Junsong Pan

3.1k total citations
72 papers, 2.2k citations indexed

About

Junsong Pan is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Junsong Pan has authored 72 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Plant Science, 36 papers in Genetics and 27 papers in Molecular Biology. Recurrent topics in Junsong Pan's work include Advances in Cucurbitaceae Research (36 papers), Plant Molecular Biology Research (28 papers) and Cocoa and Sweet Potato Agronomy (25 papers). Junsong Pan is often cited by papers focused on Advances in Cucurbitaceae Research (36 papers), Plant Molecular Biology Research (28 papers) and Cocoa and Sweet Potato Agronomy (25 papers). Junsong Pan collaborates with scholars based in China, United States and Belgium. Junsong Pan's co-authors include Run Cai, Huanle He, Run Cai, Jian Pan, Jingtao Nie, Hui Du, Yuan Guan, Li Zhu, Hongli Lian and Chengliang Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Junsong Pan

70 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junsong Pan China 27 1.8k 954 893 602 77 72 2.2k
Amit Gur Israel 21 1.4k 0.8× 705 0.7× 900 1.0× 85 0.1× 35 0.5× 31 1.9k
Wencai Yang China 24 1.4k 0.8× 285 0.3× 694 0.8× 56 0.1× 127 1.6× 88 1.8k
Concha Domingo Spain 18 1.4k 0.8× 179 0.2× 793 0.9× 95 0.2× 110 1.4× 33 1.7k
Abdullah Abdullah Pakistan 19 307 0.2× 253 0.3× 973 1.1× 26 0.0× 90 1.2× 56 1.2k
Gongwei Wang China 23 2.4k 1.4× 1.4k 1.5× 955 1.1× 14 0.0× 31 0.4× 33 3.0k
José Tomás Matus Spain 26 2.1k 1.2× 90 0.1× 2.2k 2.5× 18 0.0× 89 1.2× 62 2.9k
Zhongxia Luo China 7 396 0.2× 93 0.1× 279 0.3× 45 0.1× 40 0.5× 15 607
Jinxing Tu China 34 2.8k 1.6× 536 0.6× 2.9k 3.2× 26 0.0× 31 0.4× 166 3.8k
Laura Toppino Italy 24 1.3k 0.7× 404 0.4× 663 0.7× 17 0.0× 199 2.6× 48 1.6k

Countries citing papers authored by Junsong Pan

Since Specialization
Citations

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

Fields of papers citing papers by Junsong Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junsong Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Junsong Pan. A scholar is included among the top collaborators of Junsong Pan 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 Junsong Pan. Junsong Pan 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.
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.
2.
Pan, Ming, Huanle He, Gang Wang, et al.. (2024). Loss-function-of a UMP kinase leads to impaired chloroplast development and photosynthesis efficiency in cucumber. SHILAP Revista de lepidopterología. 4(1). 0–0. 3 indexed citations
3.
Nie, Jingtao, Tingting Xiao, Chunli Guo, et al.. (2023). CsPM5.2, a phosphate transporter protein‐like gene, promotes powdery mildew resistance in cucumber. The Plant Journal. 117(5). 1487–1502. 5 indexed citations
4.
Zhang, Keyan, Yue Chen, Jian Pan, et al.. (2023). Mapping and identification of CsSF4, a gene encoding a UDP-N-acetyl glucosamine-peptide N-acetylglucosaminyltransferase required for fruit elongation in cucumber (Cucumis sativus L.). Theoretical and Applied Genetics. 136(3). 54–54. 6 indexed citations
5.
Chen, Yue, Jian Pan, Hui Du, et al.. (2021). CsUFO is involved in the formation of flowers and tendrils in cucumber. Theoretical and Applied Genetics. 134(7). 2141–2150. 15 indexed citations
6.
Zhang, Keyan, Junsong Pan, Yue Chen, et al.. (2021). Mapping and identification of CsSh5.1, a gene encoding a xyloglucan galactosyltransferase required for hypocotyl elongation in cucumber (Cucumis sativus L.). Theoretical and Applied Genetics. 134(4). 979–991. 5 indexed citations
7.
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
8.
Du, Hui, Keyan Zhang, Duo Lv, et al.. (2020). A Mutation in CsYL2.1 Encoding a Plastid Isoform of Triose Phosphate Isomerase Leads to Yellow Leaf 2.1 (yl2.1) in Cucumber (Cucumis Sativus L.). International Journal of Molecular Sciences. 22(1). 322–322. 64 indexed citations
9.
10.
Sun, Jingxian, Tingting Xiao, Jingtao Nie, et al.. (2019). Mapping and identification of CsUp, a gene encoding an Auxilin-like protein, as a putative candidate gene for the upward-pedicel mutation (up) in cucumber. BMC Plant Biology. 19(1). 157–157. 7 indexed citations
11.
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
12.
Lin, Ke, Liang Gong, Yixiang Huang, Chengliang Liu, & Junsong Pan. (2019). Deep Learning-Based Segmentation and Quantification of Cucumber Powdery Mildew Using Convolutional Neural Network. Frontiers in Plant Science. 10. 155–155. 174 indexed citations
13.
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
14.
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
15.
Nie, Jingtao, Yunli Wang, Huanle He, et al.. (2015). Loss-of-Function Mutations in CsMLO1 Confer Durable Powdery Mildew Resistance in Cucumber (Cucumis sativus L.). Frontiers in Plant Science. 6. 1155–1155. 77 indexed citations
16.
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
17.
Cai, Run, et al.. (2015). Expression analysis of dihydroflavonol 4-reductase genes in Petunia hybrida. Genetics and Molecular Research. 14(2). 5010–5021. 6 indexed citations
18.
Zhang, Weiwei, Junsong Pan, Huanle He, et al.. (2011). Construction of a high density integrated genetic map for cucumber (Cucumis sativus L.). Theoretical and Applied Genetics. 124(2). 249–259. 72 indexed citations
19.
Jiang, Su, Xiaojun Yuan, Junsong Pan, Huanle He, & Run Cai. (2008). Quantitative trait locus analysis of lateral branch-related traits in cucumber (Cucumis sativus L.) using recombinant inbred lines. Science in China Series C Life Sciences. 51(9). 833–841. 4 indexed citations
20.
Cai, Run, et al.. (2002). Effects of salt stress on growth development of tomato. 18(1). 58–62. 1 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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