Feng Cui

618 citations
18 papers · 432 · h-index 11

Impact in

    • Plant Stress Responses and Tolerance
    • Plant Molecular Biology Research
    • Peanut Plant Research Studies
    • Plant nutrient uptake and metabolism
    • Legume Nitrogen Fixing Symbiosis
    • Photosynthetic Processes and Mechanisms
    • Plant Gene Expression Analysis
    • Ubiquitin and proteasome pathways

Papers in

    • Plant Stress Responses and Tolerance 4
    • Peanut Plant Research Studies 4
    • Plant Molecular Biology Research 3
    • Coconut Research and Applications 3

Feng Cui

17 papers receiving 430 citations

Peers

Feng Cui
Comparison fields: 5 of 65
  • Plant Science 284
  • Molecular Biology 230
  • Horticulture 2
  • Cancer Research 24
  • Inorganic Chemistry 20
Replace Sayaka Takehara with:
Sayaka Takehara Japan
Mei Hua Cui South Korea
Sahra Uygun United States
Pengcheng Li China
Mika Hayashi Japan
Anupama Khanna United States
Linfeng Chen China
Christelle Mazubert France
Meng Ma China
Sau Yee Kok Malaysia
Feng Cui relative to Sayaka Takehara Japan Sayaka Takehara's profile →
Citations per field
00.5×2×3×4×
Sayaka Takehara · 1×
Citations per year

Countries citing papers authored by Feng Cui

Since Specialization
Citations

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

Fields of papers citing papers by Feng Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201892
2 202059
3 201755
4 202234
5 202032
6 201430
7 202229
8 202221
9 201919
10 202217
11 201917
12 201611
13 20176
14 20244
15 20263
16 20252
17
[Effect of bevacizumab on proliferation and invasion of human lung cancer A549 cells].
20151
18 20250

About Feng Cui

Feng Cui is a scholar working on Plant Science, Inorganic Chemistry, Biochemistry, Molecular Biology and Cancer Research, having authored 18 papers that have together received 432 indexed citations. Recurring topics across this work include Plant Stress Responses and Tolerance (4 papers), Peanut Plant Research Studies (4 papers), Plant Molecular Biology Research (3 papers), Coconut Research and Applications (3 papers), Lipid metabolism and biosynthesis (2 papers), Circular RNAs in diseases (2 papers), Ubiquitin and proteasome pathways (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Plant Science (284 citations), Molecular Biology (230 citations), Horticulture (2 citations), Cancer Research (24 citations) and Inorganic Chemistry (20 citations). Feng Cui has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shubo Wan, Yiyang Liu, Guowei Li, Yan Han, Shanshan Liu, Guangyou Duan, Na Sui, Guoxin Xu, Guowei Li and Danlu Han. Their work appears in journals such as Plant Biotechnology Journal, Frontiers in Plant Science, BMC Plant Biology, Frontiers in Public Health 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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