Xinlian Shen

1.4k total citations
41 papers, 987 citations indexed

About

Xinlian Shen is a scholar working on Plant Science, Endocrinology and Molecular Biology. According to data from OpenAlex, Xinlian Shen has authored 41 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Plant Science, 6 papers in Endocrinology and 5 papers in Molecular Biology. Recurrent topics in Xinlian Shen's work include Research in Cotton Cultivation (33 papers), Plant Virus Research Studies (18 papers) and Plant Stress Responses and Tolerance (7 papers). Xinlian Shen is often cited by papers focused on Research in Cotton Cultivation (33 papers), Plant Virus Research Studies (18 papers) and Plant Stress Responses and Tolerance (7 papers). Xinlian Shen collaborates with scholars based in China, United States and Pakistan. Xinlian Shen's co-authors include Wangzhen Guo, Xiefei Zhu, Tianzhen Zhang, Yǒulù Yuán, Peng Xu, Xianggui Zhang, R. J. Kohel, John Z. Yu, Peng W. Chee and Tianzhen Zhang and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Gene.

In The Last Decade

Xinlian Shen

40 papers receiving 956 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinlian Shen China 16 941 234 177 69 60 41 987
Junji Su China 17 791 0.8× 128 0.5× 233 1.3× 105 1.5× 46 0.8× 43 882
Zabardast T. Buriev Uzbekistan 12 533 0.6× 152 0.6× 138 0.8× 56 0.8× 19 0.3× 32 577
Yǒulù Yuán China 11 593 0.6× 162 0.7× 122 0.7× 28 0.4× 20 0.3× 19 635
Tom Wedegaertner United States 16 576 0.6× 272 1.2× 71 0.4× 15 0.2× 11 0.2× 43 631
Yinhua Jia China 17 575 0.6× 88 0.4× 185 1.0× 69 1.0× 18 0.3× 54 653
Lijiao Gu China 18 618 0.7× 77 0.3× 314 1.8× 38 0.6× 16 0.3× 26 681
Yüksel Bölek Türkiye 12 441 0.5× 111 0.5× 86 0.5× 26 0.4× 31 0.5× 27 479
Abdusattor Abdukarimov Uzbekistan 9 391 0.4× 63 0.3× 129 0.7× 117 1.7× 22 0.4× 22 480
Margaret L. Ellis United States 13 537 0.6× 80 0.3× 148 0.8× 20 0.3× 27 0.5× 31 638
Tsuyoshi Inukai Japan 16 672 0.7× 42 0.2× 179 1.0× 184 2.7× 10 0.2× 33 725

Countries citing papers authored by Xinlian Shen

Since Specialization
Citations

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

Fields of papers citing papers by Xinlian Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinlian Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Xinlian Shen. A scholar is included among the top collaborators of Xinlian Shen 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 Xinlian Shen. Xinlian Shen 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
2.
Xu, Zhenzhen, Wenjie Ding, Shan Meng, et al.. (2025). Development of a set of monosomic alien addition lines from Gossypium raimondii in Gossypium hirsutum toward breeding applications in cotton. BMC Plant Biology. 25(1). 150–150. 1 indexed citations
3.
Fang, Hui, Teame Gereziher Mehari, Ying Wu, et al.. (2024). Transcriptomic profiling reveals salt-responsive long non-coding RNAs and their putative target genes for improving salt tolerance in upland cotton (Gossypium hirsutum). Industrial Crops and Products. 216. 118744–118744. 4 indexed citations
4.
Yu, Huan, Qi Guo, Wei Ji, et al.. (2024). Transcriptome Expression Profiling Reveals the Molecular Response to Salt Stress in Gossypium anomalum Seedlings. Plants. 13(2). 312–312. 6 indexed citations
5.
Ding, Wenjie, Jinlei Han, Hui Zhang, et al.. (2023). Characterization of centromeric DNA of Gossypium anomalum reveals sequence-independent enrichment dynamics of centromeric repeats. Chromosome Research. 31(2). 12–12. 2 indexed citations
6.
Xu, Peng, Qi Guo, Zhenzhen Xu, et al.. (2023). A recessive LRR-RLK gene causes hybrid breakdown in cotton. Theoretical and Applied Genetics. 136(9). 189–189. 2 indexed citations
7.
Xu, Peng, Qi Guo, Shan Meng, et al.. (2021). Genome-wide association analysis reveals genetic variations and candidate genes associated with salt tolerance related traits in Gossypium hirsutum. BMC Genomics. 22(1). 26–26. 38 indexed citations
8.
Xu, Zhenzhen, Jing Liu, Zhen Peng, et al.. (2017). GrTEdb: the first web-based database of transposable elements in cotton (Gossypium raimondii). Database. 2017(1). 8 indexed citations
9.
Kumar, Pawan, Yajun He, Richard F. Davis, et al.. (2016). Fine mapping and identification of candidate genes for a QTL affecting Meloidogyne incognita reproduction in Upland cotton. BMC Genomics. 17(1). 567–567. 24 indexed citations
10.
Xu, Zhenzhen, et al.. (2016). Genome-Wide Analysis of the GhZHD Protein Family in Upland Cotton. Mianhua xuebao. 28(6). 519–526. 1 indexed citations
11.
Fan, Xinqi, et al.. (2015). Transcriptome-Wide Identification of Salt-Responsive Members of the WRKY Gene Family in Gossypium aridum. PLoS ONE. 10(5). e0126148–e0126148. 61 indexed citations
12.
Shu, Hongmei, et al.. (2015). Analysis of Molecular Evolution and Gene Structure of EPSPS Protein in Plant Shikimate Pathway. CHINESE BULLETIN OF BOTANY. 50(3). 295–295. 1 indexed citations
13.
Xu, Peng, Xia Zhang, Qi Guo, et al.. (2015). Development of Gossypium anomalum-derived microsatellite markers and their use for genome-wide identification of recombination between the G. anomalum and G. hirsutum genomes. Theoretical and Applied Genetics. 128(8). 1531–1540. 15 indexed citations
14.
Xu, Peng, Zhang‐Wei Liu, Xinqi Fan, et al.. (2013). De novo transcriptome sequencing and comparative analysis of differentially expressed genes in Gossypium aridum under salt stress. Gene. 525(1). 26–34. 58 indexed citations
15.
Xu, Peng, et al.. (2012). Molecular Mapping and Identification of QTLs for Fiber Micronaire on Chromosome 7 from Gossypium klotzschianum. ACTA AGRONOMICA SINICA. 38(3). 447–453. 6 indexed citations
16.
Kumar, Pawan, Edward L. Lubbers, Xinlian Shen, et al.. (2012). Mapping and Validation of Fiber Strength Quantitative Trait Loci on Chromosome 24 in Upland Cotton. Crop Science. 52(3). 1115–1122. 21 indexed citations
17.
Shen, Xinlian, Zhibin Cao, Edward L. Lubbers, et al.. (2011). Efficacy of qFL‐chr1, a Quantitative Trait Locus for Fiber Length in Cotton (Gossypium spp.). Crop Science. 51(5). 2005–2010. 15 indexed citations
18.
Shen, Xinlian, et al.. (2008). Introgression of Gossypium klotzschianum Genome into Cultivated Cotton,G.hirsutum. Mianhua xuebao. 20. 31–31. 2 indexed citations
19.
20.
Shen, Xinlian, et al.. (2001). Genetic stability of a major QTL for fiber strength and its marker-assisted selection in upland cotton. 11(10). 13–16. 7 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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