Wenhua Kuang

1.8k citations
34 papers · 966 indexed · 1 hit paper · h-index 12

Wenhua Kuang

33 papers receiving 959 citations

Hit Papers

A network integration approach for drug-target interactio...6352017202620202023200400600

Peers

Wenhua Kuang
Comparison fields: 5 of 100
  • Computational Theory and Mathematics 525
  • Molecular Biology 731
  • Pharmacology 66
  • Computational Mathematics 3
  • Cancer Research 69
Replace David Hoksza with:
David Hoksza Czechia
Yanmin Zhang China
Katrin Stierand Germany
Stephani Joy Y. Macalino Philippines
Thales Kronenberger Germany
Nalini Schaduangrat Thailand
Vijayakumar Gosu South Korea
Matteo Floris Italy
Jia Jia Singapore
Lingqi Luo United States
Wenhua Kuang relative to David Hoksza Czechia David Hoksza's profile →
Citations per field
00.5×5.9×
David Hoksza · 1×
Citations per year

Countries citing papers authored by Wenhua Kuang

Since Specialization
Citations

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

Fields of papers citing papers by Wenhua Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Wenhua Kuang, 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 Wenhua Kuang Line = papers co-authored together Wenhua Kuang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20252
3 20252
4 20253
5 20241
6 20248
7 20223
8 20225
9 20208
10 201914
11 20195
12 201823
13 20185
14
A Network Integration Approach for Drug-Target Interaction Prediction and Computational Drug Repositioning from Heterogeneous Information.
20171
15 201718
16 20177
17 20165
18 20167
19 20125
20 201111

About Wenhua Kuang

Wenhua Kuang is a scholar working on Insect Science, Biological Psychiatry and Complementary and alternative medicine, having authored 34 papers that have together received 966 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (8 papers), Insect Resistance and Genetics (5 papers), Entomopathogenic Microorganisms in Pest Control (4 papers), Bacteriophages and microbial interactions (3 papers), Virus-based gene therapy research (2 papers), MicroRNA in disease regulation (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Protein purification and stability (2 papers). The work is most often cited by research in Computational Theory and Mathematics (525 citations), Molecular Biology (731 citations) and Pharmacology (66 citations). Wenhua Kuang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Ligong Chen, Yunan Luo, Jian Peng, Xinbin Zhao, Jianyang Zeng, Yanqing Zhang, Jinglin Yang, Jingtian Zhou, Lan Zhou and Xiaoru Zhang. Their work appears in journals such as Nature Communications, PLoS ONE and Biomaterials.

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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