Weixuan Cong

435 total citations
9 papers, 288 citations indexed

About

Weixuan Cong is a scholar working on Plant Science, Ecology and Molecular Biology. According to data from OpenAlex, Weixuan Cong has authored 9 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 2 papers in Ecology and 1 paper in Molecular Biology. Recurrent topics in Weixuan Cong's work include Plant Stress Responses and Tolerance (5 papers), Plant Molecular Biology Research (4 papers) and Soybean genetics and cultivation (2 papers). Weixuan Cong is often cited by papers focused on Plant Stress Responses and Tolerance (5 papers), Plant Molecular Biology Research (4 papers) and Soybean genetics and cultivation (2 papers). Weixuan Cong collaborates with scholars based in China, South Korea and United States. Weixuan Cong's co-authors include Liu B, Zheng‐Yi Xu, Yutong Liu, Ai Zhang, Xiufang Ou, Tianjing Wang, Peng Guo, Chunming Xu, Shuangzhan Huang and Chunlei Yuan and has published in prestigious journals such as Journal of Hazardous Materials, New Phytologist and Chemosphere.

In The Last Decade

Weixuan Cong

9 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weixuan Cong China	6	253	118	16	12	10	9	288
Yu Sheng China	11	256 1.0×	126 1.1×	21 1.3×	9 0.8×	13 1.3×	18	320
Saqlain Haider Pakistan	6	295 1.2×	143 1.2×	9 0.6×	7 0.6×	7 0.7×	8	356
Michael Thieme Switzerland	8	240 0.9×	120 1.0×	32 2.0×	16 1.3×	19 1.9×	18	285
Dandan Ji China	6	350 1.4×	161 1.4×	52 3.3×	13 1.1×	8 0.8×	19	396
Bhabesh Borphukan India	7	232 0.9×	135 1.1×	35 2.2×	18 1.5×	6 0.6×	11	264
Guo-Qiang Wu China	10	424 1.7×	126 1.1×	6 0.4×	7 0.6×	20 2.0×	22	470
Vladislava Galović Serbia	8	154 0.6×	80 0.7×	27 1.7×	18 1.5×	18 1.8×	33	211
Arun K. Pandey China	8	191 0.8×	62 0.5×	27 1.7×	12 1.0×	5 0.5×	13	237
Mireille Cabané France	8	324 1.3×	137 1.2×	8 0.5×	4 0.3×	8 0.8×	11	375
Huajin Sheng China	8	314 1.2×	68 0.6×	44 2.8×	8 0.7×	11 1.1×	17	346

Countries citing papers authored by Weixuan Cong

Since Specialization

Citations

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

Fields of papers citing papers by Weixuan Cong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weixuan Cong

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Yang, Songnan, Miao Zhang, Rongrong Yao, et al.. (2024). Linkage Mapping and QTL Analysis of Isoflavones Composition in Soybean Seeds. Phyton. 93(9). 2209–2225. 1 indexed citations

2.

Yao, Dan, et al.. (2024). Comparative transcriptomic analysis reveals the molecular mechanism underlying seedling heterosis and its relationship with hybrid contemporary seeds DNA methylation in soybean. Frontiers in Plant Science. 15. 1364284–1364284. 4 indexed citations

3.

Cong, Weixuan, Ning Li, Wenhao Zhao, et al.. (2023). DNA hypomethylation-associated transcriptional rewiring enables resistance to heavy metal mercury (Hg) stress in rice. Journal of Hazardous Materials. 461. 132649–132649. 16 indexed citations

4.

Cong, Weixuan, Ning Li, Ying Kang, et al.. (2021). Genome-wide locus-specific DNA methylation repatterning may facilitate rapid evolution of mercury resistance in rice. Genes & Genomics. 44(3). 299–306. 3 indexed citations

5.

Cong, Weixuan, Jingyao Mu, Tingting Zhuang, et al.. (2021). Various potentially toxic element tolerances in different rice genotypes correlate with distinct physiological responses and alterations in DNA methylation.. Chemosphere. 292. 133462–133462. 5 indexed citations

6.

Wang, Tianjing, Shuangzhan Huang, Ai Zhang, et al.. (2021). JMJ17–WRKY40 and HY5–ABI5 modules regulate the expression of ABA‐responsive genes in Arabidopsis. New Phytologist. 230(2). 567–584. 80 indexed citations

7.

Liu, Yutong, Xi Chen, Taiyong Quan, et al.. (2021). SET DOMAIN GROUP 721 protein functions in saline–alkaline stress tolerance in the model rice variety Kitaake. Plant Biotechnology Journal. 19(12). 2576–2588. 45 indexed citations

8.

Yu, Xiaoming, Yifan Wu, Dae Heon Kim, et al.. (2020). Chromatin Remodeling Protein ZmCHB101 Regulates Nitrate-Responsive Gene Expression in Maize. Frontiers in Plant Science. 11. 52–52. 18 indexed citations

9.

Cong, Weixuan, Lei Xu, Yunhong Zhang, et al.. (2019). Transgenerational memory of gene expression changes induced by heavy metal stress in rice (Oryza sativa L.). BMC Plant Biology. 19(1). 282–282. 116 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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