Xiao Hu

804 total citations · 1 hit paper
33 papers, 478 citations indexed

About

Xiao Hu is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiao Hu has authored 33 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Cancer Research and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiao Hu's work include Ferroptosis and cancer prognosis (8 papers), Cancer-related molecular mechanisms research (7 papers) and Spinal Cord Injury Research (6 papers). Xiao Hu is often cited by papers focused on Ferroptosis and cancer prognosis (8 papers), Cancer-related molecular mechanisms research (7 papers) and Spinal Cord Injury Research (6 papers). Xiao Hu collaborates with scholars based in China, United States and Brazil. Xiao Hu's co-authors include Lin Sun, Zhourui Wu, Yujie Feng, Wei Xu, Bingyuan Zhang, Dezhao Lu, Dandan Luo, Yilong Ren, Ji Zhu and Rongrong Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Xiao Hu

30 papers receiving 477 citations

Hit Papers

Temporal and spatial cellular and molecular pathological ... 2022 2026 2023 2024 2022 40 80 120
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. Temporal and spatial cellular and molecular pathological alterations with single-cell resolution in the adult spinal cord after injury
    2022 148 citations Chen Li, Zhourui Wu et al. Signal Transduction and Targeted Therapy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao Hu China 12 237 147 135 70 65 33 478
Hongfei Li China 11 155 0.7× 96 0.7× 101 0.7× 54 0.8× 59 0.9× 27 459
Shiqing Feng China 14 158 0.7× 198 1.3× 75 0.6× 40 0.6× 25 0.4× 24 475
Renyi Kong China 10 310 1.3× 62 0.4× 242 1.8× 38 0.5× 68 1.0× 11 494
Yilin Pang China 10 243 1.0× 130 0.9× 161 1.2× 197 2.8× 35 0.5× 22 479
Dawei Ge China 15 497 2.1× 123 0.8× 427 3.2× 46 0.7× 29 0.4× 24 772
Jian Hao China 9 390 1.6× 126 0.9× 233 1.7× 230 3.3× 29 0.4× 11 575
Giovanni Zelano Italy 15 230 1.0× 62 0.4× 54 0.4× 89 1.3× 27 0.4× 34 658
Xiyang Yao China 10 345 1.5× 64 0.4× 129 1.0× 43 0.6× 63 1.0× 13 525

Countries citing papers authored by Xiao Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Hu. A scholar is included among the top collaborators of Xiao Hu 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 Xiao Hu. Xiao Hu 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.
2.
Sun, Lin, et al.. (2024). Establishment of a Prognostic Model for Pancreatic Cancer Based on Hypoxia-Related Genes. Technology in Cancer Research & Treatment. 23. 2234030575–2234030575. 3 indexed citations
3.
4.
Li, Xueliang, Zhaowei Sun, Xiaoxiao Li, et al.. (2023). Biomarkers for predicting the prognosis of intrahepatic cholangiocarcinoma: A retrospective single-center study. Medicine. 102(13). e33314–e33314. 3 indexed citations
5.
Hu, Xiao, et al.. (2023). Effects of anoxic prognostic model on immune microenvironment in pancreatic cancer. Scientific Reports. 13(1). 9104–9104. 7 indexed citations
6.
Li, Chen, Zhourui Wu, Liqiang Zhou, et al.. (2022). Temporal and spatial cellular and molecular pathological alterations with single-cell resolution in the adult spinal cord after injury. Signal Transduction and Targeted Therapy. 7(1). 65–65. 148 indexed citations breakdown →
7.
Zhang, Hao, et al.. (2021). An lncRNA Model for Predicting the Prognosis of Hepatocellular Carcinoma Patients and ceRNA Mechanism. Frontiers in Molecular Biosciences. 8. 749313–749313. 2 indexed citations
8.
Zhang, Hao, et al.. (2021). Comprehensive Analysis of Gene Expression Changes and Validation in Hepatocellular Carcinoma. OncoTargets and Therapy. Volume 14. 1021–1031. 19 indexed citations
9.
Cheng, Liming, Dongsheng Xu, Jian Fan, et al.. (2021). Effects of cortical intermittent theta burst stimulation combined with precise root stimulation on motor function after spinal cord injury: a case series study. Neural Regeneration Research. 17(8). 1821–1821. 11 indexed citations
10.
Sun, Lin, et al.. (2021). Mast Cells Resting-Related Prognostic Signature in Hepatocellular Carcinoma. Journal of Oncology. 2021. 1–9. 13 indexed citations
11.
Sun, Zhaowei, Yujie Feng, Hao Liu, et al.. (2020). Analysis of treatment methods and prognostic factors in 354 cases of hilar cholangiocarcinoma. Journal of Cancer Research and Therapeutics. 16(2). 230–237. 12 indexed citations
12.
Sun, Peng, et al.. (2020). <p>circPCNX and Pecanex Promote Hepatocellular Carcinoma Cell Viability by Inhibiting miR-506</p>. Cancer Management and Research. Volume 11. 10957–10967. 10 indexed citations
13.
Hu, Xiao, et al.. (2020). A Selective P2Y Purinergic Receptor Agonist 2-MesADP Enhances Locomotor Recovery after Acute Spinal Cord Injury. European Neurology. 83(2). 195–212. 4 indexed citations
14.
Liu, Shihai, Xue Wang, Bing Han, et al.. (2018). Anticancer effect of fufang yiliu yin on human hepatocellular carcinoma SMMC-7721 cells.. PubMed. 10(2). 491–500. 2 indexed citations
15.
Hu, Xiao, Hanxiang Zhan, Hao Zou, et al.. (2017). MicroRNA-195 Suppresses the Progression of Pancreatic Cancer by Targeting DCLK1. Cellular Physiology and Biochemistry. 44(5). 1867–1881. 56 indexed citations
16.
Hu, Xiao, et al.. (2017). Roles of microRNA-330 and Its Target Gene ING4 in the Development of Aggressive Phenotype in Hepatocellular Carcinoma Cells. Digestive Diseases and Sciences. 62(3). 715–722. 17 indexed citations
17.
Xu, Yingling, Ji Zhu, Xiao Hu, et al.. (2016). CLIC1 Inhibition Attenuates Vascular Inflammation, Oxidative Stress, and Endothelial Injury. PLoS ONE. 11(11). e0166790–e0166790. 30 indexed citations
18.
Wu, Zhourui, Yan Yu, Xiao Hu, et al.. (2014). New strategies for the repair of spinal cord injury. Chinese Science Bulletin. 59(31). 4041–4049. 2 indexed citations
19.
Jin, Lingjing, Zhourui Wu, Wei Xu, et al.. (2014). Identifying gene expression profile of spinal cord injury in rat by bioinformatics strategy. Molecular Biology Reports. 41(5). 3169–3177. 20 indexed citations
20.
Chen, Lei, Xiaoyan Cui, Zhourui Wu, et al.. (2014). Transplantation of bone marrow mesenchymal stem cells pretreated with valproic acid in rats with an acute spinal cord injury. BioScience Trends. 8(2). 111–119. 19 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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