Xiaowen Shi

1.1k total citations
34 papers, 678 citations indexed

About

Xiaowen Shi is a scholar working on Plant Science, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaowen Shi has authored 34 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 14 papers in Molecular Biology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaowen Shi's work include Plant Disease Resistance and Genetics (10 papers), Chromosomal and Genetic Variations (10 papers) and Photosynthetic Processes and Mechanisms (7 papers). Xiaowen Shi is often cited by papers focused on Plant Disease Resistance and Genetics (10 papers), Chromosomal and Genetic Variations (10 papers) and Photosynthetic Processes and Mechanisms (7 papers). Xiaowen Shi collaborates with scholars based in United States, China and France. Xiaowen Shi's co-authors include Stéphane Bentolila, Maureen R. Hanson, James A. Birchler, Jianlin Cheng, Jie Hou, Hua Yang, Klaas J. van Wijk, Tao Sun, Giulia Friso and Tieming Ji and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Xiaowen Shi

31 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaowen Shi United States 15 448 215 78 57 40 34 678
Miloš Nikolić Germany 15 571 1.3× 88 0.4× 187 2.4× 16 0.3× 40 1.0× 38 880
Jing Zhu China 16 250 0.6× 163 0.8× 82 1.1× 20 0.4× 19 0.5× 66 665
Qingming Tang China 16 292 0.7× 352 1.6× 83 1.1× 29 0.5× 107 2.7× 43 736
Il‐Youp Kwak South Korea 15 419 0.9× 108 0.5× 208 2.7× 31 0.5× 95 2.4× 48 780
Byung-Wook Lee South Korea 12 359 0.8× 96 0.4× 57 0.7× 24 0.4× 14 0.3× 75 768
Avvaru N. Suhasini India 19 697 1.6× 95 0.4× 87 1.1× 26 0.5× 33 0.8× 43 947
Xuewei Qi China 14 319 0.7× 236 1.1× 31 0.4× 26 0.5× 9 0.2× 40 688
Yanfei Zou United States 11 695 1.6× 74 0.3× 157 2.0× 17 0.3× 54 1.4× 14 920
Junya Nakamura Japan 9 261 0.6× 141 0.7× 18 0.2× 6 0.1× 17 0.4× 43 544
Xingwei Wang China 17 435 1.0× 71 0.3× 147 1.9× 30 0.5× 68 1.7× 38 869

Countries citing papers authored by Xiaowen Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowen Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaowen Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaowen Shi. A scholar is included among the top collaborators of Xiaowen Shi 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 Xiaowen Shi. Xiaowen Shi 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.
Jiang, Haojie, Tian Pan, Xiaowen Shi, et al.. (2025). Structural Variation and 3D Genome‐Driven DNA/RNA Methylation Divergence Contributing to Cotton Fiber Domestication. Advanced Science. 13(9). e14381–e14381.
2.
Yue, Wenjie, et al.. (2024). Effect of the B chromosome-located long non-coding RNAs on gene expression in maize. SHILAP Revista de lepidopterología. 4(1). 100091–100091.
3.
Chen, Z, et al.. (2024). The B Chromosome: An Optimum Platform For Maize Minichromosome Engineering. Critical Reviews in Plant Sciences. 44(1). 30–45. 1 indexed citations
4.
Shi, Xiaowen & Yuan‐Gen Wang. (2024). CPDM: Content-preserving diffusion model for underwater image enhancement. Scientific Reports. 14(1). 31309–31309. 8 indexed citations
5.
Shi, Xiaowen, Hua Yang, Jie Hou, et al.. (2022). Effect of aneuploidy of a non‐essential chromosome on gene expression in maize. The Plant Journal. 110(1). 193–211. 14 indexed citations
6.
Shi, Xiaowen, Hua Yang, Jie Hou, et al.. (2022). Dosage-sensitive miRNAs trigger modulation of gene expression during genomic imbalance in maize. Nature Communications. 13(1). 3014–3014. 11 indexed citations
7.
Shi, Xiaowen, Hua Yang, Chen Chen, et al.. (2021). Genomic imbalance determines positive and negative modulation of gene expression in diploid maize. The Plant Cell. 33(4). 917–939. 21 indexed citations
8.
Yang, Hua, Xiaowen Shi, Chen Chen, et al.. (2021). Predominantly inverse modulation of gene expression in genomically unbalanced disomic haploid maize. The Plant Cell. 33(4). 901–916. 21 indexed citations
9.
Hou, Jie, et al.. (2021). DeepGRN: prediction of transcription factor binding site across cell-types using attention-based deep neural networks. BMC Bioinformatics. 22(1). 38–38. 55 indexed citations
10.
Zhang, Peng, Yi Bu, Peng Jiang, et al.. (2021). Toward a Coronavirus Knowledge Graph. Genes. 12(7). 998–998. 6 indexed citations
11.
Shi, Xiaowen, Hua Yang, Jie Hou, et al.. (2020). The Gene Balance Hypothesis: Epigenetics and Dosage Effects in Plants. Methods in molecular biology. 2093. 161–171. 13 indexed citations
12.
Johnson, Adam F., Jie Hou, Hua Yang, et al.. (2020). Magnitude of modulation of gene expression in aneuploid maize depends on the extent of genomic imbalance. Journal of genetics and genomics. 47(2). 93–103. 14 indexed citations
13.
He, Liheng, Ruimin Tang, Xiaowen Shi, et al.. (2019). Uncovering anthocyanin biosynthesis related microRNAs and their target genes by small RNA and degradome sequencing in tuberous roots of sweetpotato. BMC Plant Biology. 19(1). 232–232. 48 indexed citations
14.
Ma, Wenbo, et al.. (2018). Edge detection with feature re-extraction deep convolutional neural network. Journal of Visual Communication and Image Representation. 57. 84–90. 12 indexed citations
15.
Hou, Jie, Xiaowen Shi, Adam F. Johnson, et al.. (2018). Global impacts of chromosomal imbalance on gene expression in Arabidopsis and other taxa. Proceedings of the National Academy of Sciences. 115(48). E11321–E11330. 42 indexed citations
16.
Li, Tianlong, et al.. (2017). Effects of silencing INHα gene by RNAi on the mRNA expressions of StAR, FST, INHβB, and FSHR genes in cultured sheep granulosa cells. Small Ruminant Research. 157. 23–26. 8 indexed citations
17.
Sun, Tao, Xiaowen Shi, Giulia Friso, et al.. (2015). A Zinc Finger Motif-Containing Protein Is Essential for Chloroplast RNA Editing. PLoS Genetics. 11(3). e1005028–e1005028. 107 indexed citations
18.
Shi, Xiaowen, Maureen R. Hanson, & Stéphane Bentolila. (2015). Two RNA recognition motif-containing proteins are plant mitochondrial editing factors. Nucleic Acids Research. 43(7). 3814–3825. 52 indexed citations
19.
Wang, Wenfeng, et al.. (2011). Protection against Autoimmune Diabetes by Silkworm-Produced GFP-Tagged CTB-Insulin Fusion Protein. SHILAP Revista de lepidopterología. 2011. 1–14. 15 indexed citations
20.
Rufer, Nathalie, Birgitta S. Breur-Vriesendorp, Jean‐Marie Tiercy, et al.. (1994). HLA-B35-subtype mismatches in ABDR serologically matched unrelated donor-recipient pairs. Human Immunology. 41(1). 96–101. 17 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Miloš Nikolić Breakdown of academic impact, for papers by Jing Zhu Breakdown of academic impact, for papers by Qingming Tang Breakdown of academic impact, for papers by Il‐Youp Kwak Breakdown of academic impact, for papers by Byung-Wook Lee Breakdown of academic impact, for papers by Avvaru N. Suhasini Breakdown of academic impact, for papers by Xuewei Qi Breakdown of academic impact, for papers by Yanfei Zou Breakdown of academic impact, for papers by Junya Nakamura Breakdown of academic impact, for papers by Xingwei Wang
Rankless by CCL
2026