Tingxiang Qi

914 total citations
36 papers, 465 citations indexed

About

Tingxiang Qi is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Tingxiang Qi has authored 36 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Plant Science, 20 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Tingxiang Qi's work include Research in Cotton Cultivation (29 papers), Plant Reproductive Biology (18 papers) and Plant Virus Research Studies (9 papers). Tingxiang Qi is often cited by papers focused on Research in Cotton Cultivation (29 papers), Plant Reproductive Biology (18 papers) and Plant Virus Research Studies (9 papers). Tingxiang Qi collaborates with scholars based in China, United States and Canada. Tingxiang Qi's co-authors include Chaozhu Xing, Jianyong Wu, Xuexian Zhang, Huini Tang, Liping Guo, Hailin Wang, Meng Zhang, Xiuqin Qiao, Kashif Shahzad and Jinfa Zhang and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Journal of Experimental Botany.

In The Last Decade

Tingxiang Qi

32 papers receiving 456 citations

Peers

Tingxiang Qi

GENET

ENDOC

ACS

Huini Tang China

Xiuqin Qiao China

Christina Rønn Ingvardsen Denmark

Defang Gan China

Fuguang Li China

Yunlei Zhao China

Zhenyuan Pan China

Jocelyne Lemoine France

Shweta Shweta India

Huini Tang China

Tingxiang Qi

359 ×0.8

199 ×0.8

42 ×1.0

GENET

29 ×0.7

ENDOC

18 ×1.0

ACS

Citations per year, relative to Tingxiang Qi Tingxiang Qi (= 1×) peers Huini Tang

Countries citing papers authored by Tingxiang Qi

Since Specialization

Citations

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

Fields of papers citing papers by Tingxiang Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingxiang Qi

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

All Works

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20 of 20 papers shown

Zhang, Meng, Kashif Shahzad, Xuexian Zhang, et al.. (2024). Integrated multiple environmental tests and QTL mapping uncover novel candidate genes for seed oil content in upland cotton. Industrial Crops and Products. 220. 119193–119193. 1 indexed citations

Shahzad, Kashif, Meng Zhang, Iqra Mubeen, et al.. (2024). Integrative analyses of long and short-read RNA sequencing reveal the spliced isoform regulatory network of seedling growth dynamics in upland cotton. Functional & Integrative Genomics. 24(5). 156–156.

Wang, Ruijie, Meng Zhang, Hui Wang, et al.. (2024). Identification and characterization of circular RNAs involved in the fertility stability of cotton CMS-D2 restorer line under heat stress. BMC Plant Biology. 24(1). 32–32. 6 indexed citations

Qi, Tingxiang, et al.. (2024). A High-Speed Confocal Laser Endomicroscope Using an Electrothermal Mems Mirror Actuated in Linear-Near Resonant Raster Scan. 425–428.

Zhang, Meng, Xuexian Zhang, Liping Guo, et al.. (2023). Heat-responsive microRNAs participate in regulating the pollen fertility stability of CMS-D2 restorer line under high-temperature stress. Biological Research. 56(1). 58–58. 7 indexed citations

Zhou, Liang, et al.. (2023). MEMS Enabled Miniature Two-Photon Microscopy for Biomedical Imaging. Micromachines. 14(2). 470–470. 7 indexed citations

Zhang, Meng, Kashif Shahzad, Xuexian Zhang, et al.. (2023). Comparative Transcriptome Profiling of CMS-D2 and CMS-D8 Systems Characterizes Fertility Restoration Genes Network in Upland Cotton. International Journal of Molecular Sciences. 24(13). 10759–10759.

Shahzad, Kashif, Xuexian Zhang, Liping Guo, et al.. (2023). Dose effects of restorer gene modulate pollen fertility in cotton CMS-D2 restorer lines via auxin signaling and flavonoid biosynthesis. Plant Cell Reports. 42(11). 1705–1719. 2 indexed citations

Chen, Qian, et al.. (2023). A Miniaturized Electrothermal-MEMS-Based Optical Coherence Tomography (OCT) Handheld Microscope. Photonics. 11(1). 17–17. 2 indexed citations

10.

Zhang, Xuexian, Meng Zhang, Liping Guo, et al.. (2022). Integrated analysis of metabolome and transcriptome reveals the cytoplasmic effects of CMS-D2 on pollen fertility resulting from disrupted lipid metabolism. Frontiers in Plant Science. 13. 998203–998203. 6 indexed citations

11.

Feng, Juanjuan, Yongqi Li, Jinfa Zhang, et al.. (2022). Transcript Complexity and New Insights of Restorer Line in CMS-D8 Cotton Through Full-Length Transcriptomic Analysis. Frontiers in Plant Science. 13. 930131–930131. 2 indexed citations

12.

Li, Yongqi, Meng Zhang, Kashif Shahzad, et al.. (2022). Development of mitochondrial simple sequence repeat markers to simultaneously distinguish cytoplasmic male sterile sources in cotton. Functional & Integrative Genomics. 23(1). 25–25. 3 indexed citations

13.

Tang, Huini, Xuexian Zhang, Tingxiang Qi, et al.. (2022). Comparative performance of hybrid generations reveals the potential application of F2 hybrids in upland cotton. Journal of Cotton Research. 5(1). 10 indexed citations

14.

Shahzad, Kashif, Xuexian Zhang, Meng Zhang, et al.. (2022). Homoeolog gene expression analysis reveals novel expression biases in upland hybrid cotton under intraspecific hybridization. Functional & Integrative Genomics. 22(5). 757–768. 1 indexed citations

15.

Feng, Juanjuan, Xuexian Zhang, Meng Zhang, et al.. (2021). Physical mapping and InDel marker development for the restorer gene Rf2 in cytoplasmic male sterile CMS-D8 cotton. BMC Genomics. 22(1). 15 indexed citations

16.

Shahzad, Kashif, Xuexian Zhang, Liping Guo, et al.. (2020). Comparative transcriptome analysis between inbred and hybrids reveals molecular insights into yield heterosis of upland cotton. BMC Plant Biology. 20(1). 239–239. 32 indexed citations

17.

Shahzad, Kashif, Xuexian Zhang, Liping Guo, et al.. (2020). Comparative transcriptome analysis of inbred lines and contrasting hybrids reveals overdominance mediate early biomass vigor in hybrid cotton. BMC Genomics. 21(1). 140–140. 24 indexed citations

18.

Feng, Juanjuan, Haiyong Zhu, Meng Zhang, et al.. (2020). Development and utilization of an InDel marker linked to the fertility restorer genes of CMS-D8 and CMS-D2 in cotton. Molecular Biology Reports. 47(2). 1275–1282. 11 indexed citations

19.

Zhang, Bingbing, Xuexian Zhang, Meng Zhang, et al.. (2019). Transcriptome Analysis Implicates Involvement of Long Noncoding RNAs in Cytoplasmic Male Sterility and Fertility Restoration in Cotton. International Journal of Molecular Sciences. 20(22). 5530–5530. 9 indexed citations

20.

Wu, Jianyong, Meng Zhang, Bingbing Zhang, et al.. (2017). Genome-wide comparative transcriptome analysis of CMS-D2 and its maintainer and restorer lines in upland cotton. BMC Genomics. 18(1). 454–454. 37 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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