Wei Fu

960 citations
52 papers · 727 · h-index 15

Impact in

    • Insect and Pesticide Research
    • Insect-Plant Interactions and Control
    • Insect Resistance and Genetics
    • CRISPR and Genetic Engineering
    • Molecular Biology Techniques and Applications
    • RNA Research and Splicing
    • Advanced biosensing and bioanalysis techniques

Papers in

    • CRISPR and Genetic Engineering 17
    • Insect Resistance and Genetics 7
    • Plant Gene Expression Analysis 6
    • Molecular Biology Techniques and Applications 5
    • Plant biochemistry and biosynthesis 4
    • Genetically Modified Organisms Research 11
    • Plant Virus Research Studies 5

Wei Fu

50 papers receiving 724 citations

Peers

Wei Fu
Comparison fields: 5 of 88
  • Insect Science 154
  • Molecular Biology 593
  • Plant Science 247
  • Genetics 67
  • Aging 4
Replace Yan Dong with:
Yan Dong China
Savita Shanker United States
Corinne Augé‐Gouillou France
Walid S. Maaty United States
Xiaogang Wu China
Feng‐Ling Si China
Yanhui Wang China
Wujun Jin China
Liang Yang China
Wei Fu relative to Yan Dong China Yan Dong's profile →
Citations per field
00.5×3.3×
Yan Dong · 1×
Citations per year

Countries citing papers authored by Wei Fu

Since Specialization
Citations

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

Fields of papers citing papers by Wei Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013151
2 201554
3 201254
4 201653
5 201438
6 202031
7 202030
8 202026
9 202221
10 201620
11 201518
12 201618
13 201916
14 201915
15 202414
16 201713
17 202213
18 201711
19 201711
20 201710

About Wei Fu

Wei Fu is a scholar working on Molecular Biology, Plant Science, Genetics, Insect Science and Nutrition and Dietetics, having authored 52 papers that have together received 727 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (17 papers), Genetically Modified Organisms Research (11 papers), Animal Genetics and Reproduction (7 papers), Insect Resistance and Genetics (7 papers), Plant Gene Expression Analysis (6 papers), Plant Virus Research Studies (5 papers), Molecular Biology Techniques and Applications (5 papers) and Plant biochemistry and biosynthesis (4 papers). The work is most often cited by research in Insect Science (154 citations), Molecular Biology (593 citations), Plant Science (247 citations), Genetics (67 citations) and Aging (4 citations). Wei Fu has collaborated with scholars based in China, Indonesia and United States. Frequent co-authors include Shaoli Wang, Youjun Zhang, Qingjun Wu, Wen Xie, Xuguo Zhou, Shuifang Zhu, Pengyu Zhu, Chenguang Wang, Zhuo Zhang and Yong Liu. Their work appears in journals such as Scientific Reports, International Journal of Biological Sciences, Analytica Chimica Acta, Frontiers in Plant Science and Theriogenology.

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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