Xiaowen Kang

400 total citations
10 papers, 304 citations indexed

About

Xiaowen Kang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Xiaowen Kang has authored 10 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 2 papers in Surgery. Recurrent topics in Xiaowen Kang's work include Heme Oxygenase-1 and Carbon Monoxide (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and Paraquat toxicity studies and treatments (2 papers). Xiaowen Kang is often cited by papers focused on Heme Oxygenase-1 and Carbon Monoxide (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and Paraquat toxicity studies and treatments (2 papers). Xiaowen Kang collaborates with scholars based in China. Xiaowen Kang's co-authors include Zhaoguo Li, Fanwu Kong, Xinyan Wang, Xiaomei Wu, Xiaomei Wu, Shijie Wu, Wei Zhang, Yeping Ren, Wei Zhang and Xiaomei Wu and has published in prestigious journals such as Cellular Physiology and Biochemistry, OncoTargets and Therapy and BMC Pulmonary Medicine.

In The Last Decade

Xiaowen Kang

10 papers receiving 300 citations

Peers

Xiaowen Kang

MB

PRM

CR

SURGE

GENET

David H. McMillan United States

Yi Xue China

Minghao Guo China

Kouhei Tsuchida Japan

Ruochen Qi China

Shuoyi Ma China

Nicole F. Ruopp United States

Kate Simpson United Kingdom

Jung Hye Choi South Korea

David H. McMillan United States

Xiaowen Kang

149 ×1.0

MB

66 ×0.6

PRM

74 ×0.8

CR

15 ×0.3

SURGE

10 ×0.2

GENET

Citations per year, relative to Xiaowen Kang Xiaowen Kang (= 1×) peers David H. McMillan

Countries citing papers authored by Xiaowen Kang

Since Specialization

Citations

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

Fields of papers citing papers by Xiaowen Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaowen Kang

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

All Works

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10 of 10 papers shown

1.

Lin, Wei, Guo‐Jian Liu, Xiaowen Kang, et al.. (2021). Ellagic acid inhibits high glucose‑induced injury in rat mesangial cells via the PI3K/Akt/FOXO3a signaling pathway. Experimental and Therapeutic Medicine. 22(3). 1017–1017. 15 indexed citations

2.

Liu, Guo‐Jian, Xiaowen Kang, Ping Guo, et al.. (2020). miR-25-3p promotes proliferation and inhibits autophagy of renal cells in polycystic kidney mice by regulating ATG14-Beclin 1. Renal Failure. 42(1). 333–342. 19 indexed citations

3.

Kang, Xiaowen, Fanwu Kong, Kun Huang, et al.. (2019). <p>LncRNA MIR210HG promotes proliferation and invasion of non-small cell lung cancer by upregulating methylation of CACNA2D2 promoter via binding to DNMT1</p>. OncoTargets and Therapy. Volume 12. 3779–3790. 57 indexed citations

4.

Kang, Xiaowen, et al.. (2017). [Value of base excess in predicting the prognosis of patients with paraquat poisoning].. PubMed. 35(1). 25–29. 1 indexed citations

5.

Hong, Guangliang, et al.. (2016). Prognosis and survival analysis of paraquat poisoned patients based on improved HPLC-UV method. Journal of Pharmacological and Toxicological Methods. 80. 75–81. 21 indexed citations

6.

Kang, Xiaowen, et al.. (2015). High Glucose Promotes Tumor Invasion and Increases Metastasis-Associated Protein Expression in Human Lung Epithelial Cells by Upregulating Heme Oxygenase-1 via Reactive Oxygen Species or the TGF-β1/PI3K/Akt Signaling Pathway. Cellular Physiology and Biochemistry. 35(3). 1008–1022. 63 indexed citations

7.

Wang, Xinyan, Li Wan, Xiaowen Kang, et al.. (2014). Genetic variants in ADAM33 are associated with airway inflammation and lung function in COPD. BMC Pulmonary Medicine. 14(1). 173–173. 11 indexed citations

8.

Kang, Xiaowen, Xinyan Wang, Shijie Wu, et al.. (2014). Conversion of bone marrow mesenchymal stem cells into type II alveolar epithelial cells reduces pulmonary fibrosis by decreasing oxidative stress in rats. Molecular Medicine Reports. 11(3). 1685–1692. 69 indexed citations

9.

Huang, Kun, et al.. (2012). [The effect of marrow mesenchymal stem cell transplantation on pulmonary fibrosis in rats].. PubMed. 35(9). 659–64. 6 indexed citations

10.

Wang, Xinyan, et al.. (2009). Association of ADAM33 gene polymorphisms with COPD in a northeastern Chinese population. BMC Medical Genetics. 10(1). 132–132. 42 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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