Jun Ren

993 total citations
22 papers, 695 citations indexed

About

Jun Ren is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Jun Ren has authored 22 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Plant Science and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Jun Ren's work include Plant Stress Responses and Tolerance (5 papers), Photosynthetic Processes and Mechanisms (5 papers) and Bioinformatics and Genomic Networks (4 papers). Jun Ren is often cited by papers focused on Plant Stress Responses and Tolerance (5 papers), Photosynthetic Processes and Mechanisms (5 papers) and Bioinformatics and Genomic Networks (4 papers). Jun Ren collaborates with scholars based in China, United States and Canada. Jun Ren's co-authors include Xiaoming Song, Tongkun Liu, Weike Duan, Xilin Hou, Zhinan Huang, Ying Li, Min Li, Qinghua Ma, Zhen Wang and Ying Li and has published in prestigious journals such as PLANT PHYSIOLOGY, Oncogene and Journal of Experimental Botany.

In The Last Decade

Jun Ren

21 papers receiving 689 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Ren China 16 516 450 39 37 37 22 695
Ahmad Tahmasebi Iran 14 247 0.5× 295 0.7× 45 1.2× 16 0.4× 44 1.2× 51 557
Xiaoji Wang China 16 479 0.9× 699 1.6× 87 2.2× 22 0.6× 19 0.5× 28 937
S. M. Shahinul Islam Bangladesh 13 310 0.6× 311 0.7× 22 0.6× 8 0.2× 31 0.8× 54 471
Raghunandan M. Kainkaryam United States 8 294 0.6× 281 0.6× 22 0.6× 48 1.3× 24 0.6× 10 491
Pulugurtha Bharadwaja Kirti India 20 745 1.4× 696 1.5× 28 0.7× 6 0.2× 28 0.8× 39 1.0k
Fulei Nie China 13 515 1.0× 154 0.3× 22 0.6× 57 1.5× 49 1.3× 18 615
Hui Ren China 12 340 0.7× 220 0.5× 25 0.6× 6 0.2× 52 1.4× 29 503
Yaping Yuan China 13 313 0.6× 375 0.8× 58 1.5× 7 0.2× 8 0.2× 31 563
Fuyan Liu China 9 297 0.6× 317 0.7× 34 0.9× 5 0.1× 31 0.8× 22 505
Likai Wang China 16 527 1.0× 758 1.7× 30 0.8× 5 0.1× 12 0.3× 33 890

Countries citing papers authored by Jun Ren

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Ren. A scholar is included among the top collaborators of Jun Ren 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 Jun Ren. Jun Ren 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.
Liang, Peng, Yang Zeng, Jie Ning, et al.. (2025). A plant virus manipulates both its host plant and the insect that facilitates its transmission. Science Advances. 11(9). eadr4563–eadr4563. 2 indexed citations
2.
Liu, Bin, et al.. (2024). BHLHE40-mediated transcriptional activation of GRIN2D in gastric cancer is involved in metabolic reprogramming. Functional & Integrative Genomics. 24(6). 214–214. 4 indexed citations
3.
Wang, Jian, et al.. (2023). Development of Specific Molecular and Phenotypic Marker-Based Haploid Inducers in Rice. Agronomy. 13(6). 1520–1520.
4.
Xiong, Jie, et al.. (2023). Synthetic apomixis: the beginning of a new era. Current Opinion in Biotechnology. 79. 102877–102877. 30 indexed citations
5.
Peng, Zhengke, Qi Su, Jun Ren, et al.. (2023). A novel salivary effector, BtE3, is essential for whitefly performance on host plants. Journal of Experimental Botany. 74(6). 2146–2159. 16 indexed citations
6.
Li, Nan, Tong Yu, Zhiyuan Wang, et al.. (2022). The Brassicaceae genome resource (TBGR): A comprehensive genome platform for Brassicaceae plants. PLANT PHYSIOLOGY. 190(1). 226–237. 22 indexed citations
7.
Yu, Tong, Xiao Ma, Zhuo Liu, et al.. (2022). TVIR: a comprehensive vegetable information resource database for comparative and functional genomic studies. Horticulture Research. 9. uhac213–uhac213. 19 indexed citations
8.
Fan, Caixia, Xiaomin Liu, Wenfeng Li, et al.. (2019). Circular RNA circ KMT2E is up-regulated in diabetic cataract lenses and is associated with miR-204-5p sponge function. Gene. 710. 170–177. 42 indexed citations
9.
Hu, Yang, Wenyang Zhou, Jun Ren, et al.. (2016). Annotating the Function of the Human Genome with Gene Ontology and Disease Ontology. BioMed Research International. 2016. 1–8. 17 indexed citations
10.
Duan, Weike, Jun Ren, Yán Li, et al.. (2016). Conservation and Expression Patterns Divergence of Ascorbic Acid d-mannose/l-galactose Pathway Genes in Brassica rapa. Frontiers in Plant Science. 7. 778–778. 15 indexed citations
11.
Ren, Jun, Jianxin Wang, Min Li, & Fang‐Xiang Wu. (2015). Discovering essential proteins based on PPI network and protein complex. International Journal of Data Mining and Bioinformatics. 12(1). 24–24. 20 indexed citations
12.
Duan, Weike, Xiaoming Song, Tongkun Liu, et al.. (2014). Patterns of Evolutionary Conservation of Ascorbic Acid-Related Genes Following Whole-Genome Triplication in Brassica rapa. Genome Biology and Evolution. 7(1). 299–313. 20 indexed citations
13.
Duan, Weike, Xiaoming Song, Tongkun Liu, et al.. (2014). Genome-wide analysis of the MADS-box gene family in Brassica rapa (Chinese cabbage). Molecular Genetics and Genomics. 290(1). 239–255. 77 indexed citations
14.
Song, Xiaoming, Gaofeng Liu, Weike Duan, et al.. (2014). Genome-wide identification, classification and expression analysis of the heat shock transcription factor family in Chinese cabbage. Molecular Genetics and Genomics. 289(4). 541–551. 75 indexed citations
15.
Song, Xiaoming, Tongkun Liu, Weike Duan, et al.. (2013). Genome-wide analysis of the GRAS gene family in Chinese cabbage (Brassica rapa ssp. pekinensis). Genomics. 103(1). 135–146. 116 indexed citations
16.
Ren, Jun, Zhongwen Chen, Weike Duan, et al.. (2013). Comparison of ascorbic acid biosynthesis in different tissues of three non-heading Chinese cabbage cultivars. Plant Physiology and Biochemistry. 73. 229–236. 30 indexed citations
17.
Song, Xiaoming, Zhinan Huang, Weike Duan, et al.. (2013). Genome-wide analysis of the bHLH transcription factor family in Chinese cabbage (Brassica rapa ssp. pekinensis). Molecular Genetics and Genomics. 289(1). 77–91. 104 indexed citations
18.
Ren, Jun, Jianxin Wang, Min Li, & Lusheng Wang. (2013). Identifying protein complexes based on density and modularity in protein-protein interaction network. BMC Systems Biology. 7(S4). S12–S12. 21 indexed citations
19.
Wang, Jianxin, Jun Ren, Min Li, & Fang‐Xiang Wu. (2012). Identification of Hierarchical and Overlapping Functional Modules in PPI Networks. IEEE Transactions on NanoBioscience. 11(4). 386–393. 34 indexed citations
20.
Fukao, Toshiyuki, Philip Chen, Jun Ren, et al.. (2004). Disruption of the BLM gene in ATM-null DT40 cells does not exacerbate either phenotype. Oncogene. 23(8). 1498–1506. 6 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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