Runrun Sun

1.4k citations
29 papers · 1.0k · h-index 15

Impact in

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

Papers in

    • Plant Molecular Biology Research 15
    • Research in Cotton Cultivation 15
    • Plant Virus Research Studies 8
    • Plant Stress Responses and Tolerance 5
    • Plant and Fungal Interactions Research 3

Runrun Sun

29 papers receiving 1.0k citations

Peers

Runrun Sun
Comparison fields: 5 of 106
  • Plant Science 796
  • Horticulture 10
  • Molecular Biology 447
  • Endocrinology 31
  • Biomaterials 30
Replace Cheng Zhou with:
Cheng Zhou China
Jinlu Li China
Jinlei Han China
Zhengwen Liu China
Yanhui Wang China
Dong Yu China
Dhandapani Gurusamy India
Sara M. Díaz-Moreno Sweden
Jianping Yang China
Fangyuan Zhou China
Runrun Sun relative to Cheng Zhou China Cheng Zhou's profile →
Citations per field
00.5×2×4×5.3×
Cheng Zhou · 1×
Citations per year

Countries citing papers authored by Runrun Sun

Since Specialization
Citations

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

Fields of papers citing papers by Runrun Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014207
2 2017126
3 2016113
4 201599
5 201483
6 201865
7 202059
8 201441
9 201541
10 201733
11 202219
12 201417
13 201817
14 202116
15 201915
16 202014
17 201513
18 201513
19 201510
20 20228

About Runrun Sun

Runrun Sun is a scholar working on Plant Science, Endocrinology, Molecular Biology, Horticulture and Ecological Modeling, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (15 papers), Research in Cotton Cultivation (15 papers), Plant Virus Research Studies (8 papers), Plant Stress Responses and Tolerance (5 papers), Plant tissue culture and regeneration (4 papers), Plant Reproductive Biology (3 papers), Plant and Fungal Interactions Research (3 papers) and Plant Gene Expression Analysis (3 papers). The work is most often cited by research in Plant Science (796 citations), Horticulture (10 citations), Molecular Biology (447 citations), Endocrinology (31 citations) and Biomaterials (30 citations). Runrun Sun has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Baohong Zhang, Qinglian Wang, Fuliang Xie, Don C. Jones, Jun Ma, Chengqi Li, Qinglian Wang, Qiuling He, Yuanyuan Wang and Fei Li. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences, Functional & Integrative Genomics, International Journal of Biological Macromolecules and Frontiers in 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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