Zhonghua Teng

875 total citations
31 papers, 599 citations indexed

About

Zhonghua Teng is a scholar working on Plant Science, Endocrinology and Molecular Biology. According to data from OpenAlex, Zhonghua Teng has authored 31 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 10 papers in Endocrinology and 3 papers in Molecular Biology. Recurrent topics in Zhonghua Teng's work include Research in Cotton Cultivation (28 papers), Plant and Fungal Interactions Research (10 papers) and Plant Virus Research Studies (9 papers). Zhonghua Teng is often cited by papers focused on Research in Cotton Cultivation (28 papers), Plant and Fungal Interactions Research (10 papers) and Plant Virus Research Studies (9 papers). Zhonghua Teng collaborates with scholars based in China and United States. Zhonghua Teng's co-authors include Zhengsheng Zhang, Dajun Liu, Dexin Liu, Shiyi Tang, Zhaoyun Tan, Xiaomei Fang, Jian Zhang, Xueying Liu, Wenwen Wang and Andrew H. Paterson and has published in prestigious journals such as Scientific Reports, New Phytologist and Frontiers in Plant Science.

In The Last Decade

Zhonghua Teng

27 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhonghua Teng China 13 579 152 54 47 25 31 599
Chunyuan You China 10 506 0.9× 107 0.7× 97 1.8× 65 1.4× 15 0.6× 24 529
Honghong Zhai China 8 388 0.7× 68 0.4× 83 1.5× 21 0.4× 15 0.6× 10 405
Zhaoyun Tan China 10 355 0.6× 92 0.6× 47 0.9× 34 0.7× 8 0.3× 12 387
Vijay N. Waghmare India 8 437 0.8× 109 0.7× 72 1.3× 57 1.2× 13 0.5× 14 458
Huifeng Ke China 13 501 0.9× 68 0.4× 146 2.7× 37 0.8× 19 0.8× 30 547
Tianzhen Zhang China 12 666 1.2× 232 1.5× 44 0.8× 45 1.0× 23 0.9× 17 677
Joseph Said United States 6 500 0.9× 127 0.8× 54 1.0× 41 0.9× 25 1.0× 7 526
Shukhrat E. Shermatov Uzbekistan 8 277 0.5× 73 0.5× 78 1.4× 32 0.7× 13 0.5× 14 302
Yunlei Zhao China 11 339 0.6× 79 0.5× 101 1.9× 30 0.6× 9 0.4× 25 371
Yves Al-Ghazi France 7 467 0.8× 47 0.3× 107 2.0× 9 0.2× 14 0.6× 8 486

Countries citing papers authored by Zhonghua Teng

Since Specialization
Citations

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

Fields of papers citing papers by Zhonghua Teng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhonghua Teng

This figure shows the co-authorship network connecting the top 25 collaborators of Zhonghua Teng. A scholar is included among the top collaborators of Zhonghua Teng 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 Zhonghua Teng. Zhonghua Teng 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.
Guo, Kai, T. Bu, Shue‐Fen Luo, et al.. (2025). GhIAA14-GhARF7 module coordinates auxin-mediated cellulose biosynthesis during secondary cell wall thickening in cotton fibers. International Journal of Biological Macromolecules. 311(Pt 2). 143662–143662.
2.
Yang, Xu-Zhao, Yi Yu, Wenhui Song, et al.. (2025). Genome-wide QTL mapping and candidate gene analysis reveal elite yield-, fiber- and seed-associated alleles in Gossypium hirsutum race purpurascens. Industrial Crops and Products. 230. 121067–121067.
3.
Chen, Jun, Zhen Zhang, Zhonghua Teng, & Qingchun Zeng. (2025). Association of neutrophil-percentage-to-albumin ratio with all-cause and cardiovascular mortality in patients with diabetes and prediabetes from the NHANES 1999–2018. Scientific Reports. 15(1). 15630–15630. 1 indexed citations
4.
Liu, Xueying, Qianqian Wang, Shuxin Wang, et al.. (2024). Mapping QTL for fiber- and seed-related traits in Gossypium tomentosum CSSLs with G. hirsutum background. Journal of Integrative Agriculture. 2 indexed citations
5.
Wang, Wenwen, Lei Chen, Yan Wu, et al.. (2024). Map-based cloning of qLP. , a favorable allele from the Gossypium tomentosum chromosome segment line. Journal of Integrative Agriculture. 23(10). 3283–3293.
6.
Liu, Dexin, Xueying Liu, Dajun Liu, et al.. (2024). Natural variation in GhROPGEF5 contributes to longer and stronger cotton fibers. New Phytologist. 245(3). 1090–1105. 3 indexed citations
7.
Guo, Kai, Wei Gao, Peng Yang, et al.. (2023). Comparative transcriptome and lipidome reveal that a low K+ signal effectively alleviates the effect induced by Ca2+ deficiency in cotton fibers. Journal of Integrative Agriculture. 22(8). 2306–2322. 1 indexed citations
8.
Chen, Zhong, Yaohua Li, Zhonghua Teng, et al.. (2023). Cotton green fiber promotes suberin synthesis interfering cellulose deposition in the secondary cell wall. Industrial Crops and Products. 194. 116346–116346. 8 indexed citations
9.
Yang, Peng, Xiaoting Sun, Xueying Liu, et al.. (2022). Identification of Candidate Genes for Lint Percentage and Fiber Quality Through QTL Mapping and Transcriptome Analysis in an Allotetraploid Interspecific Cotton CSSLs Population. Frontiers in Plant Science. 13. 882051–882051. 12 indexed citations
10.
Liu, Xueying, Jinxia Wang, Qingqing Li, et al.. (2022). Analyzing Quantitative Trait Loci for Fiber Quality and Yield-Related Traits From a Recombinant Inbred Line Population With Gossypium hirsutum Race palmeri as One Parent. Frontiers in Plant Science. 12. 817748–817748. 12 indexed citations
11.
Wang, Wenwen, Ying Sun, Peng Yang, et al.. (2019). A high density SLAF-seq SNP genetic map and QTL for seed size, oil and protein content in upland cotton. BMC Genomics. 20(1). 599–599. 21 indexed citations
12.
Tan, Zhaoyun, Zhiqin Zhang, Zhiqin Zhang, et al.. (2018). Genetic Map Construction and Fiber Quality QTL Mapping Using the CottonSNP80K Array in Upland Cotton. Frontiers in Plant Science. 9. 225–225. 45 indexed citations
13.
Liu, Dexin, Zhonghua Teng, Jie Kong, et al.. (2018). Natural variation in a CENTRORADIALIS homolog contributed to cluster fruiting and early maturity in cotton. BMC Plant Biology. 18(1). 286–286. 20 indexed citations
14.
Teng, Zhonghua, Y. Bai, Qing Yang, et al.. (2018). A high density SLAF-SNP genetic map and QTL detection for fibre quality traits in Gossypium hirsutum. BMC Genomics. 19(1). 879–879. 27 indexed citations
15.
Fang, Xiaomei, Xueying Liu, Xiaoqin Wang, et al.. (2017). Fine-mapping qFS07.1 controlling fiber strength in upland cotton (Gossypium hirsutum L.). Theoretical and Applied Genetics. 130(4). 795–806. 39 indexed citations
16.
Tan, Zhaoyun, Ya‐Qiong Xu, Yao Jiang, et al.. (2017). Chromosome structural variation of two cultivated tetraploid cottons and their ancestral diploid species based on a new high-density genetic map. Scientific Reports. 7(1). 7640–7640. 9 indexed citations
17.
Liu, Dexin, Fang Liu, Shiyi Tang, et al.. (2015). Construction of a high-density genetic map and lint percentage and cottonseed nutrient trait QTL identification in upland cotton (Gossypium hirsutum L.). Molecular Genetics and Genomics. 290(5). 1683–1700. 45 indexed citations
18.
Li, Li, Fang Liu, Shiyi Tang, et al.. (2012). Chromosomal Localization of Transcription Factors in Gossypium hirsutum. ACTA AGRONOMICA SINICA. 38(8). 1361–1368. 3 indexed citations
19.
Wang, Sangen, et al.. (2012). Effects of combined high temperature and drought stress on amylose and protein contents at rice grain-filling stage. CHINESE JOURNAL OF ECO-AGRICULTURE. 20(1). 40–47. 8 indexed citations
20.

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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