Jin‐Ying Gou

3.5k total citations · 1 hit paper
41 papers, 2.6k citations indexed

About

Jin‐Ying Gou is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Jin‐Ying Gou has authored 41 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 20 papers in Molecular Biology and 5 papers in Agronomy and Crop Science. Recurrent topics in Jin‐Ying Gou's work include Wheat and Barley Genetics and Pathology (8 papers), Plant Molecular Biology Research (7 papers) and Plant Stress Responses and Tolerance (6 papers). Jin‐Ying Gou is often cited by papers focused on Wheat and Barley Genetics and Pathology (8 papers), Plant Molecular Biology Research (7 papers) and Plant Stress Responses and Tolerance (6 papers). Jin‐Ying Gou collaborates with scholars based in China, United States and Pakistan. Jin‐Ying Gou's co-authors include Chang‐Jun Liu, Jiawei Wang, Detlef Weigel, Felipe Fenselau de Felippes, Xiao‐Ya Chen, Xiaohong Yu, Ling-Jian Wang, Chunhong Li, Hong‐Wei Xue and Ying Lou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Plant Cell.

In The Last Decade

Jin‐Ying Gou

40 papers receiving 2.6k citations

Hit Papers

Negative Regulation of Anthocyanin Biosynthesis in Arabid... 2011 2026 2016 2021 2011 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
Jin‐Ying Gou China 18 2.2k 1.5k 132 120 97 41 2.6k
Sateesh Kagale Canada 22 2.4k 1.1× 1.5k 1.0× 59 0.4× 205 1.7× 116 1.2× 46 2.9k
Xiaoyang Ge China 27 1.8k 0.8× 1.1k 0.8× 30 0.2× 67 0.6× 73 0.8× 83 2.1k
Daqi Fu China 28 2.9k 1.3× 2.3k 1.5× 222 1.7× 89 0.7× 73 0.8× 83 3.5k
Marina Naoumkina United States 23 1.3k 0.6× 994 0.7× 94 0.7× 38 0.3× 65 0.7× 46 1.8k
Hengling Wei China 31 2.1k 1.0× 1.3k 0.9× 43 0.3× 100 0.8× 28 0.3× 117 2.5k
Jia‐Long Yao New Zealand 32 2.5k 1.1× 2.2k 1.5× 180 1.4× 88 0.7× 195 2.0× 82 3.0k
Xue‐Bao Li China 38 3.3k 1.5× 2.1k 1.4× 24 0.2× 62 0.5× 46 0.5× 101 3.7k
Keming Luo China 24 1.5k 0.7× 1.4k 1.0× 129 1.0× 65 0.5× 48 0.5× 57 2.0k
Shengrui Liu China 24 828 0.4× 701 0.5× 186 1.4× 171 1.4× 97 1.0× 56 1.5k
Marc C. E. Van Montagu Belgium 16 2.2k 1.0× 2.1k 1.4× 60 0.5× 168 1.4× 146 1.5× 16 3.0k

Countries citing papers authored by Jin‐Ying Gou

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Ying Gou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Ying Gou. 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 Jin‐Ying Gou. The network helps show where Jin‐Ying Gou may publish in the future.

Co-authorship network of co-authors of Jin‐Ying Gou

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Ying Gou. A scholar is included among the top collaborators of Jin‐Ying Gou 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 Jin‐Ying Gou. Jin‐Ying Gou 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.
Yan, Yan, Zhen Zhang, Guoyu Liu, et al.. (2025). Suppressing wheat sucrose phosphate synthase 1-B protects wheat against stripe rust. Journal of Advanced Research. 74. 137–151. 2 indexed citations
2.
Ali, Amjad, Hüsnü Aktaş, Muhammad Azhar Nadeem, et al.. (2025). Molecular screening of septoria-resistant genes in historical Turkish bread wheat germplasm using the validated gene specific SSR markers. TURKISH JOURNAL OF AGRICULTURE AND FORESTRY. 49(1). 89–109. 2 indexed citations
3.
Tian, Wenfei, Xue Gong, Li Zhi, et al.. (2024). Modern Wheat Varieties Demonstrated Higher Grain Yield and Health-Promoting Ferulic Acid than Old Varieties in Pakistan. ACS Food Science & Technology. 4(11). 2699–2706.
4.
Yan, Yan, et al.. (2024). Enhancing the antioxidant potential of wheatgrass to improve nutrient value. 3(1). 0–0. 1 indexed citations
5.
Yan, Yan, Xiaoming Li, Congwei Sun, et al.. (2023). HSP90.2 modulates 2Q2‐mediated wheat resistance against powdery mildew. Plant Cell & Environment. 46(6). 1935–1945. 6 indexed citations
6.
Yan, Yan, Xiaoming Li, Yun Chen, et al.. (2023). Phosphorylation of KAT-2B by WKS1/Yr36 redirects the lipid flux to jasmonates to enhance resistance against wheat stripe rust. Journal of genetics and genomics. 50(11). 872–882. 11 indexed citations
7.
Yan, Yan, Xiao‐Ming Li, Congwei Sun, et al.. (2023). HSP90.2 promotes CO2 assimilation rate, grain weight and yield in wheat. Plant Biotechnology Journal. 21(6). 1229–1239. 14 indexed citations
8.
Yan, Yan, et al.. (2023). Suppressing ASPARTIC PROTEASE 1 prolongs photosynthesis and increases wheat grain weight. Nature Plants. 9(6). 965–977. 19 indexed citations
9.
Zhang, Junli, T. A. Howell, Adam J. Lukaszewski, et al.. (2023). Dosage differences in 12-OXOPHYTODIENOATE REDUCTASE genes modulate wheat root growth. Nature Communications. 14(1). 539–539. 28 indexed citations
10.
Gou, Jin‐Ying, et al.. (2023). Screening of wheat grains enriched with wall-bound phenolic compounds. MethodsX. 10. 102245–102245. 4 indexed citations
11.
Yang, Shuxian, Yan Yan, Junli Zhang, et al.. (2023). Suppression of ZEAXANTHIN EPOXIDASE 1 restricts stripe rust growth in wheat. Plant Communications. 4(5). 100608–100608. 6 indexed citations
12.
Wang, Shuai, Qiuping Li, Jianfeng Wang, et al.. (2019). YR36/WKS1-Mediated Phosphorylation of PsbO, an Extrinsic Member of Photosystem II, Inhibits Photosynthesis and Confers Stripe Rust Resistance in Wheat. Molecular Plant. 12(12). 1639–1650. 66 indexed citations
13.
Chen, Zhongzhong, et al.. (2019). Isolation of wheat mutants with higher grain phenolics to enhance anti-oxidant potential. Food Chemistry. 303. 125363–125363. 20 indexed citations
14.
Yang, Shuxian, et al.. (2019). SAHH and SAMS form a methyl donor complex with CCoAOMT7 for methylation of phenolic compounds. Biochemical and Biophysical Research Communications. 520(1). 122–127. 13 indexed citations
15.
Jin, Xiao & Jin‐Ying Gou. (2016). A rapid and cost-effective fluorescence detection in tube (FDIT) method to analyze protein phosphorylation. Plant Methods. 12(1). 43–43. 16 indexed citations
16.
Cheng, Ai‐Xia, Jin‐Ying Gou, Xiaohong Yu, et al.. (2013). Characterization and Ectopic Expression of a Populus Hydroxyacid Hydroxycinnamoyltransferase. Molecular Plant. 6(6). 1889–1903. 29 indexed citations
17.
Xu, Baohua, et al.. (2012). A Cotton BURP Domain Protein Interacts with and #945;-Expansin and Their Co-Expression Promotes Plant Growth and Fruit Production. Molecular Plant. 15 indexed citations
18.
Yu, Xiaohong, Jin‐Ying Gou, & Chang‐Jun Liu. (2009). BAHD superfamily of acyl-CoA dependent acyltransferases in Populus and Arabidopsis: bioinformatics and gene expression. Plant Molecular Biology. 70(4). 421–442. 86 indexed citations
20.
Han, Zhiguo, Changbiao Wang, Xianliang Song, et al.. (2005). Characteristics, development and mapping of Gossypium hirsutum derived EST-SSRs in allotetraploid cotton. Theoretical and Applied Genetics. 112(3). 430–439. 190 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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