Run Cai

839 total citations
25 papers, 670 citations indexed

About

Run Cai is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Run Cai has authored 25 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 13 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Run Cai's work include Plant Molecular Biology Research (13 papers), Plant Reproductive Biology (8 papers) and Advances in Cucurbitaceae Research (7 papers). Run Cai is often cited by papers focused on Plant Molecular Biology Research (13 papers), Plant Reproductive Biology (8 papers) and Advances in Cucurbitaceae Research (7 papers). Run Cai collaborates with scholars based in China and United States. Run Cai's co-authors include Junsong Pan, Huanle He, Jian Pan, Hongli Lian, Jingtao Nie, Yuan Guan, Junlong Zhao, Chunli Guo, Wanqi Liang and Limin Pi and has published in prestigious journals such as The Plant Cell, Journal of Experimental Botany and Frontiers in Plant Science.

In The Last Decade

Run Cai

23 papers receiving 659 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Run Cai China 16 523 370 193 75 25 25 670
Shaoyun Dong China 13 314 0.6× 158 0.4× 155 0.8× 92 1.2× 6 0.2× 32 410
Sue A. Hammar United States 10 319 0.6× 143 0.4× 137 0.7× 68 0.9× 25 1.0× 12 377
Xue Xia China 10 223 0.4× 119 0.3× 39 0.2× 27 0.4× 55 2.2× 37 588
Christina Rønn Ingvardsen Denmark 11 375 0.7× 144 0.4× 132 0.7× 10 0.1× 8 0.3× 17 427
Xulan Hu United States 6 305 0.6× 116 0.3× 32 0.2× 80 1.1× 23 0.9× 7 346
Tadayuki Wako Japan 13 421 0.8× 77 0.2× 109 0.6× 50 0.7× 31 1.2× 46 473
Nasrullah NASRULLAH Indonesia 10 210 0.4× 89 0.2× 38 0.2× 12 0.2× 16 0.6× 36 318
Gertraud Stift Austria 9 432 0.8× 131 0.4× 248 1.3× 31 0.4× 22 0.9× 9 516
Freddy Ibáñez United States 12 302 0.6× 119 0.3× 19 0.1× 52 0.7× 18 0.7× 30 433
Yufeng Fang United States 8 481 0.9× 258 0.7× 15 0.1× 6 0.1× 17 0.7× 14 620

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-authorship network of co-authors of Run Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Run Cai. A scholar is included among the top collaborators of Run Cai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Run Cai. Run Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yu, Yang, Jiajing He, Yuying Jiang, et al.. (2025). A novel MLO protein CsMLO4 plays an essential role in cucumber resistance to target leaf spot. Horticulture Research. 12(12). uhaf225–uhaf225.
2.
Du, Hui, Yue Chen, Juan Liu, et al.. (2024). FS2 encodes an ARID-HMG transcription factor that regulates fruit spine density in cucumber. Journal of Integrative Agriculture. 24(3). 1080–1091.
3.
Guo, Rui, Run Cai, Lei Liu, et al.. (2024). Metabolomic and physiological analysis of alfalfa (Medicago sativa L.) in response to saline and alkaline stress. Plant Physiology and Biochemistry. 207. 108338–108338. 20 indexed citations
4.
Lv, Duo, Gang Wang, Qi Zhang, et al.. (2022). Comparative Transcriptome Analysis of Hard and Tender Fruit Spines of Cucumber to Identify Genes Involved in the Morphological Development of Fruit Spines. Frontiers in Plant Science. 13. 797433–797433. 8 indexed citations
6.
Pan, Jian, Guanqun Chen, Yue Chen, et al.. (2021). Study of micro-trichome (mict) reveals novel connections between transcriptional regulation of multicellular trichome development and specific metabolism in cucumber. Horticulture Research. 8(1). 21–21. 25 indexed citations
7.
Lv, Duo, Jian Pan, Keyan Zhang, et al.. (2021). A SNP of HD-ZIP I transcription factor leads to distortion of trichome morphology in cucumber (Cucumis sativus L.). BMC Plant Biology. 21(1). 182–182. 17 indexed citations
8.
Du, Hui, Gang Wang, Jian Pan, et al.. (2020). The HD-ZIP IV transcription factor Tril regulates fruit spine density through gene dosage effects in cucumber. Journal of Experimental Botany. 71(20). 6297–6310. 26 indexed citations
9.
Pan, Jian, Gang Wang, Hui Du, et al.. (2019). Cucumber CsTRY Negatively Regulates Anthocyanin Biosynthesis and Trichome Formation When Expressed in Tobacco. Frontiers in Plant Science. 10. 1232–1232. 10 indexed citations
10.
Li, Cheng, et al.. (2018). Cloning and functional analysis of CsWIN1, a transcription factor regulated the wax synthesis in cucumber.. Acta Horticulturae Sinica. 45(2). 359–370. 1 indexed citations
11.
Chu, Jiang, et al.. (2018). A hospital-associated measles outbreak in health workers in Beijing: Implications for measles elimination in China, 2018. International Journal of Infectious Diseases. 78. 85–92. 9 indexed citations
12.
Guo, Chunli, Xuqin Yang, Jingtao Nie, et al.. (2017). Identification and mapping of ts (tender spines), a gene involved in soft spine development in Cucumis sativus. Theoretical and Applied Genetics. 131(1). 1–12. 43 indexed citations
13.
Xie, Bo, Zhaohui Su, Wenhui Zhang, & Run Cai. (2017). Chinese Cardiovascular Disease Mobile Apps’ Information Types, Information Quality, and Interactive Functions for Self-Management: Systematic Review. JMIR mhealth and uhealth. 5(12). e195–e195. 20 indexed citations
14.
Zhao, Junlong, Junsong Pan, Yuan Guan, et al.. (2015). Transcriptome analysis in Cucumis sativus identifies genes involved in multicellular trichome development. Genomics. 105(5-6). 296–303. 27 indexed citations
15.
Wang, Yunli, Jingtao Nie, Huiming Chen, et al.. (2015). Identification and mapping of Tril, a homeodomain-leucine zipper gene involved in multicellular trichome initiation in Cucumis sativus. Theoretical and Applied Genetics. 129(2). 305–316. 83 indexed citations
16.
Zhao, Junlong, et al.. (2015). Transcriptome profiling of trichome-less reveals genes associated with multicellular trichome development in Cucumis sativus. Molecular Genetics and Genomics. 290(5). 2007–2018. 25 indexed citations
17.
Tian, Yong‐Sheng, Zhi‐Sheng Xu, Wei Zhao, et al.. (2012). Identification of a new gene encoding 5-enolpyruvylshikimate-3-phosphate synthase using genomic library construction strategy. Molecular Biology Reports. 39(12). 10939–10947. 7 indexed citations
18.
Huang, Weihua, Limin Pi, Wanqi Liang, et al.. (2006). The Proteolytic Function of theArabidopsis26S Proteasome Is Required for Specifying Leaf Adaxial Identity. The Plant Cell. 18(10). 2479–2492. 81 indexed citations
19.
Dai, Weimin, et al.. (2005). Rapid Determination of Silicon Content in Rice. Rice Science. 12(2). 145–147. 15 indexed citations
20.
Wang, Gang, et al.. (2005). Construction of a cucumber genetic linkage map with SRAP markers and location of the genes for lateral branch traits. Science in China Series C Life Sciences. 48(3). 213–220. 39 indexed citations

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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