Shengcheng Zhang

1.8k total citations · 1 hit paper
18 papers, 655 citations indexed

About

Shengcheng Zhang is a scholar working on Molecular Biology, Plant Science and Pathology and Forensic Medicine. According to data from OpenAlex, Shengcheng Zhang has authored 18 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Plant Science and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Shengcheng Zhang's work include Tea Polyphenols and Effects (3 papers), Genomics and Phylogenetic Studies (3 papers) and Plant biochemistry and biosynthesis (3 papers). Shengcheng Zhang is often cited by papers focused on Tea Polyphenols and Effects (3 papers), Genomics and Phylogenetic Studies (3 papers) and Plant biochemistry and biosynthesis (3 papers). Shengcheng Zhang collaborates with scholars based in China, United States and Australia. Shengcheng Zhang's co-authors include Xingtan Zhang, Ray Ming, Haibao Tang, Qian Zhao, Weilong Kong, Yibin Wang, Zhenyang Liao, Jiaxin Yu, Qiansu Ding and Shanshan Dong and has published in prestigious journals such as Nature Communications, Bioinformatics and Genome biology.

In The Last Decade

Shengcheng Zhang

17 papers receiving 650 citations

Hit Papers

Assembly of allele-aware, chromosomal-scale autopolyploid... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengcheng Zhang China 10 409 408 150 61 33 18 655
Yan Hou China 13 322 0.8× 236 0.6× 116 0.8× 83 1.4× 38 1.2× 18 548
Jun Fu China 12 242 0.6× 325 0.8× 156 1.0× 27 0.4× 25 0.8× 24 496
Yinan Yuan United States 10 451 1.1× 497 1.2× 62 0.4× 32 0.5× 23 0.7× 25 750
Junpeng Shi China 10 486 1.2× 846 2.1× 205 1.4× 30 0.5× 20 0.6× 16 1.1k
Amanda M. Hulse‐Kemp United States 17 271 0.7× 616 1.5× 144 1.0× 40 0.7× 16 0.5× 50 796
Gengrui Zhu China 13 509 1.2× 731 1.8× 118 0.8× 62 1.0× 55 1.7× 33 924
Jamila Chaïb France 11 371 0.9× 650 1.6× 114 0.8× 48 0.8× 29 0.9× 15 790
Jafar Mammadov United States 9 239 0.6× 639 1.6× 252 1.7× 34 0.6× 16 0.5× 13 738
Minren Huang China 17 606 1.5× 702 1.7× 229 1.5× 69 1.1× 25 0.8× 70 1.0k
H. Witsenboer Netherlands 12 223 0.5× 488 1.2× 181 1.2× 89 1.5× 37 1.1× 14 673

Countries citing papers authored by Shengcheng Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Shengcheng Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengcheng Zhang

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

All Works

18 of 18 papers shown
1.
Wang, Yibin, Xiaofei Zeng, Shengcheng Zhang, et al.. (2024). MIKE: an ultrafast, assembly-, and alignment-free approach for phylogenetic tree construction. Bioinformatics. 40(4). 4 indexed citations
2.
Ning, Delu, Tao Wu, Wen‐Long Lei, et al.. (2024). The telomere-to-telomere gap-free genome assembly of Juglans sigillata. Horticultural Plant Journal. 11(4). 1551–1563.
3.
Zhang, Xinsong, et al.. (2024). Adaptive Recursive Terminal Sliding Mode Control for MEMS Gyros Using Improved Neural Network With Constrained Input Mapping. IEEE Access. 13. 71930–71942. 1 indexed citations
4.
Zhang, Lin, Shi Yan, Wenfang Gong, et al.. (2024). The tetraploid Camellia oleifera genome provides insights into evolution, agronomic traits, and genetic architecture of oil Camellia plants. Cell Reports. 43(11). 114902–114902. 9 indexed citations
5.
Shang, Xulan, Wenling Wang, Tian Li, et al.. (2023). Whole-Genome Duplication Reshaped Adaptive Evolution in a Relict Plant Species, Cyclocarya Paliurus. Genomics Proteomics & Bioinformatics. 21(3). 455–469. 19 indexed citations
7.
Kong, Weilong, Yibin Wang, Shengcheng Zhang, Jiaxin Yu, & Xingtan Zhang. (2023). Recent Advances in Assembly of Complex Plant Genomes. Genomics Proteomics & Bioinformatics. 21(3). 427–439. 35 indexed citations
8.
Kong, Weilong, Qing Zhang, Wen‐Long Lei, et al.. (2023). 5mC DNA methylation modification-mediated regulation in tissue functional differentiation and important flavor substance synthesis of tea plant (Camellia sinensis L.). Horticulture Research. 10(8). uhad126–uhad126. 15 indexed citations
9.
Lin, Jishan, Wenping Zhang, Xingtan Zhang, et al.. (2022). Signatures of selection in recently domesticated macadamia. Nature Communications. 13(1). 242–242. 29 indexed citations
10.
Ma, Xiaokai, Liang Yu, Mahpara Fatima, et al.. (2022). The spinach YY genome reveals sex chromosome evolution, domestication, and introgression history of the species. Genome biology. 23(1). 75–75. 27 indexed citations
11.
Kong, Weilong, Mengwei Jiang, Yibin Wang, et al.. (2022). Pan-transcriptome assembly combined with multiple association analysis provides new insights into the regulatory network of specialized metabolites in the tea plant Camellia sinensis. Horticulture Research. 9. uhac100–uhac100. 24 indexed citations
12.
Chen, Daiwen, Jingping Fang, Yibin Wang, et al.. (2022). Evolutionary genomics of structural variation in the tea plant, <i>Camellia sinensis</i>. 1(1). 1–11. 6 indexed citations
13.
Liao, Zhenyang, Xunxiao Zhang, Shengcheng Zhang, et al.. (2021). Structural variations in papaya genomes. BMC Genomics. 22(1). 335–335. 17 indexed citations
14.
Kong, Weilong, Chenhao Zhang, Shengcheng Zhang, et al.. (2021). Uncovering the Novel QTLs and Candidate Genes of Salt Tolerance in Rice with Linkage Mapping, RTM-GWAS, and RNA-seq. Rice. 14(1). 93–93. 27 indexed citations
15.
Ma, Dongna, Shanshan Dong, Shengcheng Zhang, et al.. (2020). Chromosome‐level reference genome assembly provides insights into aroma biosynthesis in passion fruit (Passiflora edulis). Molecular Ecology Resources. 21(3). 955–968. 41 indexed citations
16.
Zhang, Xingtan, Shengcheng Zhang, Qian Zhao, Ray Ming, & Haibao Tang. (2019). Assembly of allele-aware, chromosomal-scale autopolyploid genomes based on Hi-C data. Nature Plants. 5(8). 833–845. 386 indexed citations breakdown →
17.
Li, Qizheng, et al.. (2014). Transaction : Optimized Stearns-Noechel Model to Predict Mixed Color Values of Yarn-Dyed Fabrics (繊維学会創立70周年記念特集号) -- (英文特集). 70(9). 218–224. 3 indexed citations
18.
Li, Qizheng, et al.. (2014). Optimized Stearns-Noechel Model to Predict Mixed Color Values of Yarn-Dyed Fabrics. Sen i Gakkaishi. 70(9). 218–224. 8 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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