Xiaobin Wu

1.6k total citations · 1 hit paper
31 papers, 1.1k citations indexed

About

Xiaobin Wu is a scholar working on Molecular Biology, Cancer Research and Artificial Intelligence. According to data from OpenAlex, Xiaobin Wu has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Artificial Intelligence. Recurrent topics in Xiaobin Wu's work include Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (5 papers) and Single-cell and spatial transcriptomics (4 papers). Xiaobin Wu is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (5 papers) and Single-cell and spatial transcriptomics (4 papers). Xiaobin Wu collaborates with scholars based in China, United States and Canada. Xiaobin Wu's co-authors include Honglei Chen, Yi Niu, Yuan Wang, Guohui Wan, Heng Liang, Bo Wei, Xiao‐Feng Xiong, Xi Li, Lei Sun and Ziyou Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Food Chemistry.

In The Last Decade

Xiaobin Wu

29 papers receiving 1.1k citations

Hit Papers

RNA N6-methyladenosine demethylase FTO promotes breast tu... 2019 2026 2021 2023 2019 100 200 300 400
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. RNA N6-methyladenosine demethylase FTO promotes breast tumor progression through inhibiting BNIP3
    2019 455 citations Yi Niu, Ziyou Lin et al. Molecular Cancer profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaobin Wu China 15 806 392 95 83 50 31 1.1k
Da Wei China 16 512 0.6× 338 0.9× 20 0.2× 70 0.8× 41 0.8× 52 795
Qiang Tang China 20 814 1.0× 359 0.9× 46 0.5× 99 1.2× 73 1.5× 82 1.3k
Yida Zhang China 17 553 0.7× 108 0.3× 39 0.4× 155 1.9× 70 1.4× 46 951
Qiang Ma China 18 627 0.8× 319 0.8× 36 0.4× 106 1.3× 103 2.1× 73 1.5k
Yufang Yin United States 14 391 0.5× 205 0.5× 54 0.6× 81 1.0× 43 0.9× 40 907
Anwesha Chatterjee United States 12 445 0.6× 141 0.4× 23 0.2× 68 0.8× 19 0.4× 29 682
Mohammad Ranjbar United States 13 388 0.5× 167 0.4× 176 1.9× 57 0.7× 9 0.2× 51 730
Zhao Da China 12 264 0.3× 90 0.2× 51 0.5× 32 0.4× 19 0.4× 25 764

Countries citing papers authored by Xiaobin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobin Wu. A scholar is included among the top collaborators of Xiaobin Wu 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 Xiaobin Wu. Xiaobin Wu 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.
Wu, Xiaobin, et al.. (2024). NgAP2a Targets KCS Gene to Promote Lipid Accumulation in Nannochloropsis gaditana. International Journal of Molecular Sciences. 25(19). 10305–10305. 4 indexed citations
2.
Wu, Xiaobin, et al.. (2024). Accurate and Flexible Single Cell to Spatial Transcriptome Mapping with Celloc. SHILAP Revista de lepidopterología. 4(10). 2400139–2400139. 2 indexed citations
3.
Zou, Peng, et al.. (2024). Identification of fatty acid oxidation-related subtypes by integrated analysis of bulk- and single-cell transcriptome profiling in colorectal cancer. Journal of Gastrointestinal Oncology. 15(1). 147–163. 3 indexed citations
4.
Wang, Xiaoqi, Xiaobin Wu, Pei Zhang, et al.. (2023). Single-cell transcriptome profiling reveals enriched memory T-cell subpopulations in hypertension. Frontiers in Cell and Developmental Biology. 11. 1132040–1132040. 7 indexed citations
5.
Wu, Xiaobin & Yuan Zhou. (2022). GE-Impute: graph embedding-based imputation for single-cell RNA-seq data. Briefings in Bioinformatics. 23(5). 24 indexed citations
6.
Wu, Xiaobin, et al.. (2022). Deciphering Cell-Type-Specific Gene Expression Signatures of Cardiac Diseases Through Reconstruction of Bulk Transcriptomes. Frontiers in Cell and Developmental Biology. 10. 792774–792774. 5 indexed citations
7.
Li, Zhiyong, Ying Xie, Leqing Zhu, et al.. (2021). c-Myc-activated intronic miR-210 and lncRNA MIR210HG synergistically promote the metastasis of gastric cancer. Cancer Letters. 526. 322–334. 33 indexed citations
8.
Liu, Li, et al.. (2021). Identification of the potential novel biomarkers as susceptibility gene for Wilms tumor. BMC Cancer. 21(1). 316–316. 6 indexed citations
9.
Cui, Chunmei, Xiaobin Wu, & Yuan Zhou. (2021). GlyinsRNA: a webserver for predicting glycosylation sites on small RNAs. RNA Biology. 18(sup2). 600–603. 5 indexed citations
10.
Wu, Xiaohua, et al.. (2019). <p>Prognostic Significance of FKBP14 in Gastric Cancer</p>. OncoTargets and Therapy. Volume 12. 11567–11577. 5 indexed citations
11.
Niu, Yi, Ziyou Lin, Arabella Wan, et al.. (2019). RNA N6-methyladenosine demethylase FTO promotes breast tumor progression through inhibiting BNIP3. Molecular Cancer. 18(1). 46–46. 455 indexed citations breakdown →
12.
Wu, Xiaobin, et al.. (2019). Computational screening of potential regulators for mRNA-protein expression level discrepancy. Biochemical and Biophysical Research Communications. 523(1). 196–201. 17 indexed citations
13.
Wen, Chuangyu, Huihui Wang, Xiaobin Wu, et al.. (2019). ROS-mediated inactivation of the PI3K/AKT pathway is involved in the antigastric cancer effects of thioredoxin reductase-1 inhibitor chaetocin. Cell Death and Disease. 10(11). 809–809. 90 indexed citations
14.
Zhou, Qian, Xiaobin Wu, Chuangyu Wen, et al.. (2018). Toosendanin induces caspase-dependent apoptosis through the p38 MAPK pathway in human gastric cancer cells. Biochemical and Biophysical Research Communications. 505(1). 261–266. 37 indexed citations
15.
16.
Chen, Honglei, Kaitao Yuan, Xinyou Wang, et al.. (2018). Overexpression of RECQL4 is associated with poor prognosis in patients with gastric cancer. Oncology Letters. 16(4). 5419–5425. 15 indexed citations
17.
Liu, Ming, Feifei Huang, Dan Zhang, et al.. (2015). Heterochromatin Protein HP1γ Promotes Colorectal Cancer Progression and Is Regulated by miR-30a. Cancer Research. 75(21). 4593–4604. 86 indexed citations
18.
Zhang, Ji, Xiaobin Wu, Wei Cai, et al.. (2013). MCPH1 Protein Expression in Normal and Neoplastic Lung Tissues. Asian Pacific Journal of Cancer Prevention. 14(12). 7295–7300. 8 indexed citations
19.
20.
Liu, Li, Qi Chen, Xiaobin Wu, et al.. (2010). Elevated expression of mature miR-21 and miR-155 in cancerous gastric tissues from Chinese patients with gastric cancer. Journal of Biomedical Research. 24(3). 187–197. 23 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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