Kang Wei

4.1k citations
107 papers · 2.9k indexed · h-index 33

Impact in

Papers in

Kang Wei

105 papers receiving 2.8k citations

Peers

Kang Wei
Comparison fields: 5 of 116
  • Biochemistry 411
  • Pathology and Forensic Medicine 906
  • Plant Science 1.5k
  • Food Science 489
  • Pollution 303
Replace Xiaochun Wan with:
Xiaochun Wan China
Yeyun Li China
Wanping Fang China
Jiang Shi China
Ashu Gulati India
Chaoling Wei China
Zhaotang Ding China
P.O. Owuor Kenya
Susanne Baldermann Germany
Xujun Zhu China
Kang Wei relative to Xiaochun Wan China Xiaochun Wan's profile →
Citations per field
00.5×2.9×
Xiaochun Wan · 1×
Citations per year

Countries citing papers authored by Kang Wei

Since Specialization
Citations

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

Fields of papers citing papers by Kang Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20242
3 20242
4 202320
5 20232
6 20234
7 20234
8 20237
9 20237
10 202216
11 202210
12 202113
13 202123
14
Identification of interspecific hybrids between loquat (Eriobotrya japonica Lindl.) and Bengal loquat (E. bengalensis Hook.).
20176
15 20162
16 201233
17
Genotypic and Environmental Variation of β-amylase Activity, β-glucan and Protein Fraction Contents in Tibetan Wild Barley
20095
18 200913
19
Genotypic difference in growth inhibition and yield loss in barley under waterlogging stress
20077
20 2004107

About Kang Wei

Kang Wei is a scholar working on Biochemistry, Pathology and Forensic Medicine, Food Science, Plant Science and Biological Psychiatry, having authored 107 papers that have together received 2.9k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (40 papers), Phytochemicals and Antioxidant Activities (16 papers), Plant Gene Expression Analysis (13 papers), Plant nutrient uptake and metabolism (13 papers), Plant Stress Responses and Tolerance (11 papers), Plant Micronutrient Interactions and Effects (11 papers), Food Quality and Safety Studies (11 papers) and Plant Molecular Biology Research (11 papers). The work is most often cited by research in Biochemistry (411 citations), Pathology and Forensic Medicine (906 citations), Plant Science (1.5k citations), Food Science (489 citations) and Pollution (303 citations). Kang Wei has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Liyuan Wang, Guoping Zhang, Hao Cheng, Feibo Wu, Liyun Wu, Li Ruan, Chengcai Zhang, Hao Cheng, Fei Chen and Yuanfeng Wang. Their work appears in journals such as Food Chemistry, Journal of Zhejiang University SCIENCE B, Plant Physiology and Biochemistry, Foods and Scientia Horticulturae.

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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