Lingshuang Wang

857 total citations
21 papers, 273 citations indexed

About

Lingshuang Wang is a scholar working on Plant Science, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Lingshuang Wang has authored 21 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 5 papers in Agronomy and Crop Science and 1 paper in Molecular Biology. Recurrent topics in Lingshuang Wang's work include Soybean genetics and cultivation (21 papers), Legume Nitrogen Fixing Symbiosis (18 papers) and Plant Molecular Biology Research (6 papers). Lingshuang Wang is often cited by papers focused on Soybean genetics and cultivation (21 papers), Legume Nitrogen Fixing Symbiosis (18 papers) and Plant Molecular Biology Research (6 papers). Lingshuang Wang collaborates with scholars based in China, Canada and Kazakhstan. Lingshuang Wang's co-authors include Fanjiang Kong, Chao Fang, Baohui Liu, Haiyang Li, Lidong Dong, Shichen Li, Qun Cheng, Sijia Lü, Haiping Du and Xiaohui Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Lingshuang Wang

19 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingshuang Wang China 9 266 51 46 13 5 21 273
Baohui Liu China 8 267 1.0× 86 1.7× 37 0.8× 11 0.8× 3 0.6× 17 279
Liming Ma China 6 227 0.9× 49 1.0× 38 0.8× 14 1.1× 2 0.4× 8 242
Amandine Crabos France 8 348 1.3× 70 1.4× 53 1.2× 16 1.2× 3 0.6× 14 365
Hemal Bhasin Germany 5 324 1.2× 81 1.6× 59 1.3× 10 0.8× 3 0.6× 5 334
Ben Weers United States 5 207 0.8× 78 1.5× 58 1.3× 36 2.8× 2 0.4× 8 224
Zhihong Hou China 10 308 1.2× 97 1.9× 40 0.9× 10 0.8× 6 1.2× 15 319
Kun Kou China 4 154 0.6× 50 1.0× 22 0.5× 9 0.7× 5 1.0× 6 162
Martin Charette Canada 7 403 1.5× 24 0.5× 72 1.6× 15 1.2× 4 0.8× 12 411
Xingzheng Zhang China 9 292 1.1× 80 1.6× 31 0.7× 12 0.9× 2 0.4× 19 311
Xiangbin Zhong China 5 224 0.8× 103 2.0× 23 0.5× 18 1.4× 4 0.8× 9 247

Countries citing papers authored by Lingshuang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lingshuang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingshuang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Lingshuang Wang. A scholar is included among the top collaborators of Lingshuang Wang 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 Lingshuang Wang. Lingshuang Wang 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.
Wen, Yimin, et al.. (2025). Genome-Wide Identification of the BXL Gene Family in Soybean and Expression Analysis Under Salt Stress. International Journal of Molecular Sciences. 26(19). 9534–9534.
2.
Wang, Lingshuang, Huan Liu, Lei Chen, et al.. (2024). LEAFY1 and 2 are required for floral organ development in soybean. aBIOTECH. 6(1). 12–21. 2 indexed citations
3.
Fang, Chao, Zhihui Sun, Shichen Li, et al.. (2024). Subfunctionalisation and self-repression of duplicated E1 homologues finetunes soybean flowering and adaptation. Nature Communications. 15(1). 6184–6184. 6 indexed citations
4.
Su, Tong, Huan Liu, Jianhao Wang, et al.. (2024). Soybean hypocotyl elongation is regulated by a MYB33‐SWEET11/21‐GA2ox8c module involving long‐distance sucrose transport. Plant Biotechnology Journal. 22(10). 2859–2872. 10 indexed citations
5.
Wu, Yichun, Xin Huang, Zhihong Hou, et al.. (2024). Effects of decapitation on yield-related traits of total node number per plant in soybean. Field Crops Research. 321. 109664–109664.
6.
Zhao, Xiaohui, Haiyang Li, Lingshuang Wang, et al.. (2024). A critical suppression feedback loop determines soybean photoperiod sensitivity. Developmental Cell. 59(13). 1750–1763.e4. 10 indexed citations
7.
Li, Shichen, Qing Sang, Lingping Kong, et al.. (2023). Soybean reduced internode 1 determines internode length and improves grain yield at dense planting. Nature Communications. 14(1). 7939–7939. 26 indexed citations
8.
An, Jie, Chao Fang, Haiyang Li, et al.. (2023). A retrotransposon insertion in the Mao1 promoter results in erect pubescence and higher yield in soybean. Proceedings of the National Academy of Sciences. 120(13). e2210791120–e2210791120. 5 indexed citations
9.
Fang, Chao, Haiping Du, Lingshuang Wang, Baohui Liu, & Fanjiang Kong. (2023). Mechanisms underlying key agronomic traits and implications for molecular breeding in soybean. Journal of genetics and genomics. 51(4). 379–393. 18 indexed citations
10.
Wang, Lingshuang, Chun Lin, Bohui Li, et al.. (2023). Two soybean homologues of TERMINAL FLOWER 1 control flowering time under long day conditions. The Crop Journal. 11(3). 704–712. 7 indexed citations
11.
Wang, Lingshuang, Haiyang Li, Lidong Dong, et al.. (2022). GIGANTEA orthologs, E2 members, redundantly determine photoperiodic flowering and yield in soybean. Journal of Integrative Plant Biology. 65(1). 188–202. 20 indexed citations
12.
Lv, Tianxiao, Lingshuang Wang, Chunyu Zhang, et al.. (2022). Identification of two quantitative genes controlling soybean flowering using bulked-segregant analysis and genetic mapping. Frontiers in Plant Science. 13. 987073–987073. 5 indexed citations
13.
Dong, Lidong, Shichen Li, Lingshuang Wang, et al.. (2022). The genetic basis of high-latitude adaptation in wild soybean. Current Biology. 33(2). 252–262.e4. 31 indexed citations
14.
Dong, Lidong, Shichen Li, Qun Cheng, et al.. (2022). The Genetic Basis of High-Latitude Adaptation in Wild Soybean. SSRN Electronic Journal. 5 indexed citations
15.
Li, Jun, Yuhang Zhang, Ruirui Ma, et al.. (2022). Identification of ST1 reveals a selection involving hitchhiking of seed morphology and oil content during soybean domestication. Plant Biotechnology Journal. 20(6). 1110–1121. 46 indexed citations
16.
Tang, Yang, Sijia Lü, Chao Fang, et al.. (2022). Diverse flowering responses subjecting to ambient high temperature in soybean under short‐day conditions. Plant Biotechnology Journal. 21(4). 782–791. 27 indexed citations
17.
Li, Shichen, Tong Su, Lingshuang Wang, et al.. (2021). Rapid excavating a FLOWERING LOCUS T-regulator NF-YA using genotyping-by-sequencing. Molecular Breeding. 41(7). 45–45. 3 indexed citations
18.
Su, Tong, Yanping Wang, Shichen Li, et al.. (2021). A flowering time locus dependent on E2 in soybean. Molecular Breeding. 41(5). 35–35. 5 indexed citations
19.
Wang, Lingshuang, Chao Fang, Jun Liu, et al.. (2020). Identification of major QTLs for flowering and maturity in soybean by genotyping-by-sequencing analysis. Molecular Breeding. 40(10). 6 indexed citations
20.
Zhang, Chao, Binbin Zhang, Qingshan Chen, et al.. (2017). Functional analysis of the GmESR1 gene associated with soybean regeneration. PLoS ONE. 12(4). e0175656–e0175656. 5 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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