Ruiju Lu

595 total citations
37 papers, 413 citations indexed

About

Ruiju Lu is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Ruiju Lu has authored 37 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 18 papers in Molecular Biology and 6 papers in Agronomy and Crop Science. Recurrent topics in Ruiju Lu's work include Plant tissue culture and regeneration (15 papers), Plant nutrient uptake and metabolism (10 papers) and Wheat and Barley Genetics and Pathology (6 papers). Ruiju Lu is often cited by papers focused on Plant tissue culture and regeneration (15 papers), Plant nutrient uptake and metabolism (10 papers) and Wheat and Barley Genetics and Pathology (6 papers). Ruiju Lu collaborates with scholars based in China, United Kingdom and Pakistan. Ruiju Lu's co-authors include Chenghong Liu, Guimei Guo, Zhiwei Chen, Runhong Gao, Jianhua Huang, Ting He, Hongwei Xu, Yingbo Li, Longhua Zhou and Jianhua Huang and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Plant Science and BMC Genomics.

In The Last Decade

Ruiju Lu

37 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruiju Lu China 14 373 170 36 35 31 37 413
Khela Ram Soren India 11 421 1.1× 67 0.4× 29 0.8× 48 1.4× 21 0.7× 45 459
Vikas Gupta Denmark 8 372 1.0× 154 0.9× 21 0.6× 17 0.5× 58 1.9× 10 434
Mazahar Moin India 11 431 1.2× 290 1.7× 34 0.9× 17 0.5× 13 0.4× 23 507
Fugui Zhu China 11 524 1.4× 309 1.8× 44 1.2× 19 0.5× 61 2.0× 12 627
Tinku Gautam India 13 449 1.2× 120 0.7× 75 2.1× 8 0.2× 48 1.5× 23 481
Yongsheng Yan China 10 595 1.6× 211 1.2× 52 1.4× 10 0.3× 18 0.6× 17 647
Manrong Zha China 8 370 1.0× 143 0.8× 14 0.4× 67 1.9× 25 0.8× 14 408
Eryong Chen China 12 544 1.5× 300 1.8× 15 0.4× 32 0.9× 17 0.5× 21 596
Achala Bakshi India 9 368 1.0× 252 1.5× 27 0.8× 18 0.5× 9 0.3× 19 437
Philippe Lessard France 7 536 1.4× 302 1.8× 38 1.1× 14 0.4× 11 0.4× 8 593

Countries citing papers authored by Ruiju Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ruiju Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiju Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Ruiju Lu. A scholar is included among the top collaborators of Ruiju Lu 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 Ruiju Lu. Ruiju Lu 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.
Halford, Nigel G., et al.. (2023). Genetic Diversity and Population Structure Analysis of Barley Landraces from Shanghai Region Using Genotyping-by-Sequencing. Phyton. 92(4). 1275–1287. 2 indexed citations
2.
Chen, Zhiwei, Qi Jiang, Guimei Guo, et al.. (2023). Rapid Generation of Barley Homozygous Transgenic Lines Based on Microspore Culture: HvPR1 Overexpression as an Example. International Journal of Molecular Sciences. 24(5). 4945–4945. 2 indexed citations
3.
Zhou, Longhua, Ting He, Jing Li, et al.. (2022). Phytohormones Accumulation and Distribution in Shoots and Roots of Haploid, Diploid and Tetraploid Barley Seedlings Derived from Microspore Culture. Phyton. 91(7). 1419–1428. 2 indexed citations
4.
Zhou, Longhua, et al.. (2022). Integrated analysis of transcriptome and metabolome reveals molecular mechanisms of salt tolerance in seedlings of upland rice landrace 17SM-19. Frontiers in Plant Science. 13. 961445–961445. 8 indexed citations
5.
Wang, Haiyan, Haojie Sun, Yingbo Li, et al.. (2022). A chromosome-scale genome assembly of Dasypyrum villosum provides insights into its application as a broad-spectrum disease resistance resource for wheat improvement. Molecular Plant. 16(2). 432–451. 22 indexed citations
6.
7.
Chen, Yunyun, Hongwei Xu, Ting He, et al.. (2021). Comparative Analysis of Morphology, Photosynthetic Physiology, and Transcriptome Between Diploid and Tetraploid Barley Derived From Microspore Culture. Frontiers in Plant Science. 12. 626916–626916. 18 indexed citations
8.
Shah, Faheem Afzal, Xiao Wei, Qiaojian Wang, et al.. (2020). Karrikin Improves Osmotic and Salt Stress Tolerance via the Regulation of the Redox Homeostasis in the Oil Plant Sapium sebiferum. Frontiers in Plant Science. 11. 216–216. 60 indexed citations
9.
Chen, Zhiwei, Qi Jiang, Panpan Jiang, et al.. (2020). Novel low-nitrogen stress-responsive long non-coding RNAs (lncRNA) in barley landrace B968 (Liuzhutouzidamai) at seedling stage. BMC Plant Biology. 20(1). 142–142. 24 indexed citations
10.
11.
Guo, Guimei, Longhua Zhou, Yunyun Chen, et al.. (2019). Transcriptome Analysis Identifies Candidate Genes and Functional Pathways Controlling the Response of Two Contrasting Barley Varieties to Powdery Mildew Infection. International Journal of Molecular Sciences. 21(1). 151–151. 18 indexed citations
12.
Guo, Guimei, Ting He, Runhong Gao, et al.. (2018). Transient Overexpression of HvSERK2 Improves Barley Resistance to Powdery Mildew. International Journal of Molecular Sciences. 19(4). 1226–1226. 8 indexed citations
13.
Chen, Zhiwei, Chenghong Liu, Yifei Wang, et al.. (2018). Expression Analysis of Nitrogen Metabolism-Related Genes Reveals Differences in Adaptation to Low-Nitrogen Stress between Two Different Barley Cultivars at Seedling Stage. International Journal of Genomics. 2018. 1–10. 24 indexed citations
14.
Liu, Chenghong, Ruiju Lu, Guimei Guo, et al.. (2016). Transcriptome analysis reveals translational regulation in barley microspore-derived embryogenic callus under salt stress. Plant Cell Reports. 35(8). 1719–1728. 13 indexed citations
15.
Lu, Ruiju, et al.. (2012). Genetic diversity analysis of barley landraces and cultivars in the Shanghai region of China. Genetics and Molecular Research. 11(1). 644–650. 19 indexed citations
16.
Chen, Zhiwei, Ting He, Ruiju Lu, et al.. (2010). Biological responses of different-genotype barleys to low nitrogen stress at seedling stage.. Shanghai nongye xuebao. 26(1). 28–32. 1 indexed citations
17.
Lu, Ruiju, et al.. (2009). Effects of Pingyangmycin treatment on seed germination and survival rate of in vitro stem apexes of Brassica oleracea var.botrytis. Shanghai nongye xuebao. 25(4). 14–17. 1 indexed citations
18.
Chen, Zhiwei, et al.. (2009). The relationship between the traits for low-N tolerance of barley genotypes at the seedling stage and their grain yield.. Mailei zuowu xuebao. 30(1). 158–162. 1 indexed citations
19.
Lu, Ruiju. (2007). In vitro culture and tetraploid induction of Hypericum perforatum L.. Shanghai nongye xuebao. 1 indexed citations
20.
Lu, Ruiju, et al.. (2000). Regeneration of transgenic tomato plants expressing rice chitinase gene via Agrobacterium tumefaciens-mediated transformation.. Shanghai nongye xuebao. 16(4). 18–20. 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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