Chao Xu

6.5k total citations · 3 hit papers
177 papers, 4.0k citations indexed

About

Chao Xu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Chao Xu has authored 177 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 26 papers in Cancer Research and 23 papers in Oncology. Recurrent topics in Chao Xu's work include Bioinformatics and Genomic Networks (15 papers), COVID-19 Clinical Research Studies (13 papers) and Genetic Associations and Epidemiology (11 papers). Chao Xu is often cited by papers focused on Bioinformatics and Genomic Networks (15 papers), COVID-19 Clinical Research Studies (13 papers) and Genetic Associations and Epidemiology (11 papers). Chao Xu collaborates with scholars based in United States, China and United Kingdom. Chao Xu's co-authors include Xiaosheng Lu, Bo Pan, Pengfei Sun, Qingqiang Yao, Chunyu Zhang, Xueyun Gao, Hong‐Wen Deng, Ye Zhu, Xiang Gu and Hui Shen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Chao Xu

167 papers receiving 3.9k citations

Hit Papers

Understanding of COVID‐19... 2020 2026 2022 2024 2020 2022 2024 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao Xu United States 27 1.3k 692 575 451 343 177 4.0k
Hong Ma China 27 960 0.8× 589 0.9× 284 0.5× 427 0.9× 181 0.5× 160 2.6k
Dawei Ye China 34 1.0k 0.8× 449 0.6× 748 1.3× 195 0.4× 137 0.4× 72 3.8k
Li Lin China 36 1.7k 1.3× 1.5k 2.2× 1.0k 1.8× 393 0.9× 197 0.6× 113 5.0k
Wei‐Yann Tsai United States 34 1.3k 1.0× 940 1.4× 524 0.9× 329 0.7× 475 1.4× 103 5.9k
Fuling Zhou China 34 1.6k 1.3× 731 1.1× 183 0.3× 459 1.0× 147 0.4× 205 3.6k
Rong Xu United States 43 2.3k 1.8× 761 1.1× 898 1.6× 236 0.5× 146 0.4× 234 6.8k
Xue Li China 38 1.5k 1.2× 717 1.0× 251 0.4× 604 1.3× 137 0.4× 209 5.4k
Sohita Dhillon New Zealand 49 2.1k 1.7× 1.5k 2.1× 231 0.4× 486 1.1× 413 1.2× 156 6.5k
Saurabh Kumar Jha India 38 2.7k 2.2× 477 0.7× 172 0.3× 548 1.2× 577 1.7× 214 7.0k
Saurabh Aggarwal United States 36 1.4k 1.1× 410 0.6× 230 0.4× 299 0.7× 234 0.7× 152 4.2k

Countries citing papers authored by Chao Xu

Since Specialization
Citations

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

Fields of papers citing papers by Chao Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Xu. A scholar is included among the top collaborators of Chao Xu 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 Chao Xu. Chao Xu 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.
Janitz, Amanda E., et al.. (2025). Indirect Effects of the COVID-19 Pandemic on Well-Child Visits in Low-Income Children in Oklahoma. Journal of Public Health Management and Practice. 31(5). 737–745.
2.
Hwang, Jooyeon, Jenny Gipson, Chao Xu, et al.. (2025). Effects of residual PAH exposure from firefighters’ skin and turnout gear on biospecimen microRNA expression. Environmental Research. 285(Pt 1). 122348–122348.
3.
Zhou, Zhijun, Qun Chen, Jingxuan Yang, et al.. (2025). Evaluation of Ferroptosis as a Biomarker to Predict Treatment Outcomes of Cancer Immunotherapy. Cancer Research Communications. 5(8). 1288–1297.
4.
Liu, Mingyang, Yu Ren, Zhijun Zhou, et al.. (2024). The crosstalk between macrophages and cancer cells potentiates pancreatic cancer cachexia. Cancer Cell. 42(5). 885–903.e4. 60 indexed citations breakdown →
5.
Mamidi, Murali K., Sutapa Sinha, H. Mahmud, et al.. (2024). Aberrantly Expressed Mitochondrial Lipid Kinase, AGK, Activates JAK2–Histone H3 Axis and BCR Signal: A Mechanistic Study with Implication in CLL Therapy. Clinical Cancer Research. 31(3). 588–602. 1 indexed citations
8.
Zhang, Lin, et al.. (2023). The Clinical Value of Comprehensive Nursing Intervention in Preventing Severe Lymphopenia and Improving the Survival Rate Among Patients with Sepsis. Open Access Emergency Medicine. Volume 15. 393–403. 1 indexed citations
9.
Janitz, Amanda E., Erin L. Marcotte, Dana Boyd Barr, et al.. (2023). Exposure to persistent organic pollutants in newborn dried blood spots and childhood acute myeloid leukemia. Environmental Research. 244. 117954–117954. 1 indexed citations
11.
Xu, Xiaohui, et al.. (2023). miR-18a and miR-106a Signatures in Plasma Small EVs Are Promising Biomarkers for Early Detection of Pancreatic Ductal Adenocarcinoma. International Journal of Molecular Sciences. 24(8). 7215–7215. 13 indexed citations
12.
Janitz, Amanda E., Jeremy M. Schraw, Chao Xu, & Philip J. Lupo. (2022). Comprehensively evaluating cancer survival in children with birth defects: a population-based assessment. Cancer Causes & Control. 33(3). 483–488. 1 indexed citations
13.
Zhou, Zhijun, Yu Ren, Jingxuan Yang, et al.. (2022). Acetyl-Coenzyme A Synthetase 2 Potentiates Macropinocytosis and Muscle Wasting Through Metabolic Reprogramming in Pancreatic Cancer. Gastroenterology. 163(5). 1281–1293.e1. 30 indexed citations
14.
Chen, Wei‐Jen, Candace Robledo, Jean R. Goodman, et al.. (2022). Assessing urinary phenol and paraben mixtures in pregnant women with and without gestational diabetes mellitus: A case-control study. Environmental Research. 214(Pt 2). 113897–113897. 20 indexed citations
15.
Georgescu, Constantin, et al.. (2021). Seed-mediated RNA interference of androgen signaling and survival networks induces cell death in prostate cancer cells. Molecular Therapy — Nucleic Acids. 24. 337–351. 7 indexed citations
16.
Jiang, Yuanyuan, Hanxiang Zhan, Yuqing Zhang, et al.. (2021). ZIP4 promotes non-small cell lung cancer metastasis by activating snail-N-cadherin signaling axis. Cancer Letters. 521. 71–81. 19 indexed citations
17.
Delgado, Silvia, Mitzi Williams, Morten Bagger, et al.. (2021). Comparable Ofatumumab Treatment Outcomes in Patients across Racial/Ethnic Groups in the ASCLEPIOS I/II and APOLITOS studies (4139). Neurology. 96(15_supplement). 2 indexed citations
18.
Hu, Peng, Chao Xu, Rongzhi Liu, et al.. (2020). Comparison and application of different immunoassay methods for the detection of SARS‐CoV‐2. Journal of Medical Virology. 92(11). 2777–2784. 18 indexed citations
19.
Xu, Chao, Jing Wang, Jun Liang, et al.. (2019). Intravenously Infusing the Secretome of Adipose-Derived Mesenchymal Stem Cells Ameliorates Neuroinflammation and Neurological Functioning After Traumatic Brain Injury. Stem Cells and Development. 29(4). 222–234. 46 indexed citations
20.
Chen, Yuancheng, Chao Xu, Jigang Zhang, et al.. (2018). Multivariate analysis of genomics data to identify potential pleiotropic genes for type 2 diabetes, obesity and dyslipidemia using Meta-CCA and gene-based approach. PLoS ONE. 13(8). e0201173–e0201173. 10 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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