Jiwen Yu

2.2k total citations
65 papers, 1.4k citations indexed

About

Jiwen Yu is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Jiwen Yu has authored 65 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Plant Science, 21 papers in Molecular Biology and 10 papers in Endocrinology. Recurrent topics in Jiwen Yu's work include Research in Cotton Cultivation (60 papers), Plant Virus Research Studies (25 papers) and Plant Molecular Biology Research (19 papers). Jiwen Yu is often cited by papers focused on Research in Cotton Cultivation (60 papers), Plant Virus Research Studies (25 papers) and Plant Molecular Biology Research (19 papers). Jiwen Yu collaborates with scholars based in China, United States and United Kingdom. Jiwen Yu's co-authors include Jinfa Zhang, Man Wu, Shuxun Yu, Wenfeng Pei, Meizhen Song, Shuli Fan, Xingli Li, Honghong Zhai, Jianjiang Ma and Guoyuan Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Jiwen Yu

64 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiwen Yu China 23 1.3k 496 204 81 78 65 1.4k
Dongfang Ma China 22 1.1k 0.8× 649 1.3× 54 0.3× 89 1.1× 19 0.2× 82 1.3k
Wenfeng Pei China 19 633 0.5× 266 0.5× 72 0.4× 37 0.5× 66 0.8× 46 704
Yǒulù Yuán China 17 893 0.7× 226 0.5× 107 0.5× 54 0.7× 10 0.1× 58 1.1k
Yizan Ma China 17 988 0.7× 738 1.5× 45 0.2× 61 0.8× 19 0.2× 29 1.1k
Jacob O. Brunkard United States 17 1.3k 1.0× 734 1.5× 55 0.3× 23 0.3× 33 0.4× 32 1.5k
Fábio Tebaldi Silveira Nogueira Brazil 26 2.2k 1.7× 1.7k 3.4× 32 0.2× 68 0.8× 31 0.4× 62 2.5k
Zhigang Meng China 17 942 0.7× 699 1.4× 34 0.2× 36 0.4× 15 0.2× 41 1.2k
Chuanfu An United States 16 906 0.7× 326 0.7× 56 0.3× 22 0.3× 11 0.1× 18 1.0k
Ghulam Qanmber China 21 1.1k 0.9× 743 1.5× 28 0.1× 24 0.3× 24 0.3× 50 1.2k

Countries citing papers authored by Jiwen Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jiwen Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiwen Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiwen Yu. A scholar is included among the top collaborators of Jiwen Yu 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 Jiwen Yu. Jiwen Yu 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.
Jia, Bing, Feng Pan, Hongyuan Xi, et al.. (2024). Transcriptome analysis reveals potential of down-regulated genes in cotton fiber improvement. Industrial Crops and Products. 217. 118737–118737.
2.
Xi, Hongyuan, Bing Jia, Feng Pan, et al.. (2024). Genome-wide analysis of HACD family genes and functional characterization of GhHACD2 for very long chain fatty acids biosynthesis in Gossypium hirsutum. Frontiers in Sustainable Food Systems. 8. 1 indexed citations
3.
Pan, Feng, Bing Jia, Jianjiang Ma, et al.. (2024). QTL mapping of major fatty acids and identification of candidate genes in cottonseed in an introgression line population from Gossypium hirsutum × Gossypium barbadense. Industrial Crops and Products. 222. 119391–119391. 1 indexed citations
4.
5.
Wu, Man, Wenfeng Pei, Tom Wedegaertner, Jinfa Zhang, & Jiwen Yu. (2022). Genetics, Breeding and Genetic Engineering to Improve Cottonseed Oil and Protein: A Review. Frontiers in Plant Science. 13. 864850–864850. 31 indexed citations
6.
Wang, Nuohan, Qiang Ma, Man Wu, et al.. (2021). Genetic variation in MYB5_A12 is associated with fibre initiation and elongation in tetraploid cotton. Plant Biotechnology Journal. 19(10). 1892–1894. 21 indexed citations
7.
Pei, Wenfeng, Jianjiang Ma, Bing Jia, et al.. (2021). Genome-wide association study of micronaire using a natural population of representative upland cotton (Gossypium hirsutum L.). Journal of Cotton Research. 4(1). 10 indexed citations
8.
Huang, Li, Lisen Liu, Bing Jia, et al.. (2021). Genome-Wide Analysis of DA1-Like Genes in Gossypium and Functional Characterization of GhDA1-1A Controlling Seed Size. Frontiers in Plant Science. 12. 647091–647091. 8 indexed citations
9.
Li, Zhonghua, Pengcheng Wang, Chunyuan You, et al.. (2020). Combined GWAS and eQTL analysis uncovers a genetic regulatory network orchestrating the initiation of secondary cell wall development in cotton. New Phytologist. 226(6). 1738–1752. 90 indexed citations
10.
Wu, Man, Guoyuan Liu, Xihua Li, et al.. (2019). Differentially expressed genes between two groups of backcross inbred lines differing in fiber length developed from Upland × Pima cotton. Molecular Biology Reports. 46(1). 1199–1212. 5 indexed citations
11.
Ma, Jianjiang, Wenfeng Pei, Qifeng Ma, et al.. (2019). QTL analysis and candidate gene identification for plant height in cotton based on an interspecific backcross inbred line population of Gossypium hirsutum × Gossypium barbadense. Theoretical and Applied Genetics. 132(9). 2663–2676. 39 indexed citations
12.
Zang, Xinshan, Xiaoli Geng, Lei Ma, et al.. (2019). A genome-wide analysis of the phospholipid: diacylglycerol acyltransferase gene family in Gossypium. BMC Genomics. 20(1). 402–402. 9 indexed citations
13.
Yu, Jiwen, Angli Xue, Shuli Fan, et al.. (2017). Dissecting Genetic Network of Fruit Branch Traits in Upland Cotton by Association Mapping Using SSR Markers. PLoS ONE. 12(1). e0162815–e0162815. 6 indexed citations
14.
Ma, Qifeng, Man Wu, Wenfeng Pei, et al.. (2016). Integrative transcriptome, proteome, phosphoproteome and genetic mapping reveals new aspects in a fiberless mutant of cotton. Scientific Reports. 6(1). 24485–24485. 21 indexed citations
15.
Ma, Qifeng, Man Wu, Wenfeng Pei, et al.. (2016). RNA-Seq-Mediated Transcriptome Analysis of a Fiberless Mutant Cotton and Its Possible Origin Based on SNP Markers. PLoS ONE. 11(3). e0151994–e0151994. 18 indexed citations
16.
Hao, Junjie, et al.. (2014). Direct Visualization of Horizontal Gene Transfer in Cotton Plants. Journal of Heredity. 105(6). 928–930. 3 indexed citations
17.
Ma, Qifeng, Man Wu, Wenfeng Pei, et al.. (2014). Quantitative phosphoproteomic profiling of fiber differentiation and initiation in a fiberless mutant of cotton. BMC Genomics. 15(1). 466–466. 32 indexed citations
18.
Wei, Mingming, Hengling Wei, Man Wu, et al.. (2013). Comparative expression profiling of miRNA during anther development in genetic male sterile and wild type cotton. BMC Plant Biology. 13(1). 66–66. 65 indexed citations
19.
Hao, Junjie, et al.. (2011). Genetic Effects and Diagnosis of Premature Senescence of Leaf in Upland Cotton. ACTA AGRONOMICA SINICA. 37(3). 389–396. 1 indexed citations
20.
Yin, Zujun, Yan Li, Jiwen Yu, et al.. (2011). Difference in miRNA expression profiles between two cotton cultivars with distinct salt sensitivity. Molecular Biology Reports. 39(4). 4961–4970. 68 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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