Di Xiao

1.9k total citations · 1 hit paper
53 papers, 1.2k citations indexed

About

Di Xiao is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Di Xiao has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 12 papers in Cancer Research and 10 papers in Oncology. Recurrent topics in Di Xiao's work include Metabolomics and Mass Spectrometry Studies (5 papers), Cancer-related molecular mechanisms research (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). Di Xiao is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (5 papers), Cancer-related molecular mechanisms research (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). Di Xiao collaborates with scholars based in China, Australia and United States. Di Xiao's co-authors include Ji‐Ye Yin, Zhaoqian Liu, Weijing Gong, Guang Yang, Chunxia Jing, Meiling Ou, Hong‐Hao Zhou, Congcong Guo, Xi Li and Yajing Han and has published in prestigious journals such as Bioinformatics, Nature Methods and Scientific Reports.

In The Last Decade

Di Xiao

47 papers receiving 1.2k citations

Hit Papers

Global Epidemiology of Dengue Outbreaks in 1990–2015: A S... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Di Xiao China 17 509 316 281 186 174 53 1.2k
Jennifer Lin United States 17 496 1.0× 167 0.5× 115 0.4× 363 2.0× 103 0.6× 43 1.6k
Yuan Yao United States 24 916 1.8× 269 0.9× 175 0.6× 112 0.6× 99 0.6× 50 1.5k
Parag P. Shah United States 27 1.0k 2.0× 297 0.9× 117 0.4× 258 1.4× 97 0.6× 62 1.8k
Xinghua Long China 22 778 1.5× 394 1.2× 260 0.9× 316 1.7× 386 2.2× 47 2.0k
Anil K. Giri India 18 1.0k 2.0× 276 0.9× 92 0.3× 357 1.9× 109 0.6× 55 1.8k
Sung Hee Park South Korea 18 570 1.1× 606 1.9× 101 0.4× 302 1.6× 95 0.5× 63 1.5k
Yun‐Ling Zheng United States 22 672 1.3× 274 0.9× 64 0.2× 403 2.2× 101 0.6× 61 1.7k
Ansgar Brüning Germany 24 793 1.6× 148 0.5× 111 0.4× 326 1.8× 102 0.6× 57 1.6k
Huabing Tan China 15 776 1.5× 381 1.2× 117 0.4× 524 2.8× 435 2.5× 30 2.1k

Countries citing papers authored by Di Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Di Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Di Xiao. A scholar is included among the top collaborators of Di Xiao 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 Di Xiao. Di Xiao 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.
Yang, Haiyan, Juan Wen, Di Xiao, et al.. (2025). Icarisid Ⅱ modulates mitochondrial dynamics for anti-HBV activity. Frontiers in Pharmacology. 16. 1544714–1544714.
2.
Huang, Chien-Jung, et al.. (2025). Pharmacologic Interventions for Endometriosis-Related Pain. Obstetrics and Gynecology. 146(2). e23–e35.
3.
Liu, Chunlei, Hani Jieun Kim, Siqu Long, et al.. (2025). Multitask benchmarking of single-cell multimodal omics integration methods. Nature Methods. 22(11). 2449–2460.
4.
Fernando, Milan, Scott D. Lee, Di Xiao, et al.. (2022). Differentiation of brain and retinal organoids from confluent cultures of pluripotent stem cells connected by nerve-like axonal projections of optic origin. Stem Cell Reports. 17(6). 1476–1492. 29 indexed citations
5.
Kim, Hani Jieun, Tai-Yun Kim, Di Xiao, & Pengyi Yang. (2021). Protocol for the processing and downstream analysis of phosphoproteomic data with PhosR. STAR Protocols. 2(2). 100585–100585. 11 indexed citations
6.
Xiao, Di, et al.. (2021). Homogeneity Structure Learning in Large-scale Panel Data with Heavy-tailed Errors. Journal of Machine Learning Research. 22(13). 1–42. 2 indexed citations
7.
Yu, Lei, Shuang Han, Hui Song, et al.. (2021). Oxocrebanine: A Novel Dual Topoisomerase inhibitor, Suppressed the Proliferation of Breast Cancer Cells MCF-7 by Inducing DNA Damage and Mitotic Arrest. Phytomedicine. 84. 153504–153504. 11 indexed citations
8.
Xiao, Di, Jun‐Yan Liu, Simin Zhang, et al.. (2021). A Two-Stage Study Identifies Two Novel Polymorphisms in PRKAG2 Affecting Metformin Response in Chinese Type 2 Diabetes Patients. Pharmacogenomics and Personalized Medicine. Volume 14. 745–755. 5 indexed citations
9.
Kim, Hani Jieun, Tai-Yun Kim, Nolan J. Hoffman, et al.. (2021). PhosR enables processing and functional analysis of phosphoproteomic data. Cell Reports. 34(8). 108771–108771. 61 indexed citations
10.
Zhao, Tiansuo, Di Xiao, Hongwei Wang, et al.. (2020). IL-37/ STAT3/ HIF-1α negative feedback signaling drives gemcitabine resistance in pancreatic cancer. Theranostics. 10(9). 4088–4100. 43 indexed citations
11.
Deng, Jun, Mei Peng, Zhiren Wang, et al.. (2018). Novel application of metformin combined with targeted drugs on anticancer treatment. Cancer Science. 110(1). 23–30. 41 indexed citations
12.
Li, Zhongyi, Xingming Zhong, Yao Wang, et al.. (2017). Research Article Association between polymorphisms in TLR4 gene targeted by microRNA-140 and cervical precancerous lesion in south Chinese women: a case control study. Genetics and Molecular Research. 16(4). 2 indexed citations
13.
Zang, Jiankun, Yinghua Liu, Di Xiao, et al.. (2017). Voluntary exercise increases adult hippocampal neurogenesis by increasing GSK-3β activity in mice. Neuroscience. 354. 122–135. 26 indexed citations
14.
Guo, Congcong, Zixing Zhou, Zihao Wen, et al.. (2017). Global Epidemiology of Dengue Outbreaks in 1990–2015: A Systematic Review and Meta-Analysis. Frontiers in Cellular and Infection Microbiology. 7. 317–317. 283 indexed citations breakdown →
15.
Ou, Minglin, Di Xiao, Congcong Guo, et al.. (2016). Association between miR-137 polymorphism and risk of schizophrenia: a meta-analysis. Genetics and Molecular Research. 15(3). 10 indexed citations
16.
Wang, Jihua, et al.. (2016). Forecasting S&P 500 Stock Index Using Statistical Learning Models. Open Journal of Statistics. 6(6). 1067–1075. 17 indexed citations
17.
Guo, Congcong, Na Zhang, Di Xiao, et al.. (2016). Association of polymorphisms in the MyD88, IRAK4 and TRAF6 genes and susceptibility to type 2 diabetes mellitus and diabetic nephropathy in a southern Han Chinese population. Molecular and Cellular Endocrinology. 429. 114–119. 36 indexed citations
18.
Gong, Weijing, Ji‐Ye Yin, Xiangping Li, et al.. (2016). Association of well-characterized lung cancer lncRNA polymorphisms with lung cancer susceptibility and platinum-based chemotherapy response. Tumor Biology. 37(6). 8349–8358. 150 indexed citations
19.
Xiao, Di, Xingguang Ye, Na Zhang, et al.. (2015). A meta-analysis of interaction between Epstein-Barr virus and HLA-DRB1*1501 on risk of multiple sclerosis. Scientific Reports. 5(1). 18083–18083. 39 indexed citations
20.
Deng, Shenglou, et al.. (2000). Iotroridoside A Novel cytotoxic glycosphingolipid from the marine sponge Iotrochota ridley. 219. 90. 1 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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