Yating Dong

693 citations
21 papers · 461 · h-index 12

Impact in

    • Research in Cotton Cultivation
    • Plant Stress Responses and Tolerance
    • Plant Molecular Biology Research
    • Plant Virus Research Studies

Papers in

    • Research in Cotton Cultivation 8
    • Plant Molecular Biology Research 5
    • Plant Virus Research Studies 5
    • Light effects on plants 3
    • Metabolomics and Mass Spectrometry Studies 2
    • Plant Gene Expression Analysis 2

Yating Dong

19 papers receiving 456 citations

Peers

Yating Dong
Comparison fields: 5 of 73
  • Plant Science 321
  • Endocrinology 27
  • Biochemistry 31
  • Analytical Chemistry 35
  • Molecular Biology 176
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Di Sun China
Zhixia Xiao Hong Kong
Chunying Huang China
Xiaoguang Shang China
Liang‐Sheng Wang China
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Sanjay Ghawana India
Qiuyan Ban China
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Citations per field
00.5×4.5×
Di Sun · 1×
Citations per year

Countries citing papers authored by Yating Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yating Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201676
2 202164
3 201660
4 201654
5 201745
6 201935
7 201520
8 202019
9 202218
10 202313
11 201713
12 201813
13 201811
14 20028
15 20244
16 20233
17 20242
18 20252
19 20141
20 20250

About Yating Dong

Yating Dong is a scholar working on Plant Science, Molecular Biology, Surgery, Cognitive Neuroscience and Complementary and alternative medicine, having authored 21 papers that have together received 461 indexed citations. Recurring topics across this work include Research in Cotton Cultivation (8 papers), Plant Molecular Biology Research (5 papers), Plant Virus Research Studies (5 papers), Light effects on plants (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Plant Gene Expression Analysis (2 papers), Traditional Chinese Medicine Analysis (2 papers) and Spinal Fractures and Fixation Techniques (2 papers). The work is most often cited by research in Plant Science (321 citations), Endocrinology (27 citations), Biochemistry (31 citations), Analytical Chemistry (35 citations) and Molecular Biology (176 citations). Yating Dong has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Shuijin Zhu, Jinhong Chen, Qiuling He, Tianlun Zhao, Yi Zhang, Muhammad Daud, Cheng Li, Lei Mei, Cong Li and Fan Zhang. Their work appears in journals such as Frontiers in Plant Science, The Plant Journal, Clinical & Translational Oncology, Scientific Reports and Food Chemistry.

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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