Run Cai

968 citations
25 papers · 684 · h-index 16

Impact in

    • Cocoa and Sweet Potato Agronomy
    • Plant Molecular Biology Research
    • Plant Virus Research Studies

Papers in

    • Plant Molecular Biology Research 12
    • Aluminum toxicity and tolerance in plants and animals 2
    • Plant Surface Properties and Treatments 2
    • Rice Cultivation and Yield Improvement 2
    • Plant Reproductive Biology 7
    • Plant Gene Expression Analysis 6
    • Plant tissue culture and regeneration 3

Run Cai

24 papers receiving 671 citations

Peers

Run Cai
Comparison fields: 5 of 65
  • Horticulture 76
  • Plant Science 509
  • Genetics 190
  • Molecular Biology 360
  • Biochemistry 25
Replace Shaoyun Dong with:
Shaoyun Dong China
Xulan Hu United States
Tadayuki Wako Japan
Christina Rønn Ingvardsen Denmark
Yoshiyuki Imura Japan
Johannes Jansen Netherlands
Xiaojiao Hu China
Gertraud Stift Austria
Patrick Wechter United States
Ibrahim Wasiu Arolu Malaysia
Run Cai relative to Shaoyun Dong China Shaoyun Dong's profile →
Citations per field
00.5×10.5×
Shaoyun Dong · 1×
Citations per year

Countries citing papers authored by Run Cai

Since Specialization
Citations

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

Fields of papers citing papers by Run Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201585
2 200681
3 201574
4 201743
5 201843
6 200540
7 200837
8 200735
9 202029
10 201527
11 202125
12 201525
13 202421
14 201720
15 202118
16 201316
17
Rapid Determination of Silicon Content in Rice
200515
18 202213
19 201810
20 201910

About Run Cai

Run Cai is a scholar working on Plant Science, Molecular Biology, Genetics, Horticulture and Epidemiology, having authored 25 papers that have together received 684 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (12 papers), Plant Reproductive Biology (7 papers), Plant Gene Expression Analysis (6 papers), Advances in Cucurbitaceae Research (6 papers), Plant tissue culture and regeneration (3 papers), Aluminum toxicity and tolerance in plants and animals (2 papers), Plant Surface Properties and Treatments (2 papers) and Rice Cultivation and Yield Improvement (2 papers). The work is most often cited by research in Horticulture (76 citations), Plant Science (509 citations), Genetics (190 citations), Molecular Biology (360 citations) and Biochemistry (25 citations). Run Cai has collaborated with scholars based in China and United States. Frequent co-authors include Junsong Pan, Huanle He, Jian Pan, Hongli Lian, Junlong Zhao, Jingtao Nie, Chunli Guo, Hai Huang, Hua Wang and Wanqi Liang. Their work appears in journals such as Frontiers in Plant Science, Theoretical and Applied Genetics, Protein & Cell, Plant Physiology and Biochemistry and International Journal of Infectious Diseases.

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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