Beibei Xin

1.6k total citations · 1 hit paper
26 papers, 868 citations indexed

About

Beibei Xin is a scholar working on Molecular Biology, Oncology and Plant Science. According to data from OpenAlex, Beibei Xin has authored 26 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Oncology and 5 papers in Plant Science. Recurrent topics in Beibei Xin's work include RNA and protein synthesis mechanisms (4 papers), Genomics and Chromatin Dynamics (4 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Beibei Xin is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), Genomics and Chromatin Dynamics (4 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Beibei Xin collaborates with scholars based in China, United States and Australia. Beibei Xin's co-authors include Remo Rohs, Xiaohong Shen, Steven Henikoff, Ti Zhang, Sivakanthan Kasinathan, Gabriel E. Zentner, Jun Cai, Xiaodan He, Juan Wang and Wyeth W. Wasserman and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Beibei Xin

23 papers receiving 863 citations

Hit Papers

A complete telomere-to-telomere assembly of the maize genome 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beibei Xin China 13 621 184 155 104 85 26 868
Cheng-Fu Kao Taiwan 16 1.1k 1.7× 115 0.6× 120 0.8× 105 1.0× 48 0.6× 28 1.2k
Shouguo Gao United States 16 444 0.7× 134 0.7× 66 0.4× 143 1.4× 155 1.8× 50 821
Chia‐Wei Chang United States 14 1.1k 1.7× 96 0.5× 155 1.0× 153 1.5× 97 1.1× 32 1.3k
Yuwei Liu China 14 374 0.6× 133 0.7× 109 0.7× 186 1.8× 39 0.5× 46 747
Trent Su United States 19 835 1.3× 81 0.4× 108 0.7× 188 1.8× 118 1.4× 28 1.3k
Shu Tao China 19 456 0.7× 147 0.8× 121 0.8× 163 1.6× 38 0.4× 49 793
Anderly C. Chüeh Australia 14 816 1.3× 439 2.4× 116 0.7× 96 0.9× 73 0.9× 28 1.1k
Zhiyong Deng China 14 410 0.7× 139 0.8× 67 0.4× 136 1.3× 113 1.3× 27 699
Hongmei Jiang China 15 701 1.1× 412 2.2× 348 2.2× 179 1.7× 172 2.0× 44 1.3k

Countries citing papers authored by Beibei Xin

Since Specialization
Citations

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

Fields of papers citing papers by Beibei Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beibei Xin

This figure shows the co-authorship network connecting the top 25 collaborators of Beibei Xin. A scholar is included among the top collaborators of Beibei Xin 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 Beibei Xin. Beibei Xin 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.
Miao, Ling-Feng, Weilong Guo, Beibei Xin, et al.. (2025). Near-complete assembly and comprehensive annotation of the wheat Chinese Spring genome. Molecular Plant. 18(5). 892–907. 4 indexed citations
2.
Ding, Hui, et al.. (2025). A Predictive Model Using Six Genes DNA Methylation Markers to Identify Individuals With High Risks of High-Grade Squamous Intraepithelial Lesions and Cervical Cancer. International Journal of Women s Health. Volume 17. 739–749. 1 indexed citations
3.
Xu, Qiao, Li Yang, Beibei Xin, et al.. (2025). An international prognostic index to predict the early chemoimmunotherapy failure of diffuse large B-cell lymphoma. Annals of Hematology. 104(9). 4759–4769.
4.
Tan, Lijie, Xiao Xiao, Beibei Xin, et al.. (2024). Detection of the DNA methylation of seven genes contribute to the early diagnosis of lung cancer. Journal of Cancer Research and Clinical Oncology. 150(2). 77–77. 8 indexed citations
5.
Wang, Xin, Beibei Xin, Maozu Guo, Guoxian Yu, & Jun Wang. (2024). GWASTool: A web pipeline for detecting SNP-phenotype associations. Fundamental Research. 4(4). 761–769. 1 indexed citations
6.
Chen, Jian, Wei Huang, Junpeng Shi, et al.. (2023). A complete telomere-to-telomere assembly of the maize genome. Nature Genetics. 55(7). 1221–1231. 162 indexed citations breakdown →
7.
Li, Wendong, Ting Sun, Muyang Li, et al.. (2022). GNIFdb: a neoantigen intrinsic feature database for glioma. Database. 2022. 12 indexed citations
8.
Gao, Xiang, Junpeng Shi, Pei Liang, et al.. (2021). HITAC-seq enables high-throughput cost-effective sequencing of plasmids and DNA fragments with identity. Journal of genetics and genomics. 48(8). 671–680. 5 indexed citations
9.
Wang, Xin, Jun Wang, Guoxian Yu, Beibei Xin, & Maozu Guo. (2021). Maize Epistasis Detection by Multi-class Quantitative Multifactor Dimensionality Reduction. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 17. 314–319. 1 indexed citations
10.
Xin, Beibei, et al.. (2019). Infinite Stars. Poems / Translated From the Chinese and Introductory Article by N. Chernysh. The World of the Orient. 2019(3).
11.
Chiu, Tsu-Pei, et al.. (2019). TFBSshape: an expanded motif database for DNA shape features of transcription factor binding sites. Nucleic Acids Research. 48(D1). D246–D255. 30 indexed citations
12.
Xin, Beibei & Remo Rohs. (2018). Relationship between histone modifications and transcription factor binding is protein family specific. Genome Research. 28(3). 321–333. 41 indexed citations
13.
Hou, Li, Lijing Wang, Zenghui Li, et al.. (2017). PD98059 impairs the cisplatin-resistance of ovarian cancer cells by suppressing ERK pathway and epithelial mesenchymal transition process. Cancer Biomarkers. 21(1). 187–194. 10 indexed citations
14.
Cai, Jun, Hui Wang, Beibei Xin, et al.. (2017). Tenascin-C induces migration and invasion through JNK/c-Jun signalling in pancreatic cancer. Oncotarget. 8(43). 74406–74422. 43 indexed citations
15.
Mathelier, Anthony, et al.. (2016). DNA Shape Features Improve Transcription Factor Binding Site Predictions In Vivo. Cell Systems. 3(3). 278–286.e4. 91 indexed citations
16.
He, Xiaodan, Juan Wang, Wei Wei, et al.. (2016). Hypoxia regulates ABCG2activity through the activivation of ERK1/2/HIF-1α and contributes to chemoresistance in pancreatic cancer cells. Cancer Biology & Therapy. 17(2). 188–198. 88 indexed citations
17.
Wang, Juan, Beibei Xin, Hui Wang, et al.. (2016). Gastrin regulates ABCG2 to promote the migration, invasion and side populations in pancreatic cancer cells via activation of NF-κB signaling. Experimental Cell Research. 346(1). 74–84. 13 indexed citations
18.
Schwörer, Simon, F Becker, Christian Feller, et al.. (2016). Epigenetic stress responses induce muscle stem-cell ageing by Hoxa9 developmental signals. Nature. 540(7633). 428–432. 92 indexed citations
19.
Xin, Beibei, Xiaodan He, Juan Wang, et al.. (2016). Nerve growth factor regulates CD133 function to promote tumor cell migration and invasion via activating ERK1/2 signaling in pancreatic cancer. Pancreatology. 16(6). 1005–1014. 40 indexed citations
20.
Zentner, Gabriel E., Sivakanthan Kasinathan, Beibei Xin, Remo Rohs, & Steven Henikoff. (2015). ChEC-seq kinetics discriminates transcription factor binding sites by DNA sequence and shape in vivo. Nature Communications. 6(1). 8733–8733. 127 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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