Wei-Kuang Wang

497 citations
29 papers · 401 · h-index 13

Impact in

Papers in

    • Identification and Quantification in Food 8
    • Genomics and Phylogenetic Studies 6
    • Genetic diversity and population structure 9

Wei-Kuang Wang

28 papers receiving 398 citations

Peers

Wei-Kuang Wang
Comparison fields: 5 of 82
  • Aquatic Science 60
  • Biotechnology 60
  • Biological Psychiatry 10
  • Nature and Landscape Conservation 44
  • Genetics 95
Replace Jingjing Ma with:
Jingjing Ma China
Kaja H. Skjærven Norway
Ting Lv China
Xiaocui Ma China
Kang Hee Kho South Korea
Haiyan Kong China
Ming Zhu China
Sonia M.C. Dietrich Brazil
Jian Gao China
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Wei-Kuang Wang relative to Jingjing Ma China Jingjing Ma's profile →
Citations per field
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Citations per year

Countries citing papers authored by Wei-Kuang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Kuang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Kuang 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 Wei-Kuang Wang. The network helps show where Wei-Kuang Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Wei-Kuang Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wei-Kuang Wang Line = papers co-authored together Wei-Kuang Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201447
2 201341
3 202140
4 201636
5 201728
6 202124
7 202019
8 202019
9 202015
10 201814
11
The treatment of mouse colorectal cancer by oral delivery tumor-targeting Salmonella.
201514
12 202112
13 201612
14 201911
15 201410
16 20169
17 20018
18 20148
19 20187
20 20226

About Wei-Kuang Wang

Wei-Kuang Wang is a scholar working on Molecular Biology, Genetics, Aquatic Science, Ecology and Nature and Landscape Conservation, having authored 29 papers that have together received 401 indexed citations. Recurring topics across this work include Genetic diversity and population structure (9 papers), Identification and Quantification in Food (8 papers), Fish Biology and Ecology Studies (7 papers), Genomics and Phylogenetic Studies (6 papers), Cancer Research and Treatments (4 papers), Fish Ecology and Management Studies (3 papers), Anaerobic Digestion and Biogas Production (3 papers) and Nanoplatforms for cancer theranostics (3 papers). The work is most often cited by research in Aquatic Science (60 citations), Biotechnology (60 citations), Biological Psychiatry (10 citations), Nature and Landscape Conservation (44 citations) and Genetics (95 citations). Wei-Kuang Wang has collaborated with scholars based in Taiwan, China and Switzerland. Frequent co-authors include Che‐Hsin Lee, Chih‐Ming Liang, Hung‐Du Lin, Jiann‐Long Chen, Yu‐Liang Kuo, Kui‐Ching Hsu, Kuo-Hsun Chiu, Jin-Quan Yang, Wensheng Liu and Yu‐Tzu Tsao. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences, ZooKeys, Marine Drugs and Aquatic Botany.

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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