Run Cai

839 citations
25 papers · 670 · h-index 16

Impact in

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

Papers in

    • Plant Molecular Biology Research 13
    • Research in Cotton Cultivation 2
    • Rice Cultivation and Yield Improvement 2
    • Silicon Effects in Agriculture 2
    • Plant Reproductive Biology 8
    • Plant Gene Expression Analysis 6
    • Plant tissue culture and regeneration 3

Run Cai

23 papers receiving 659 citations

Peers

Run Cai
Comparison fields: 5 of 71
  • Horticulture 75
  • Plant Science 523
  • Genetics 193
  • Molecular Biology 370
  • Biochemistry 25
Replace Shaoyun Dong with:
Shaoyun Dong China
Xulan Hu United States
Christina Rønn Ingvardsen Denmark
Sue A. Hammar United States
Johannes Jansen Netherlands
Xue Xia China
Peiying Hao China
Tadayuki Wako Japan
Gertraud Stift Austria
Freddy Ibáñez United States
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 201583
2 200681
3 201572
4 201743
5 201842
6 200539
7 200837
8 200735
9 201527
10 202026
11 202125
12 201525
13 201720
14 202420
15 202117
16 201316
17
Rapid Determination of Silicon Content in Rice
200515
18 202212
19 201910
20 20189

About Run Cai

Run Cai is a scholar working on Plant Science, Molecular Biology, Genetics, Horticulture and Health, having authored 25 papers that have together received 670 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (13 papers), Plant Reproductive Biology (8 papers), Advances in Cucurbitaceae Research (7 papers), Plant Gene Expression Analysis (6 papers), Plant tissue culture and regeneration (3 papers), Research in Cotton Cultivation (2 papers), Rice Cultivation and Yield Improvement (2 papers) and Silicon Effects in Agriculture (2 papers). The work is most often cited by research in Horticulture (75 citations), Plant Science (523 citations), Genetics (193 citations), Molecular Biology (370 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, Jingtao Nie, Yuan Guan, Junlong Zhao, Chunli Guo, Hua Wang and Wanqi Liang. Their work appears in journals such as Theoretical and Applied Genetics, Horticulture Research, Frontiers in Plant Science, Molecular Genetics and Genomics and Protein & Cell.

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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