Xiao Zhao

3.4k total citations · 1 hit paper
53 papers, 2.7k citations indexed

About

Xiao Zhao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Xiao Zhao has authored 53 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 8 papers in Immunology. Recurrent topics in Xiao Zhao's work include Axon Guidance and Neuronal Signaling (6 papers), Muscle Physiology and Disorders (4 papers) and Pancreatic and Hepatic Oncology Research (4 papers). Xiao Zhao is often cited by papers focused on Axon Guidance and Neuronal Signaling (6 papers), Muscle Physiology and Disorders (4 papers) and Pancreatic and Hepatic Oncology Research (4 papers). Xiao Zhao collaborates with scholars based in China, United States and Japan. Xiao Zhao's co-authors include Guangjun Nie, Kenneth W. Yip, Fei‐Fei Liu, He Ren, Peter P. Liu, Jennifer Kwan, Jihui Hao, Tianjiao Ji, Yinlong Zhang and Yaosheng Chen and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and ACS Nano.

In The Last Decade

Xiao Zhao

50 papers receiving 2.6k citations

Hit Papers

Targeting metabolic dysregulation for fibrosis therapy 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao Zhao China 21 1.3k 587 533 471 446 53 2.7k
Jinlong Yin South Korea 25 1.2k 0.9× 517 0.9× 411 0.8× 271 0.6× 350 0.8× 53 2.0k
Munitta Muthana United Kingdom 24 1.5k 1.2× 563 1.0× 479 0.9× 1.2k 2.5× 272 0.6× 65 3.7k
Katsuto Tamai Japan 32 1.7k 1.3× 250 0.4× 248 0.5× 462 1.0× 333 0.7× 129 3.6k
Cian M. McCrudden United Kingdom 32 1.4k 1.1× 235 0.4× 279 0.5× 506 1.1× 217 0.5× 52 3.1k
Michael W. Heartlein United States 25 2.8k 2.2× 263 0.4× 208 0.4× 205 0.4× 259 0.6× 37 3.3k
Frank Czubayko Germany 34 2.9k 2.3× 611 1.0× 385 0.7× 493 1.0× 474 1.1× 53 4.1k
Praveen Kumar Dubey India 26 950 0.7× 279 0.5× 177 0.3× 287 0.6× 305 0.7× 81 2.3k
Walker Wharton United States 27 1.9k 1.5× 311 0.5× 250 0.5× 921 2.0× 257 0.6× 74 3.5k
Kenji Yokoi United States 29 1.5k 1.2× 456 0.8× 624 1.2× 730 1.5× 342 0.8× 90 2.8k
Lei Wei China 21 785 0.6× 313 0.5× 328 0.6× 274 0.6× 93 0.2× 67 2.0k

Countries citing papers authored by Xiao Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Zhao. A scholar is included among the top collaborators of Xiao Zhao 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 Zhao. Xiao Zhao 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
2.
Zhao, Xiao, et al.. (2025). Antifungal effects of Metformin against Candida albicans by autophagy regulation. The Journal of Microbiology. 63(4). e2411008–e2411008. 2 indexed citations
3.
Learned, Kim O., Jennifer Wang, Xiao Zhao, et al.. (2024). [18F]-FDG Uptake as a Marker of Residual Anaplastic and Poorly Differentiated Thyroid Carcinoma followingBRAF-Targeted Therapy. American Journal of Neuroradiology. 46(6). 1260–1267.
4.
Lesluyes, Tom, Toby M. Baker, Maxime Tarabichi, et al.. (2024). Reconstructing oral cavity tumor evolution through brush biopsy. Scientific Reports. 14(1). 22591–22591.
5.
Wang, Jennifer, Xu Li, Maitrayee Goswami, et al.. (2022). Impact of Somatic Mutations on Survival Outcomes in Patients With Anaplastic Thyroid Carcinoma. JCO Precision Oncology. 6(6). e2100504–e2100504. 45 indexed citations
6.
Zhao, Xiao, Jennifer Kwan, Kenneth W. Yip, Peter P. Liu, & Fei‐Fei Liu. (2019). Targeting metabolic dysregulation for fibrosis therapy. Nature Reviews Drug Discovery. 19(1). 57–75. 348 indexed citations breakdown →
7.
Zhao, Xiao, Laleh Soltan Ghoraie, Kenneth W. Yip, et al.. (2018). Metabolic regulation of dermal fibroblasts contributes to skin extracellular matrix homeostasis and fibrosis. Nature Metabolism. 1(1). 147–157. 162 indexed citations
8.
Inoue, Minoru, Masahiro Enomoto, Yuhki Koike, et al.. (2018). Plasma redox imbalance caused by albumin oxidation promotes lung-predominant NETosis and pulmonary cancer metastasis. Nature Communications. 9(1). 5116–5116. 81 indexed citations
9.
Ding, Yanping, Gang Liu, Yang Xiao, et al.. (2016). Cancer Cell-derived Exosomes Induce Mitogen-activated Protein Kinase-dependent Monocyte Survival by Transport of Functional Receptor Tyrosine Kinases. Journal of Biological Chemistry. 291(16). 8453–8464. 86 indexed citations
10.
Gao, Chuntao, Shasha Li, Tiansuo Zhao, et al.. (2015). SCF, Regulated by HIF-1α, Promotes Pancreatic Ductal Adenocarcinoma Cell Progression. PLoS ONE. 10(3). e0121338–e0121338. 29 indexed citations
11.
Li, Xiaotong, Yu Qi, Xiao Zhao, et al.. (2015). BmRobo2/3 is required for axon guidance in the silkworm Bombyx mori. Gene. 577(2). 174–179. 6 indexed citations
12.
Zhao, Xiao, Zhaoyang Liu, & Qingxin Liu. (2015). Gene coexpression networks reveal key drivers of phenotypic divergence in porcine muscle. BMC Genomics. 16(1). 50–50. 13 indexed citations
13.
Zhao, Xiao, Feng Li, Yiye Li, et al.. (2015). Co-delivery of HIF1α siRNA and gemcitabine via biocompatible lipid-polymer hybrid nanoparticles for effective treatment of pancreatic cancer. Biomaterials. 46. 13–25. 205 indexed citations
14.
Zhao, Xiao, Song Gao, He Ren, et al.. (2014). Hypoxia-Inducible Factor-1 Promotes Pancreatic Ductal Adenocarcinoma Invasion and Metastasis by Activating Transcription of the Actin-Bundling Protein Fascin. Cancer Research. 74(9). 2455–2464. 140 indexed citations
15.
Huang, Ling, Xiao Zhao, Yu Qi, Cui Weizheng, & Qingxin Liu. (2014). Evidence for the coevolution of axon guidance molecule Netrin and its receptor Frazzled. Gene. 544(1). 25–31. 3 indexed citations
16.
Chen, Weiquan, Yaosheng Chen, Limei Qin, et al.. (2011). Transcription Factor Sp1 Is Essential for the Regulation of the Porcine Caveolin-1 Gene. DNA and Cell Biology. 30(7). 491–497. 5 indexed citations
17.
Zhao, Xiao, Delin Mo, Anning Li, et al.. (2011). Characterization and Transcriptional Regulation Analysis of the Porcine PAQR6 Gene. DNA and Cell Biology. 30(11). 947–954. 6 indexed citations
18.
Li, Anning, Yaosheng Chen, Xiao Zhao, et al.. (2010). Characterization and transcriptional regulation analysis of the porcine TNFAIP8L2 gene. Molecular Genetics and Genomics. 284(3). 185–195. 18 indexed citations
19.
Xiao, Shuqi, Delin Mo, Qiwei Wang, et al.. (2010). Aberrant host immune response induced by highly virulent PRRSV identified by digital gene expression tag profiling. BMC Genomics. 11(1). 544–544. 78 indexed citations
20.
Zhang, Zhisheng, Delin Mo, Peiqing Cong, et al.. (2009). Molecular cloning, expression patterns and subcellular localization of porcine TMCO1 gene. Molecular Biology Reports. 37(3). 1611–1618. 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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