P. Verma with:
Rajeshwar P. Verma United States
Jorge A. R. Salvador Portugal
Marinella Roberti Italy
Qiuzhi Cindy Cui United States
Peter L. Gutiérrez United States
Dayong Shi China
Weixiong Zhong United States
Hongtao Xu China
Woo Hyun Park South Korea
Brian B. Hasinoff Canada
Hsu‐Shan Huang relative to Rajeshwar P. Verma United States Rajeshwar P. Verma's profile →
Citations per field
00.5×1.5×1.9×
Rajeshwar P. Verma · 1×
Citations per year

Countries citing papers authored by Hsu‐Shan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Hsu‐Shan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsu‐Shan Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Hsu‐Shan Huang. A scholar is included among the top collaborators of Hsu‐Shan Huang 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 Hsu‐Shan Huang. Hsu‐Shan Huang 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 3
2 3
3 50
4 25
5 36
6 24
7 16
8 20
9 33
10 23
11 15
12 13
13 2
14
Second Generation Drugs-derivatives of Natural Antitumor Anthracycline Antibiotics Daunorubicin, Doxorubicin and Carminomycin
12
15
Antitumor Anthraquinone Analogues for Multidrug Resistant Tumor Cells
7
16 17
17 33
18 2
19
Development of novel antipsoriatic anthrones
1
20
Summary of national guidelines for diagnosis and management of lipid disorders in Taiwan
1

About Hsu‐Shan Huang

Hsu‐Shan Huang is a scholar working on Toxicology, Biochemistry and Organic Chemistry, having authored 126 papers that have together received 2.4k indexed citations. Recurring topics across this work include Bioactive Compounds and Antitumor Agents (29 papers), Cancer therapeutics and mechanisms (24 papers) and Synthesis and biological activity (20 papers). The work is most often cited by research in Toxicology (344 citations), Molecular Biology (1.2k citations) and Organic Chemistry (477 citations). Hsu‐Shan Huang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include J. David Van Horn, Tsung‐Chih Chen, Chia-Chung Lee, Chun‐Liang Chen, Jing‐Jer Lin, Alexander T.H. Wu, Kuo-Feng Huang, Deh‐Ming Chang, Hui‐Fen Chiu and Ahmed Ali. Their work appears in journals such as PLoS ONE, Scientific Reports and Coordination Chemistry Reviews.

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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