Gengyun Zhang

11.5k total citations · 1 hit paper
38 papers, 2.0k citations indexed

About

Gengyun Zhang is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Gengyun Zhang has authored 38 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Plant Science, 13 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Gengyun Zhang's work include Genetic Mapping and Diversity in Plants and Animals (10 papers), Soybean genetics and cultivation (7 papers) and Legume Nitrogen Fixing Symbiosis (7 papers). Gengyun Zhang is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (10 papers), Soybean genetics and cultivation (7 papers) and Legume Nitrogen Fixing Symbiosis (7 papers). Gengyun Zhang collaborates with scholars based in China, United States and Denmark. Gengyun Zhang's co-authors include Xin Liu, Xun Xu, Jun Wang, Weiming He, Samuel S. M. Sun, Wenbin Chen, Nan Qin, Man‐Wah Li, Fuk‐Ling Wong and Min Jian and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Gengyun Zhang

36 papers receiving 2.0k citations

Hit Papers

Resequencing of 31 wild and cultivated soybean genomes id... 2010 2026 2015 2020 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gengyun Zhang China 20 1.7k 568 528 98 88 38 2.0k
R. M. Biyashev United States 15 1.6k 0.9× 622 1.1× 315 0.6× 58 0.6× 62 0.7× 26 1.8k
Abdul Rahim Harun Malaysia 22 2.0k 1.1× 505 0.9× 611 1.2× 73 0.7× 52 0.6× 85 2.2k
Longzhi Han China 23 1.5k 0.9× 850 1.5× 338 0.6× 62 0.6× 53 0.6× 98 1.7k
Dominique Brunel France 26 2.0k 1.2× 1.0k 1.8× 991 1.9× 115 1.2× 94 1.1× 39 2.4k
Mathias Lorieux France 32 2.6k 1.5× 1.3k 2.3× 530 1.0× 121 1.2× 133 1.5× 66 2.9k
Jiuyou Tang China 23 3.1k 1.8× 586 1.0× 1.3k 2.4× 72 0.7× 124 1.4× 30 3.4k
Xiue Wang China 33 3.0k 1.7× 505 0.9× 801 1.5× 63 0.6× 141 1.6× 129 3.3k
Giovanni M Cordeiro Australia 14 1.2k 0.7× 375 0.7× 497 0.9× 190 1.9× 49 0.6× 27 1.6k
Pawan L. Kulwal India 20 2.1k 1.2× 974 1.7× 249 0.5× 97 1.0× 297 3.4× 42 2.3k
Jeremy D. Edwards United States 16 1.4k 0.8× 518 0.9× 502 1.0× 62 0.6× 38 0.4× 42 1.7k

Countries citing papers authored by Gengyun Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Gengyun Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gengyun Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Gengyun Zhang. A scholar is included among the top collaborators of Gengyun 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 Gengyun Zhang. Gengyun Zhang 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.
Weng, Jiancong, Tian Chen, Yinlong Xie, et al.. (2020). IterCluster: a barcode clustering algorithm for long fragment read analysis. PeerJ. 8. e8431–e8431. 1 indexed citations
2.
Liang, Hongping, Tong Wei, Yan Xu, et al.. (2019). Phylogenomics Provides New Insights into Gains and Losses of Selenoproteins among Archaeplastida. International Journal of Molecular Sciences. 20(12). 3020–3020. 11 indexed citations
3.
Wang, Liang, Yanbo Cheng, Qibin Ma, et al.. (2019). QTL fine-mapping of soybean (Glycine max L.) leaf type associated traits in two RILs populations. BMC Genomics. 20(1). 260–260. 24 indexed citations
4.
Li, Yunfei, Shiming Li, Xin Jin, et al.. (2019). Phylogenomic Analysis of 85 Rhododendron Species in China Based on RAD Sequencing. 32(3). 1–8. 2 indexed citations
5.
Liu, Songling, Xiao Chen, Can Peng, et al.. (2019). Probiotic strains improve high-fat diet-induced hypercholesterolemia through modulating gut microbiota in ways different from atorvastatin. Food & Function. 10(9). 6098–6109. 18 indexed citations
6.
Xu, Yan, Sibo Wang, Linzhou Li, et al.. (2019). Molecular evidence for origin, diversification and ancient gene duplication of plant subtilases (SBTs). Scientific Reports. 9(1). 12485–12485. 18 indexed citations
7.
Li, Mu, Yanbo Cheng, Zhandong Cai, et al.. (2019). Genetic mapping of powdery mildew resistance genes in soybean by high-throughput genome-wide sequencing. Theoretical and Applied Genetics. 132(6). 1833–1845. 20 indexed citations
9.
Cai, Zhandong, Yanbo Cheng, Peiqi Xian, et al.. (2018). Acid phosphatase gene GmHAD1 linked to low phosphorus tolerance in soybean, through fine mapping. Theoretical and Applied Genetics. 131(8). 1715–1728. 33 indexed citations
10.
Zhang, Kai, Guangyu Fan, Xinxin Zhang, et al.. (2017). Identification of QTLs for 14 Agronomically Important Traits inSetaria italicaBased on SNPs Generated from High-Throughput Sequencing. G3 Genes Genomes Genetics. 7(5). 1587–1594. 40 indexed citations
11.
Liu, Nianxi, Mu Li, Qibin Ma, et al.. (2017). Construction of high-density genetic map and QTL mapping of yield-related and two quality traits in soybean RILs population by RAD-sequencing. BMC Genomics. 18(1). 466–466. 44 indexed citations
12.
Schnable, James C., Jie Xu, Gengyun Zhang, et al.. (2017). Genome-wide characterization of non-reference transposable element insertion polymorphisms reveals genetic diversity in tropical and temperate maize. BMC Genomics. 18(1). 702–702. 17 indexed citations
13.
14.
Zhang, Gengyun, et al.. (2016). Effects of cadmium and naphthalene on germination and growth of seedlings of mangrove plant Avicennia marina.. Redai yaredai zhiwu xuebao. 24(1). 80–86. 1 indexed citations
15.
Thudi, Mahendar, Annapurna Chitikineni, Xin Liu, et al.. (2016). Recent breeding programs enhanced genetic diversity in both desi and kabuli varieties of chickpea (Cicer arietinum L.). Scientific Reports. 6(1). 38636–38636. 68 indexed citations
16.
Xu, Jie, Yibing Yuan, Yunbi Xu, et al.. (2014). Identification of candidate genes for drought tolerance by whole-genome resequencing in maize. BMC Plant Biology. 14(1). 83–83. 86 indexed citations
17.
Alexandrov, Nickolai, Shuaishuai Tai, Wensheng Wang, et al.. (2014). SNP-Seek database of SNPs derived from 3000 rice genomes. Nucleic Acids Research. 43(D1). D1023–D1027. 266 indexed citations
18.
Xie, Chuanxiao, Jianfeng Weng, Wenguo Liu, et al.. (2013). Zea mays (L.) P1 locus for cob glume color identified as a post-domestication selection target with an effect on temperate maize genomes. The Crop Journal. 1(1). 15–24. 10 indexed citations
19.
Lu, Shaoyun, Zhenfei Guo, Gengyun Zhang, et al.. (2007). In vitro selection of salinity tolerant variants from triploid bermudagrass (Cynodon transvaalensis × C. dactylon) and their physiological responses to salt and drought stress. Plant Cell Reports. 26(8). 1413–1420. 39 indexed citations
20.
Zhang, Gengyun, et al.. (1995). RFLP tagging of a salt tolerance gene in rice. Plant Science. 110(2). 227–234. 80 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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