Guoyong Fu

406 citations
13 papers · 103 · h-index 6

Impact in

    • Plant Molecular Biology Research
    • Research in Cotton Cultivation
    • Plant Stress Responses and Tolerance
    • Plant-Microbe Interactions and Immunity

Papers in

    • Research in Cotton Cultivation 9
    • Plant Molecular Biology Research 4
    • Plant Virus Research Studies 3
    • Plant nutrient uptake and metabolism 2
    • Light effects on plants 1
    • Plant Gene Expression Analysis 2

Guoyong Fu

11 papers receiving 102 citations

Peers

Guoyong Fu
Comparison fields: 5 of 31
  • Plant Science 66
  • Biochemistry 9
  • Molecular Biology 47
  • Endocrinology 3
  • Pharmacology 9
Replace Zhangyan Wu with:
Zhangyan Wu China
Junlan Wu China
Xue‐Chan Tian China
Xiaolu Cao China
Tadamasa Sasaki Japan
Yuchu Chen China
Kun Pan China
Meilong Xu China
Namjin Koo South Korea
Nolan Bornowski United States
Guoyong Fu relative to Zhangyan Wu China Zhangyan Wu's profile →
Citations per field
00.5×1.5×2.3×
Zhangyan Wu · 1×
Citations per year

Countries citing papers authored by Guoyong Fu

Since Specialization
Citations

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

Fields of papers citing papers by Guoyong Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202125
2 202117
3 200916
4 202214
5 202112
6 20237
7 20235
8 20213
9 20232
10 20241
11 20241
12 20250
13 20240

About Guoyong Fu

Guoyong Fu is a scholar working on Plant Science, Molecular Biology, Endocrinology, Neurology and Immunology, having authored 13 papers that have together received 103 indexed citations. Recurring topics across this work include Research in Cotton Cultivation (9 papers), Plant Molecular Biology Research (4 papers), Plant Virus Research Studies (3 papers), Plant and Fungal Interactions Research (2 papers), Plant Gene Expression Analysis (2 papers), Plant nutrient uptake and metabolism (2 papers), Neuroblastoma Research and Treatments (1 paper) and Light effects on plants (1 paper). The work is most often cited by research in Plant Science (66 citations), Biochemistry (9 citations), Molecular Biology (47 citations), Endocrinology (3 citations) and Pharmacology (9 citations). Guoyong Fu has collaborated with scholars based in China and Poland. Frequent co-authors include Shoupu He, Xiongming Du, Zhaoe Pan, Baojun Chen, Mian Faisal Nazir, Lidong Huang, Yun Yuan, Guibin Cui, Xiaoyang Wang and Hongge Li. Their work appears in journals such as International Journal of Biological Macromolecules, BMC Plant Biology, Plant Physiology and Biochemistry, Journal of Molecular Modeling and Plant Science.

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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