Guan-Cheng Huang

596 citations
21 papers · 503 indexed · h-index 14
Topics
Cancer-related Molecular Pathways (3 papers)Ginseng Biological Effects and Applications (2 papers)Traditional Chinese Medicine Analysis (2 papers)
Partner nations
TaiwanUnited States

In The Last Decade

Guan-Cheng Huang

21 papers receiving 489 citations

Peers

Guan-Cheng Huang
Comparison fields: 5 of 86
  • Molecular Biology 183
  • Oncology 123
  • Pharmacology 101
  • Pathology and Forensic Medicine 80
  • Immunology 72
Replace Sadhna Aggarwal with:
Sadhna Aggarwal India
Bano Shabnam India
Clarissa Esmeralda Halim Singapore
Mojtaba Abbasi Iran
Abdulmohsin J. Alamoudi Saudi Arabia
Tadayoshi Hasuma Japan
Alak Manna United States
Rosanna Mattera Italy
Chia‐Chieh Lin Taiwan
Yi‐Ting Hsi Taiwan
Guan-Cheng Huang relative to Sadhna Aggarwal India Sadhna Aggarwal's profile →
Citations per field
00.5×2.6×
Sadhna Aggarwal · 1×
Citations per year

Countries citing papers authored by Guan-Cheng Huang

Since Specialization
Citations

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

Fields of papers citing papers by Guan-Cheng Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guan-Cheng 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 Guan-Cheng Huang. The network helps show where Guan-Cheng Huang may publish in the future.

Co-authorship network of co-authors of Guan-Cheng Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Guan-Cheng Huang. A scholar is included among the top collaborators of Guan-Cheng 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 Guan-Cheng Huang. Guan-Cheng 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 7
2 20
3 28
4 14
5 8
6 32
7 13
8 1
9 18
10 21
11 5
12 29
13 19
14 48
15 49
16 6
17 12
18 13
19 41
20 23

About Guan-Cheng Huang

Guan-Cheng Huang is a scholar working on Pharmacology, Toxicology and Geriatrics and Gerontology, having authored 21 papers that have together received 503 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), Ginseng Biological Effects and Applications (2 papers) and Traditional Chinese Medicine Analysis (2 papers). The work is most often cited by research in Pharmacology (101 citations), Molecular Medicine (40 citations) and Complementary and alternative medicine (51 citations). Guan-Cheng Huang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Ching‐Chiung Wang, Lih-Geeng Chen, Ting-Yi Chien, Dan Jones, Kung‐Chao Chang, Hsiao‐Sheng Liu, Yen‐Chou Chen, Shing‐Chuan Shen, Chi‐Ying F. Huang and Lingling Yang. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Clinical Cancer Research and Biochemical and Biophysical Research Communications.

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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