Xiaowei Wu

1.0k total citations · 1 hit paper
17 papers, 563 citations indexed

About

Xiaowei Wu is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Xiaowei Wu has authored 17 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 5 papers in Cardiology and Cardiovascular Medicine and 5 papers in Epidemiology. Recurrent topics in Xiaowei Wu's work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (5 papers) and Cardiovascular Disease and Adiposity (2 papers). Xiaowei Wu is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (5 papers) and Cardiovascular Disease and Adiposity (2 papers). Xiaowei Wu collaborates with scholars based in China and United States. Xiaowei Wu's co-authors include Jianguo Wu, Junxian Ou, Wendong Lan, Qiwei Zhang, James Chodosh, Wei Zhao, Shan Zhao, Jing Zhang, Donald Seto and Yuqian Yan and has published in prestigious journals such as PLoS ONE, Journal of Virology and Scientific Reports.

In The Last Decade

Xiaowei Wu

16 papers receiving 556 citations

Hit Papers

align trajectories

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.

Tracking SARS-CoV-2 Omicron diverse spike gene mutations identifies multiple inter-variant recombination events

2022 137 citations Junxian Ou, Wendong Lan 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						Papers	Cites
Xiaowei Wu China	10	333	142	70	67	47	17	563
Jianyong Zhu China	9	406 1.2×	137 1.0×	22 0.3×	69 1.0×	89 1.9×	15	703
Foad Alzoughool Jordan	10	206 0.6×	134 0.9×	45 0.6×	43 0.6×	62 1.3×	26	537
William Powley United Kingdom	8	363 1.1×	83 0.6×	104 1.5×	46 0.7×	117 2.5×	10	601
Xiaoting Lu China	13	234 0.7×	105 0.7×	52 0.7×	47 0.7×	48 1.0×	34	698
Nadia Soudani Lebanon	13	174 0.5×	114 0.8×	38 0.5×	134 2.0×	39 0.8×	24	464
Carlee Moser United States	16	402 1.2×	83 0.6×	216 3.1×	138 2.1×	18 0.4×	50	1.0k
Stephany Beyerstedt Brazil	4	332 1.0×	107 0.8×	34 0.5×	47 0.7×	162 3.4×	11	593
Jianping Sun China	13	104 0.3×	96 0.7×	93 1.3×	114 1.7×	35 0.7×	45	497
Yihao Liu China	15	216 0.6×	143 1.0×	18 0.3×	82 1.2×	45 1.0×	50	788

Countries citing papers authored by Xiaowei Wu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaowei Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaowei Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaowei Wu. A scholar is included among the top collaborators of Xiaowei 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 Xiaowei Wu. Xiaowei Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Sun, Bo, et al.. (2024). Association Between Different Types of Physical Activity and Hepatic Steatosis and Liver Fibrosis. Journal of Clinical Gastroenterology. 59(2). 168–176. 2 indexed citations

Ou, Junxian, Wendong Lan, Xiaowei Wu, et al.. (2022). Tracking SARS-CoV-2 Omicron diverse spike gene mutations identifies multiple inter-variant recombination events. Signal Transduction and Targeted Therapy. 7(1). 138–138. 137 indexed citations breakdown →

Ou, Junxian, Zhonghua Zhou, Ruixue Dai, et al.. (2021). V367F Mutation in SARS-CoV-2 Spike RBD Emerging during the Early Transmission Phase Enhances Viral Infectivity through Increased Human ACE2 Receptor Binding Affinity. Journal of Virology. 95(16). e0061721–e0061721. 75 indexed citations

Huang, Yongsheng, Jing Yu, Dan Li, et al.. (2021). Durable tracking anti-SARS-CoV-2 antibodies in cancer patients recovered from COVID-19. Scientific Reports. 11(1). 17381–17381.

Lan, Wendong, Jing Zhang, Shan Zhao, et al.. (2020). COVID-19: Antiviral Agents, Antibody Development and Traditional Chinese Medicine. Virologica Sinica. 35(6). 685–698. 24 indexed citations

Yan, Yuqian, Junxian Ou, Shan Zhao, et al.. (2020). Characterization of Influenza A and B Viruses Circulating in Southern China During the 2017–2018 Season. Frontiers in Microbiology. 11. 1079–1079. 15 indexed citations

Huang, Yongsheng, Dan Li, Lin Wang, et al.. (2020). A cohort study of 676 patients indicates D-dimer is a critical risk factor for the mortality of COVID-19. PLoS ONE. 15(11). e0242045–e0242045. 31 indexed citations

Zhao, Jing, Shan Zhao, Junxian Ou, et al.. (2020). COVID-19: Coronavirus Vaccine Development Updates. Frontiers in Immunology. 11. 602256–602256. 131 indexed citations

Xu, Sui-yi, et al.. (2020). Frequency and Pathophysiology of Post-Seizure Todd’s Paralysis. Medical Science Monitor. 26. e920751–e920751. 8 indexed citations

10.

Li, Gang, Tao Yao, Xiaowei Wu, et al.. (2019). Novel and traditional anthropometric indices for identifying arterial stiffness in overweight and obese adults. Clinical Nutrition. 39(3). 893–900. 43 indexed citations

11.

Xu, Sui-yi, et al.. (2019). Ischemic stroke in the combined territories of the septum pellucidum and the cingulate gyrus. Medicine. 98(23). e15879–e15879. 2 indexed citations

12.

Li, Gang, Xiaowei Wu, Zhe Cao, et al.. (2018). The feasibility of two anthropometric indices to identify metabolic syndrome, insulin resistance and inflammatory factors in obese and overweight adults. Nutrition. 57. 194–201. 40 indexed citations

13.

Li, Gang�, Zhe Cao, Xiaowei Wu, et al.. (2017). Autoantibodies against AT1 and α1-adrenergic receptors predict arterial stiffness progression in normotensive subjects over a 5-year period. Clinical Science. 131(24). 2947–2957. 7 indexed citations

14.

Li, Gang, Xiaowei Wu, Weihua Lü, et al.. (2016). High-sensitivity cardiac troponin T: A biomarker for the early risk stratification of type-A acute aortic dissection?. Archives of cardiovascular diseases. 109(3). 163–170. 25 indexed citations

15.

Wu, Xiaowei, et al.. (2015). [Treating irritable bowel syndrome by wuling capsule combined pinaverium bromide: a clinical research].. PubMed. 35(4). 415–8. 2 indexed citations

16.

Li, Gang, et al.. (2015). Admission hypoxia-inducible factor 1α levels and in-hospital mortality in patients with acute decompensated heart failure. BMC Cardiovascular Disorders. 15(1). 79–79. 12 indexed citations

17.

Li, Gang�, et al.. (2014). Effect of atorvastatin on the expression of gamma-glutamyl transferase in aortic atherosclerotic plaques of apolipoprotein E–knockout mice. BMC Cardiovascular Disorders. 14(1). 145–145. 9 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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