Cairui Lu

4.2k total citations
9 papers, 250 citations indexed

About

Cairui Lu is a scholar working on Plant Science, Endocrinology and Genetics. According to data from OpenAlex, Cairui Lu has authored 9 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 3 papers in Endocrinology and 2 papers in Genetics. Recurrent topics in Cairui Lu's work include Research in Cotton Cultivation (7 papers), Plant Virus Research Studies (4 papers) and Plant and Fungal Interactions Research (3 papers). Cairui Lu is often cited by papers focused on Research in Cotton Cultivation (7 papers), Plant Virus Research Studies (4 papers) and Plant and Fungal Interactions Research (3 papers). Cairui Lu collaborates with scholars based in China and United States. Cairui Lu's co-authors include Changsong Zou, Youping Zhang, Hailiang Cheng, Guoli Song, Qiaolian Wang, Meizhen Song, Shuxun Yu, Wu Wang, Shuli Fan and Zhongxu Lin and has published in prestigious journals such as PLoS ONE, Theoretical and Applied Genetics and BMC Genomics.

In The Last Decade

Cairui Lu

9 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cairui Lu China	7	215	83	69	27	15	9	250
Swati Megha Canada	8	336 1.6×	170 2.0×	69 1.0×	33 1.2×	7 0.5×	14	382
Pavan Kumar India	5	531 2.5×	125 1.5×	45 0.7×	8 0.3×	5 0.3×	8	551
Jiafa Wang China	10	348 1.6×	306 3.7×	40 0.6×	32 1.2×	22 1.5×	22	423
Qingshuai Chen China	8	227 1.1×	159 1.9×	16 0.2×	15 0.6×	6 0.4×	14	270
Jianguang Liu China	7	160 0.7×	73 0.9×	16 0.2×	7 0.3×	15 1.0×	14	178
Yanpeng Xi United States	7	327 1.5×	274 3.3×	43 0.6×	42 1.6×	9 0.6×	9	425
Tzuu‐fen Lee United States	8	428 2.0×	313 3.8×	19 0.3×	23 0.9×	28 1.9×	10	509
Guangzhi Mao China	9	261 1.2×	90 1.1×	55 0.8×	3 0.1×	37 2.5×	15	299
Hushuai Nie China	9	223 1.0×	223 2.7×	26 0.4×	6 0.2×	22 1.5×	19	324
Yourong Fan China	6	303 1.4×	218 2.6×	39 0.6×	21 0.8×	62 4.1×	16	355

Countries citing papers authored by Cairui Lu

Since Specialization

Citations

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

Fields of papers citing papers by Cairui Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cairui Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Cairui Lu. A scholar is included among the top collaborators of Cairui 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 Cairui Lu. Cairui Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Yu, Min, Changsong Zou, Cairui Lu, et al.. (2019). Genome-wide comparative analysis of RNA-binding Glycine-rich protein family genes between Gossypium arboreum and Gossypium raimondii. PLoS ONE. 14(6). e0218938–e0218938. 13 indexed citations

2.

Cheng, Hailiang, Cairui Lu, John Z. Yu, et al.. (2016). Fine mapping and candidate gene analysis of the dominant glandless gene Gl 2 e in cotton (Gossypium spp.). Theoretical and Applied Genetics. 129(7). 1347–1355. 28 indexed citations

3.

Zou, Changsong, Qiaolian Wang, Cairui Lu, et al.. (2016). Transcriptome analysis reveals long noncoding RNAs involved in fiber development in cotton (Gossypium arboreum). Science China Life Sciences. 59(2). 164–171. 62 indexed citations

4.

Lu, Cairui, Changsong Zou, Youping Zhang, et al.. (2015). Development of chromosome-specific markers with high polymorphism for allotetraploid cotton based on genome-wide characterization of simple sequence repeats in diploid cottons (Gossypium arboreum L. and Gossypium raimondii Ulbrich). BMC Genomics. 16(1). 55–55. 21 indexed citations

5.

Lu, Cairui, Changsong Zou, & Guo-Li Song. (2015). [Recent progress in gene mapping through high-throughput sequencing technology and forward genetic approaches].. PubMed. 37(8). 765–76. 3 indexed citations

6.

Zou, Changsong, Cairui Lu, Hǎihóng Shāng, et al.. (2013). Genome‐Wide Analysis of the Sus Gene Family in Cotton. Journal of Integrative Plant Biology. 55(7). 643–653. 40 indexed citations

7.

Zou, Changsong, Cairui Lu, Youping Zhang, & Guoli Song. (2012). Distribution and characterization of simple sequence repeats in Gossypium raimondii genome. Bioinformation. 8(17). 801–806. 17 indexed citations

8.

Lu, Cairui. (2009). Development and appraisement of functional molecular marker: intron sequence amplified polymorphism (ISAP). Hereditas (Beijing). 30(9). 1207–1216. 5 indexed citations

9.

Yu, Jiwen, Shuxun Yu, Cairui Lu, et al.. (2007). High‐density Linkage Map of Cultivated Allotetraploid Cotton Based on SSR, TRAP, SRAP and AFLP Markers. Journal of Integrative Plant Biology. 49(5). 716–724. 61 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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