Huaping Tang

1.3k total citations
55 papers, 586 citations indexed

About

Huaping Tang is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Huaping Tang has authored 55 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Plant Science, 21 papers in Genetics and 11 papers in Agronomy and Crop Science. Recurrent topics in Huaping Tang's work include Wheat and Barley Genetics and Pathology (33 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers) and Genetics and Plant Breeding (13 papers). Huaping Tang is often cited by papers focused on Wheat and Barley Genetics and Pathology (33 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers) and Genetics and Plant Breeding (13 papers). Huaping Tang collaborates with scholars based in China, Australia and United Kingdom. Huaping Tang's co-authors include Yuming Wei, Xiujin Lan, Jian Ma, Guoyue Chen, Qiantao Jiang, Youliang Zheng, Mu Yang, Yaxi Liu, Pengfei Qi and Mei Deng and has published in prestigious journals such as Food Chemistry, International Journal of Molecular Sciences and Gene.

In The Last Decade

Huaping Tang

50 papers receiving 580 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huaping Tang China 13 553 274 149 84 36 55 586
Paola Mantovani Italy 12 492 0.9× 207 0.8× 33 0.2× 99 1.2× 58 1.6× 13 521
Jemima Brinton United Kingdom 9 685 1.2× 361 1.3× 174 1.2× 101 1.2× 25 0.7× 10 711
Pengtao Ma China 20 1.1k 1.9× 130 0.5× 67 0.4× 74 0.9× 10 0.3× 61 1.1k
Daryl L. Klindworth United States 20 937 1.7× 237 0.9× 190 1.3× 185 2.2× 27 0.8× 45 958
Paulo Rapazote-Flores United Kingdom 4 303 0.5× 123 0.4× 41 0.3× 81 1.0× 11 0.3× 5 335
Guowei Zhai China 8 288 0.5× 193 0.7× 81 0.5× 102 1.2× 11 0.3× 16 364
Jian Hou China 13 516 0.9× 177 0.6× 95 0.6× 131 1.6× 41 1.1× 23 566
Francine Paraiso United States 3 578 1.0× 115 0.4× 69 0.5× 234 2.8× 26 0.7× 5 602
Huijie Zhai China 10 475 0.9× 290 1.1× 107 0.7× 32 0.4× 16 0.4× 15 488
Lia Shooshtari Iran 9 243 0.4× 108 0.4× 46 0.3× 91 1.1× 13 0.4× 26 327

Countries citing papers authored by Huaping Tang

Since Specialization
Citations

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

Fields of papers citing papers by Huaping Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huaping Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Huaping Tang. A scholar is included among the top collaborators of Huaping 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 Huaping Tang. Huaping 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.
Liu, Jiajun, Jianing You, Xinrong Hu, et al.. (2025). Fine-mapping and candidate gene identification for QPtn.sau-4B showing potential in increasing productive tiller number and yield in wheat. The Crop Journal. 13(2). 480–489. 1 indexed citations
2.
Liu, Jing, Qiang Xu, Yazhou Zhang, et al.. (2025). The impact of GBSSI inactivation on starch structure and functionality in EMS-induced mutant lines of wheat. BMC Genomics. 26(1). 501–501. 3 indexed citations
3.
Qiao, Han, Feng Yan, Xiaolei Han, & Huaping Tang. (2024). Values of a novel comprehensive prognostic nutritional index (FIDA) in the prognosis of non-small cell lung cancer. Frontiers in Oncology. 14. 1393684–1393684.
4.
Chen, Xiaolei, Yi Jiang, David Seung, et al.. (2024). Reducing amylose content in wheat (Triticum aestivum L.) using a novel WxD1 null allele generated by chemical mutagenesis. Journal of the Science of Food and Agriculture. 105(4). 2332–2341. 3 indexed citations
7.
Chen, Xiaolei, Carlos Guzmán, Wendy Harwood, et al.. (2024). Genome-wide identification of the basic leucine zipper transcription factor genes related to starch synthesis in wheat (Triticum aestivum L.). Plant Growth Regulation. 103(2). 409–423. 1 indexed citations
8.
Yan, Feng, Han Qiao, Xiaolei Han, & Huaping Tang. (2024). A prognostic nomogram of non-small cell lung cancer based on tumor marker inflammatory nutrition score. Translational Lung Cancer Research. 13(12). 3392–3406.
9.
Yang, Qiang, et al.. (2023). A CRISPR/Cas9 Protocol for Target Gene Editing in Barley. Methods in molecular biology. 2653. 287–296. 1 indexed citations
10.
Li, Cong, Hang Liu, Jiajun Liu, et al.. (2022). Quick mapping and characterization of a co-located kernel length and thousand-kernel weight-related QTL in wheat. Theoretical and Applied Genetics. 135(8). 2849–2860. 19 indexed citations
11.
Tian, Rong, Huaping Tang, Yi Liu, et al.. (2022). A major quantitative trait locus for wheat total root length associated with precipitation distribution. Frontiers in Plant Science. 13. 995183–995183. 7 indexed citations
12.
You, Jianing, Hang Liu, Surong Wang, et al.. (2021). Spike Density Quantitative Trait Loci Detection and Analysis in Tetraploid and Hexaploid Wheat Recombinant Inbred Line Populations. Frontiers in Plant Science. 12. 796397–796397. 12 indexed citations
13.
Zhu, Jing, Qiang Xu, Huaping Tang, et al.. (2021). The 55K SNP-Based Exploration of QTLs for Spikelet Number Per Spike in a Tetraploid Wheat (Triticum turgidum L.) Population: Chinese Landrace “Ailanmai” × Wild Emmer. Frontiers in Plant Science. 12. 732837–732837. 7 indexed citations
14.
Li, Cong, Jianing You, Huaping Tang, et al.. (2021). Genetic identification and characterization of chromosomal regions for kernel length and width increase from tetraploid wheat. BMC Genomics. 22(1). 706–706. 9 indexed citations
15.
Li, Cong, Huaping Tang, Wei Luo, et al.. (2020). A novel, validated, and plant height-independent QTL for spike extension length is associated with yield-related traits in wheat. Theoretical and Applied Genetics. 133(12). 3381–3393. 33 indexed citations
16.
Ding, Puyang, Jian Ma, Yujie Yang, et al.. (2019). Structure and expression analysis of TaGW5 in common wheat. Indian Journal of Genetics and Plant Breeding (The). 79(2). 1 indexed citations
17.
Ma, Jian, Guoyue Chen, Puyang Ding, et al.. (2019). Identification and validation of a novel major QTL for all-stage stripe rust resistance on 1BL in the winter wheat line 20828. Theoretical and Applied Genetics. 132(5). 1363–1373. 38 indexed citations
18.
Ma, Jian, Han Zhang, Shuiqin Li, et al.. (2019). Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16. BMC Genetics. 20(1). 77–77. 43 indexed citations
19.
Yang, Qiang, Qing Li, Huaping Tang, et al.. (2019). Mutation of the d-hordein gene by RNA-guided Cas9 targeted editing reducing the grain size and changing grain compositions in barley. Food Chemistry. 311. 125892–125892. 21 indexed citations
20.
Sun, Min, Congcong Yang, Han Zhang, et al.. (2017). Development and validation of markers for spike density QTL, Qsd.sau-7A from Tibetan semi-wild wheat ( Triticum aestivum ssp. tibetanum ). Indian Journal of Genetics and Plant Breeding (The). 78(1). 11–11. 1 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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