Qing Tang

1.4k total citations
59 papers, 806 citations indexed

About

Qing Tang is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Qing Tang has authored 59 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 15 papers in Molecular Biology and 12 papers in Genetics. Recurrent topics in Qing Tang's work include Seed and Plant Biochemistry (10 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Plant Taxonomy and Phylogenetics (7 papers). Qing Tang is often cited by papers focused on Seed and Plant Biochemistry (10 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Plant Taxonomy and Phylogenetics (7 papers). Qing Tang collaborates with scholars based in China, United States and Singapore. Qing Tang's co-authors include Zemao Yang, Chaohua Cheng, Zhigang Dai, Ying Xu, Jianguang Su, Canhui Deng, Dongwei Xie, Lining Zhao, Chunsheng Gao and Guodong Liang and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Qing Tang

56 papers receiving 791 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qing Tang China	15	402	293	111	103	99	59	806
Muhammad Sarwar Khan Pakistan	19	718 1.8×	934 3.2×	114 1.0×	45 0.4×	75 0.8×	123	1.6k
Marcus Vinícius de Aragão Batista Brazil	15	181 0.5×	230 0.8×	35 0.3×	47 0.5×	32 0.3×	62	658
Bin Tian China	16	701 1.7×	306 1.0×	144 1.3×	22 0.2×	89 0.9×	58	1.1k
Alberto Barbabosa‐Pliego Mexico	15	104 0.3×	126 0.4×	45 0.4×	143 1.4×	35 0.4×	41	613
Lei Pan China	17	467 1.2×	452 1.5×	70 0.6×	54 0.5×	67 0.7×	45	902
Xinheng Zhang China	16	76 0.2×	303 1.0×	108 1.0×	34 0.3×	166 1.7×	66	866
Su Li China	17	288 0.7×	233 0.8×	48 0.4×	24 0.2×	142 1.4×	49	899
Slavica Matić Italy	20	1.4k 3.5×	409 1.4×	49 0.4×	19 0.2×	80 0.8×	143	1.7k
İkbal Agah İnce Türkiye	17	284 0.7×	347 1.2×	82 0.7×	105 1.0×	70 0.7×	35	851

Countries citing papers authored by Qing Tang

Since Specialization

Citations

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

Fields of papers citing papers by Qing Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Tang. A scholar is included among the top collaborators of Qing 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 Qing Tang. Qing Tang 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

Huang, Dan, et al.. (2025). Evaluating and Optimizing Conventional Training Circuits for Analog Fault Diagnosis via Transfer Learning. IEEE Transactions on Instrumentation and Measurement. 74. 1–15.

Yang, Zemao, Jiquan Chen, Zhigang Dai, et al.. (2024). Machine learning phenotyping and GWAS reveal genetic basis of Cd tolerance and absorption in jute. Environmental Pollution. 362. 124918–124918. 2 indexed citations

Tang, Qing, et al.. (2024). Transcriptome Remodeling in Arabidopsis: A Response to Heterologous Poplar MSL-lncRNAs Overexpression. Plants. 13(20). 2906–2906. 1 indexed citations

Liu, Yongbei, Dejing Kong, Kailei Tang, et al.. (2024). CsMIKC1 regulates inflorescence development and grain production in Cannabis sativa plants. Horticulture Research. 11(8). uhae161–uhae161.

Jin, Mingjie, Jianhua Zu, Gang Han, et al.. (2024). A guanidinium-based ionic COF for selective and efficient capture of 99TcO4−: A synergistic effect of ion exchange and hydrogen bond. Separation and Purification Technology. 359. 130841–130841. 3 indexed citations

Xu, Ying, Jing Zhang, Qing Tang, et al.. (2024). Integrated metabolomic and transcriptomic analysis revealed the regulation of yields, cannabinoid, and terpene biosynthesis in Cannabis sativa L. under different photoperiods. South African Journal of Botany. 174. 735–746. 4 indexed citations

Xu, Jun, et al.. (2023). High-performance cation electrokinetic concentrator based on a γ-CD/QCS/PVA composite and microchip for evaluating the activity of P-glycoprotein without any interference from serum albumin. Lab on a Chip. 24(1). 127–136. 1 indexed citations

Deng, Canhui, Zemao Yang, Chaohua Cheng, et al.. (2021). Regulating the Cd Tolerance of Jute ( Corchorus olitorius L.) with Graphene Oxide Nanosheets and the Toxicity Responses. Environmental Engineering Science. 38(12). 1158–1167. 4 indexed citations

Tang, Qing, Ying Xu, Canhui Deng, et al.. (2020). Differential Proteomic Analysis to Identify Proteins Associated with Apomeiosis in Boehmeria tricuspis (Hance) Makino Using an iTRAQ-Based Strategy. Journal of Proteome Research. 20(1). 661–669. 3 indexed citations

10.

Martínez‐García, Esteban, Shuo Huang, Katherine A. Kelly, et al.. (2020). Targeted Depletion of Bacteria from Mixed Populations by Programmable Adhesion with Antagonistic Competitor Cells. Cell Host & Microbe. 28(2). 313–321.e6. 52 indexed citations

11.

Yang, Zemao, Youxin Yang, Zhigang Dai, et al.. (2019). Construction of a high-resolution genetic map and identification of quantitative trait loci for salt tolerance in jute (Corchous spp.). BMC Plant Biology. 19(1). 391–391. 8 indexed citations

12.

Xie, Dongwei, Zhigang Dai, Zemao Yang, et al.. (2019). Combined genome-wide association analysis and transcriptome sequencing to identify candidate genes for flax seed fatty acid metabolism. Plant Science. 286. 98–107. 34 indexed citations

13.

Xie, Dongwei, Zhigang Dai, Zemao Yang, et al.. (2018). Genomic variations and association study of agronomic traits in flax. BMC Genomics. 19(1). 512–512. 43 indexed citations

14.

Tang, Qing, et al.. (2016). Embryological and genetic evidence of amphimixis and apomixis in Boehmeria tricuspis. Journal of Plant Biology. 59(2). 114–120. 4 indexed citations

15.

Zhu, Shusheng, et al.. (2014). Evaluation of Bamboo Genetic Diversity Using Morphological and SRAP Analyses. Генетика. 50(3). 306–313. 3 indexed citations

16.

Gao, Lidong, Fuqiang Liu, Hong Zhang, et al.. (2011). [Surveillance on the etiology and genetic characteristics of rabies in Hunan province, from 2008 to 2009].. PubMed. 32(10). 1001–4. 1 indexed citations

17.

Du, Jialiang, et al.. (2011). Development of recombinant rabies viruses vectors with Gaussia luciferase reporter based on Chinese vaccine strain CTN181. Virus Research. 160(1-2). 82–88. 5 indexed citations

18.

Lv, Xinjun, et al.. (2010). [The establishment of a rapid fluorescent focus inhibition test for testing rabies virus neutralizing antibody].. PubMed. 31(4). 438–41. 4 indexed citations

19.

Chu, Mingxing, Jianping Yang, Tao Feng, et al.. (2010). GDF9 as a candidate gene for prolificacy of Small Tail Han sheep. Molecular Biology Reports. 38(8). 5199–5204. 38 indexed citations

20.

Noorbakhsh, Farshid, Qing Tang, Shuhong Liu, et al.. (2006). Lentivirus envelope protein exerts differential neuropathogenic effects depending on the site of expression and target cell. Virology. 348(2). 260–276. 11 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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