Kaihu Xiao

1.3k total citations
11 papers, 499 citations indexed

About

Kaihu Xiao is a scholar working on Infectious Diseases, Neurology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Kaihu Xiao has authored 11 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 5 papers in Neurology and 2 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Kaihu Xiao's work include COVID-19 Clinical Research Studies (6 papers), Long-Term Effects of COVID-19 (5 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Kaihu Xiao is often cited by papers focused on COVID-19 Clinical Research Studies (6 papers), Long-Term Effects of COVID-19 (5 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Kaihu Xiao collaborates with scholars based in China and United States. Kaihu Xiao's co-authors include Mengqi Liu, Chunhui Lang, Bangshuo Zhang, Cailiang Gao, Fajin Lv, Xianxiang Zhang, Qingjie Yi, Zhengjun Yi, Lian Guo and Qing Xiao and has published in prestigious journals such as British Journal of Haematology, Frontiers in Pharmacology and European Radiology.

In The Last Decade

Kaihu Xiao

11 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaihu Xiao China 7 343 225 108 70 61 11 499
Xi Ma China 3 275 0.8× 132 0.6× 159 1.5× 45 0.6× 36 0.6× 7 401
Yinghao Cao China 6 202 0.6× 119 0.5× 42 0.4× 83 1.2× 45 0.7× 11 380
Kiran Pillai United Kingdom 3 373 1.1× 189 0.8× 57 0.5× 35 0.5× 19 0.3× 5 488
Shengyan Zhang China 6 375 1.1× 212 0.9× 32 0.3× 45 0.6× 27 0.4× 11 498
Muhammed Kermali United Kingdom 6 358 1.0× 170 0.8× 56 0.5× 55 0.8× 17 0.3× 9 507
Alice Le Berre France 7 389 1.1× 253 1.1× 63 0.6× 61 0.9× 17 0.3× 10 591
Muhammad Akrmah United States 3 315 0.9× 174 0.8× 33 0.3× 47 0.7× 42 0.7× 6 419
Hongwei Ren China 5 505 1.5× 256 1.1× 50 0.5× 33 0.5× 23 0.4× 14 634
Mingkai Tan China 6 533 1.6× 264 1.2× 107 1.0× 35 0.5× 26 0.4× 12 662

Countries citing papers authored by Kaihu Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Kaihu Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaihu Xiao

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

All Works

11 of 11 papers shown
1.
Zhang, Kun, Jiawei Li, Nan Zhang, et al.. (2024). Inulin alleviates atherosclerosis through improving lipid metabolism, inflammation, and gut microbiota in ApoE-knockout mice: the short-chain is more efficacious. Frontiers in Pharmacology. 15. 1445528–1445528. 4 indexed citations
2.
Wang, Yufan, Juan He, Lisha Wang, et al.. (2024). Association of domain-specific physical activity with albuminuria among prediabetes and diabetes: a large cross-sectional study. Journal of Translational Medicine. 22(1). 252–252. 2 indexed citations
3.
Li, Yingrui, Min Zhu, Yuqian Ren, et al.. (2023). Associations of starchy and non-starchy vegetables with risk of metabolic syndrome: evidence from the NHANES 1999–2018. Nutrition & Metabolism. 20(1). 36–36. 9 indexed citations
4.
Liu, Mengqi, et al.. (2021). Follow-Up Study of the Chest CT Characteristics of COVID-19 Survivors Seven Months After Recovery. Frontiers in Medicine. 8. 636298–636298. 62 indexed citations
5.
Liu, Mengqi, Fajin Lv, Yineng Zheng, & Kaihu Xiao. (2021). A prospective cohort study on radiological and physiological outcomes of recovered COVID-19 patients 6 months after discharge. Quantitative Imaging in Medicine and Surgery. 11(9). 4181–4192. 6 indexed citations
6.
Wang, Dinghui, et al.. (2021). Predicting the Key Genes Involved in Aortic Valve Calcification Through Integrated Bioinformatics Analysis. Frontiers in Genetics. 12. 650213–650213. 13 indexed citations
7.
Xiao, Kaihu, Haiyan Yang, Bin Liu, et al.. (2021). Antibodies Can Last for More Than 1 Year After SARS-CoV-2 Infection: A Follow-Up Study From Survivors of COVID-19. Frontiers in Medicine. 8. 684864–684864. 27 indexed citations
8.
Huang, Man, Fangbiao Zhan, Jianbing Wang, et al.. (2020). Epidemiological and Clinical Features of 197 Patients Infected with 2019 Novel Coronavirus in Chongqing, China: A Single Center Descriptive Study. SSRN Electronic Journal. 5 indexed citations
9.
Liu, Mengqi, et al.. (2020). COVID-19 pneumonia: CT findings of 122 patients and differentiation from influenza pneumonia. European Radiology. 30(10). 5463–5469. 81 indexed citations
10.
Liu, Mengqi, et al.. (2020). High-Resolution Computed Tomography Manifestations of 5 Pediatric Patients With 2019 Novel Coronavirus. Journal of Computer Assisted Tomography. 44(3). 311–313. 51 indexed citations
11.
Wan, Suxin, Qingjie Yi, Shibing Fan, et al.. (2020). Relationships among lymphocyte subsets, cytokines, and the pulmonary inflammation index in coronavirus (COVID‐19) infected patients. British Journal of Haematology. 189(3). 428–437. 239 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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