Hao-Wei Fu

546 citations
18 papers · 427 · h-index 12

Impact in

    • Phytase and its Applications
    • Plant Micronutrient Interactions and Effects
    • Plant Genetic and Mutation Studies
    • Cassava research and cyanide
    • GABA and Rice Research
    • Chromosomal and Genetic Variations
    • Iron Metabolism and Disorders

Papers in

    • Plant Genetic and Mutation Studies 7
    • Chromosomal and Genetic Variations 6
    • Phytase and its Applications 4
    • Plant Virus Research Studies 3
    • Plant Molecular Biology Research 2
    • GABA and Rice Research 2
    • Plant tissue culture and regeneration 4

Hao-Wei Fu

18 papers receiving 407 citations

Peers

Hao-Wei Fu
Comparison fields: 5 of 50
  • Plant Science 394
  • Hematology 40
  • Endocrinology 11
  • Horticulture 2
  • Molecular Biology 137
Replace Soumitra Paul with:
Soumitra Paul India
Tomikichi Wada Japan
Vishnu Shukla India
Cui Hairui China
Huajie Fan China
Thomas Richter Germany
I.B. Maiti India
Danyu Kong China
Tung-Hai Tseng Taiwan
David Bowen United States
Hao-Wei Fu relative to Soumitra Paul India Soumitra Paul's profile →
Citations per field
00.5×1.5×
Soumitra Paul · 1×
Citations per year

Countries citing papers authored by Hao-Wei Fu

Since Specialization
Citations

This map shows the geographic impact of Hao-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 Hao-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 Hao-Wei Fu more than expected).

Fields of papers citing papers by Hao-Wei Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2007130
2 200843
3 201638
4 200830
5 201229
6 200628
7 201620
8 202019
9 201417
10 201914
11 201814
12 201513
13 202110
14 202310
15 20128
16 20172
17 20191
18 20201

About Hao-Wei Fu

Hao-Wei Fu is a scholar working on Plant Science, Molecular Biology, Rheumatology, Mechanics of Materials and Ocean Engineering, having authored 18 papers that have together received 427 indexed citations. Recurring topics across this work include Plant Genetic and Mutation Studies (7 papers), Chromosomal and Genetic Variations (6 papers), Phytase and its Applications (4 papers), Plant tissue culture and regeneration (4 papers), Plant Virus Research Studies (3 papers), Plant Molecular Biology Research (2 papers), GABA and Rice Research (2 papers) and Folate and B Vitamins Research (2 papers). The work is most often cited by research in Plant Science (394 citations), Hematology (40 citations), Endocrinology (11 citations), Horticulture (2 citations) and Molecular Biology (137 citations). Hao-Wei Fu has collaborated with scholars based in China, Austria and Japan. Frequent co-authors include Qingyao Shu, Qinglong Liu, Dianxing Wu, Xueliang Ren, Jianzhong Huang, Haijun Zhao, Shan Li, Youfa Li, Cui Hairui and Yuanyuan Tan. Their work appears in journals such as Journal of Zhejiang University SCIENCE B, Theoretical and Applied Genetics, Field Crops Research, Molecular Breeding and Journal of Pineal Research.

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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