Huini Tang

755 total citations
31 papers, 385 citations indexed

About

Huini Tang is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Huini Tang has authored 31 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 19 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Huini Tang's work include Research in Cotton Cultivation (28 papers), Plant Reproductive Biology (17 papers) and Plant Molecular Biology Research (9 papers). Huini Tang is often cited by papers focused on Research in Cotton Cultivation (28 papers), Plant Reproductive Biology (17 papers) and Plant Molecular Biology Research (9 papers). Huini Tang collaborates with scholars based in China, United States and Canada. Huini Tang's co-authors include Chaozhu Xing, Tingxiang Qi, Jianyong Wu, Xuexian Zhang, Liping Guo, Hailin Wang, Xiuqin Qiao, Meng Zhang, Kashif Shahzad and Juanjuan Feng and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Journal of Experimental Botany.

In The Last Decade

Huini Tang

29 papers receiving 379 citations

Peers

Huini Tang
Xiuqin Qiao China
Tingxiang Qi China
Zhenyuan Pan China
Sung‐Hwan Jo South Korea
Shweta Shweta India
Fuguang Li China
Guangzhi Mao China
Yunzhi Lin China
Mélanie Jubault France
Faqiang Wu United States
Xiuqin Qiao China
Huini Tang
Citations per year, relative to Huini Tang Huini Tang (= 1×) peers Xiuqin Qiao

Countries citing papers authored by Huini Tang

Since Specialization
Citations

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

Fields of papers citing papers by Huini Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huini Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Huini Tang. A scholar is included among the top collaborators of Huini Tang 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 Huini Tang. Huini Tang 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.
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
2.
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.
3.
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
4.
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
5.
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.
6.
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
7.
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
8.
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
9.
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
10.
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
11.
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
12.
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
13.
Li, Ting, Xuexian Zhang, Liping Guo, et al.. (2021). Single-molecule real-time transcript sequencing of developing cotton anthers facilitates genome annotation and fertility restoration candidate gene discovery. Genomics. 113(6). 4245–4253. 7 indexed citations
14.
Zhang, Xuexian, Tingxiang Qi, Huini Tang, et al.. (2021). Cytoplasmic effects of CMS-D2 in upland cotton. Scientia Sinica Vitae. 52(4). 499–509. 3 indexed citations
15.
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
16.
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
17.
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
18.
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
19.
20.
Zhang, Bingbing, Guoyuan Liu, Xue Li, et al.. (2017). A genome-wide identification and analysis of the DYW-deaminase genes in the pentatricopeptide repeat gene family in cotton (Gossypium spp.). PLoS ONE. 12(3). e0174201–e0174201. 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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