Ying Cui

1.2k citations
48 papers · 542 · h-index 14

Impact in

    • Plant Molecular Biology Research
    • Plant Stress Responses and Tolerance
    • Plant tissue culture and regeneration
    • Plant Gene Expression Analysis
    • RNA modifications and cancer

Papers in

    • Plant Gene Expression Analysis 5
    • Plant tissue culture and regeneration 5
    • Phytochemical Studies and Bioactivities 5
    • RNA modifications and cancer 4
    • Cancer-related gene regulation 4
    • Plant Reproductive Biology 4
    • Plant Molecular Biology Research 6
    • Plant Stress Responses and Tolerance 4

Ying Cui

41 papers receiving 536 citations

Peers

Ying Cui
Comparison fields: 5 of 99
  • Plant Science 168
  • Molecular Biology 305
  • Cancer Research 56
  • Global and Planetary Change 54
  • Endocrinology 9
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Citations per field
00.5×
Huilin Guan · 1×
Citations per year

Countries citing papers authored by Ying Cui

Since Specialization
Citations

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

Fields of papers citing papers by Ying Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200965
2 201160
3 202046
4 202139
5 202125
6 202221
7 201719
8 202218
9 202318
10 201418
11 202316
12 202216
13 202214
14 202213
15 201413
16 202312
17 202212
18 202412
19 202112
20 202311

About Ying Cui

Ying Cui is a scholar working on Molecular Biology, Plant Science, Immunology, Cell Biology and Biomaterials, having authored 48 papers that have together received 542 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (6 papers), Plant Gene Expression Analysis (5 papers), Plant tissue culture and regeneration (5 papers), Phytochemical Studies and Bioactivities (5 papers), Plant Stress Responses and Tolerance (4 papers), RNA modifications and cancer (4 papers), Cancer-related gene regulation (4 papers) and Plant Reproductive Biology (4 papers). The work is most often cited by research in Plant Science (168 citations), Molecular Biology (305 citations), Cancer Research (56 citations), Global and Planetary Change (54 citations) and Endocrinology (9 citations). Ying Cui has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Vijay P. Singh, Chunling Liu, Qiang Zhang, Gang Wang, Guangfeng Zhang, Xu Song, Alan Garen, Lisheng Kong, Jian Zhao and Ruirui Zhao. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Plant Science, Molecules, Forests and Journal of the Science of Food and Agriculture.

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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