Hui‐Kang Wang

2.4k citations
35 papers · 2.1k indexed · h-index 23
Topics
Natural product bioactivities and synthesis (12 papers)EEG and Brain-Computer Interfaces (6 papers)Cancer therapeutics and mechanisms (5 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Hui‐Kang Wang

35 papers receiving 1.9k citations

Peers

Hui‐Kang Wang
Comparison fields: 5 of 114
  • Molecular Biology 1.4k
  • Organic Chemistry 503
  • Plant Science 410
  • Pharmacology 263
  • Complementary and alternative medicine 212
Replace Filippo Cottiglia with:
Filippo Cottiglia Italy
Wei‐Jern Tsai Taiwan
Tsuneatsu Nagao Japan
Minpei Kuroda Japan
Bao‐Ning Su United States
Sanan Subhadhirasakul Thailand
Chanita Ponglimanont Thailand
Pittaya Tuntiwachwuttikul Thailand
Preecha Phuwapraisirisan Thailand
Marı́a Yolanda Rios Mexico
Hui‐Kang Wang relative to Filippo Cottiglia Italy Filippo Cottiglia's profile →
Citations per field
00.5×1.6×
Filippo Cottiglia · 1×
Citations per year

Countries citing papers authored by Hui‐Kang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hui‐Kang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui‐Kang Wang. 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 Hui‐Kang Wang. The network helps show where Hui‐Kang Wang may publish in the future.

Co-authorship network of co-authors of Hui‐Kang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hui‐Kang Wang. A scholar is included among the top collaborators of Hui‐Kang Wang 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 Hui‐Kang Wang. Hui‐Kang Wang 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 37
4 5
5 96
6 80
7 111
8 42
9 139
10 11
11 82
12 34
13 67
14 93
15 97
16 50
17 67
18 31
19 71
20 27

About Hui‐Kang Wang

Hui‐Kang Wang is a scholar working on Toxicology, Human-Computer Interaction and Complementary and alternative medicine, having authored 35 papers that have together received 2.1k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (12 papers), EEG and Brain-Computer Interfaces (6 papers) and Cancer therapeutics and mechanisms (5 papers). The work is most often cited by research in Toxicology (128 citations), Complementary and alternative medicine (212 citations) and Molecular Biology (1.4k citations). Hui‐Kang Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Kuo‐Hsiung Lee, Isao Kitagawa, L. Mark Cosentino, Kenneth F. Bastow, Yoshiki Kashiwada, Chang‐Qi Hu, Junko Ishida, Masayuki Yoshikawa, Kuo-Hsiung Lee and Junko Itô. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chromatography A and Materials.

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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