Gongwei Wang

5.0k total citations · 2 hit papers
33 papers, 3.0k citations indexed

About

Gongwei Wang is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, Gongwei Wang has authored 33 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 23 papers in Plant Science and 15 papers in Molecular Biology. Recurrent topics in Gongwei Wang's work include Genetic Mapping and Diversity in Plants and Animals (23 papers), Rice Cultivation and Yield Improvement (9 papers) and GABA and Rice Research (6 papers). Gongwei Wang is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (23 papers), Rice Cultivation and Yield Improvement (9 papers) and GABA and Rice Research (6 papers). Gongwei Wang collaborates with scholars based in China, Germany and South Korea. Gongwei Wang's co-authors include Weibo Xie, Xingming Lian, Yongzhong Xing, Yuqing He, Hu Zhao, Wanneng Yang, Sibin Yu, Jinghua Xiao, Xianghua Li and Wen Yao and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Gongwei Wang

33 papers receiving 2.9k citations

Hit Papers

Genome-wide association analyses provide genetic and bioc... 2014 2026 2018 2022 2014 2014 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism
    2014 537 citations Wei Chen, Yanqiang Gao et al. Nature Genetics profile →
  2. Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice
    2014 429 citations Wanneng Yang, Zilong Guo et al. Nature Communications profile →

Peers

Gongwei Wang
Xiangyuan Wan China
Jérôme Salse France
Shibin Gao China
Jun‐ichi Yonemaru Japan
Zhongli Hu China
Kenta Shirasawa Japan
Yonglian Zheng China
Ramil Mauleon Philippines
Swarup K. Parida India
Kun Wu China
Xiangyuan Wan China
Gongwei Wang
Citations per year, relative to Gongwei Wang Gongwei Wang (= 1×) peers Xiangyuan Wan

Countries citing papers authored by Gongwei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Gongwei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gongwei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Gongwei Wang. A scholar is included among the top collaborators of Gongwei 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 Gongwei Wang. Gongwei 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.
Tan, Jingyi, Jiayu Zhang, Cheng Hu, et al.. (2024). Pharmacokinetic enhancement of oncolytic virus M1 by inhibiting JAK‒STAT pathway. Acta Pharmaceutica Sinica B. 14(6). 2554–2566. 6 indexed citations
2.
Zhang, Weiyu, Gongwei Wang, Danhua Shen, et al.. (2021). Exploration on Gleason score variation trend of patients with prostate carcinoma from 1996 to 2019: a retrospective single center study. Gland Surgery. 10(2). 607–617. 1 indexed citations
3.
Liu, Chang, Yuan Tu, Shiyu Liao, et al.. (2020). Genome-wide association study of flowering time reveals complex genetic heterogeneity and epistatic interactions in rice. Gene. 770. 145353–145353. 9 indexed citations
4.
Li, Guangwei, Conghao Xu, Jiangyi Yang, et al.. (2020). Artificial Selection in Domestication and Breeding Prevents Speciation in Rice. Molecular Plant. 13(4). 650–657. 11 indexed citations
5.
Liao, Shiyu, et al.. (2020). Genetic basis of vascular bundle variations in rice revealed by genome-wide association study. Plant Science. 302. 110715–110715. 14 indexed citations
6.
Zhou, Hao, Duo Xia, Zhao Da, et al.. (2020). The origin of Wxla provides new insights into the improvement of grain quality in rice. Journal of Integrative Plant Biology. 63(5). 878–888. 63 indexed citations
7.
Li, Guangwei, Yan Zhou, Xufeng Bai, et al.. (2019). Genome-wide dissection of segregation distortion using multiple inter-subspecific crosses in rice. Science China Life Sciences. 62(4). 507–516. 12 indexed citations
8.
Zhou, Hao, Pingbo Li, Weibo Xie, et al.. (2017). Genome-wide Association Analyses Reveal the Genetic Basis of Stigma Exsertion in Rice. Molecular Plant. 10(4). 634–644. 70 indexed citations
9.
Feng, Hui, Zilong Guo, Wanneng Yang, et al.. (2017). An integrated hyperspectral imaging and genome-wide association analysis platform provides spectral and genetic insights into the natural variation in rice. Scientific Reports. 7(1). 4401–4401. 37 indexed citations
10.
Zhao, Hu, et al.. (2017). Genetic Architecture of Natural Variation in Rice Nonphotochemical Quenching Capacity Revealed by Genome-Wide Association Study. Frontiers in Plant Science. 8. 1773–1773. 39 indexed citations
11.
Ruwe, Hannes, et al.. (2016). Systematic analysis of plant mitochondrial and chloroplast small RNAs suggests organelle-specific mRNA stabilization mechanisms. Nucleic Acids Research. 44(15). gkw466–gkw466. 55 indexed citations
12.
Wu, Jinhong, Fangjun Feng, Xingming Lian, et al.. (2015). Genome-wide Association Study (GWAS) of mesocotyl elongation based on re-sequencing approach in rice. BMC Plant Biology. 15(1). 218–218. 77 indexed citations
13.
Yao, Wen, Guangwei Li, Hu Zhao, et al.. (2015). Exploring the rice dispensable genome using a metagenome-like assembly strategy. Genome biology. 16(1). 187–187. 72 indexed citations
14.
Xie, Weibo, Yan Ju, Xiang‐Zhou Meng, et al.. (2015). Genetic Architecture of Natural Variation in Rice Chlorophyll Content Revealed by a Genome-Wide Association Study. Molecular Plant. 8(6). 946–957. 104 indexed citations
15.
Yang, Wanneng, Zilong Guo, Chenglong Huang, et al.. (2014). Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice. Nature Communications. 5(1). 5087–5087. 429 indexed citations breakdown →
16.
Zhao, Hu, Wen Yao, Yidan Ouyang, et al.. (2014). RiceVarMap: a comprehensive database of rice genomic variations. Nucleic Acids Research. 43(D1). D1018–D1022. 232 indexed citations
17.
Peng, Bo, Yibo Li, Lingqiang Wang, et al.. (2014). OsAAP6 functions as an important regulator of grain protein content and nutritional quality in rice. Nature Communications. 5(1). 4847–4847. 233 indexed citations
18.
Li, Yibo, Chuchuan Fan, Yongzhong Xing, et al.. (2014). Chalk5 encodes a vacuolar H+-translocating pyrophosphatase influencing grain chalkiness in rice. Nature Genetics. 46(4). 398–404. 301 indexed citations
19.
Chen, Wei, Yanqiang Gao, Weibo Xie, et al.. (2014). Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism. Nature Genetics. 46(7). 714–721. 537 indexed citations breakdown →
20.
Wang, Gongwei, Inga Schmalenbach, Maria von Korff, et al.. (2010). Association of barley photoperiod and vernalization genes with QTLs for flowering time and agronomic traits in a BC2DH population and a set of wild barley introgression lines. Theoretical and Applied Genetics. 120(8). 1559–1574. 98 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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