Kejia Kan

606 total citations
15 papers, 478 citations indexed

About

Kejia Kan is a scholar working on Surgery, Cancer Research and Molecular Biology. According to data from OpenAlex, Kejia Kan has authored 15 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Kejia Kan's work include Aortic Disease and Treatment Approaches (2 papers), MicroRNA in disease regulation (2 papers) and Aortic aneurysm repair treatments (2 papers). Kejia Kan is often cited by papers focused on Aortic Disease and Treatment Approaches (2 papers), MicroRNA in disease regulation (2 papers) and Aortic aneurysm repair treatments (2 papers). Kejia Kan collaborates with scholars based in Germany, China and United States. Kejia Kan's co-authors include Christopher D. Benjamin, Roy R. Lobb, Masanori Aikawa, M Ho, CF Ockenhouse, Tatsuya Tegoshi, Yoshimasa Maeno, Haozhe Qi, Xiangjiang Guo and Jiaquan Chen and has published in prestigious journals such as The Journal of Experimental Medicine, Hepatology and Scientific Reports.

In The Last Decade

Kejia Kan

14 papers receiving 472 citations

Peers

Kejia Kan
Mònica Arman United Kingdom
Kejia Kan
Citations per year, relative to Kejia Kan Kejia Kan (= 1×) peers Mònica Arman

Countries citing papers authored by Kejia Kan

Since Specialization
Citations

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

Fields of papers citing papers by Kejia Kan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kejia Kan

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

All Works

15 of 15 papers shown
1.
Lou, Bowen, et al.. (2024). A Prediction Nomogram for No-Reflow in Acute Myocardial Infarction Patients after Primary Percutaneous Coronary Intervention. Reviews in Cardiovascular Medicine. 25(5). 151–151. 2 indexed citations
2.
Qi, Haozhe, Kejia Kan, Carsten Sticht, et al.. (2023). Acrolein-inducing ferroptosis contributes to impaired peripheral neurogenesis in zebrafish. Frontiers in Neuroscience. 16. 17 indexed citations
3.
Wang, Zhaohui, Ziwei Zeng, Vytaute Starkuviene, et al.. (2022). MicroRNAs Influence the Migratory Ability of Human Umbilical Vein Endothelial Cells. Genes. 13(4). 640–640. 5 indexed citations
4.
Lou, Bowen, Haoyu Wu, Hui Liu, et al.. (2022). Association between Cystatin C and Cardiac Function in Acute Myocardial Infarction Patients: A Real-World Analysis. Disease Markers. 2022. 1–12. 5 indexed citations
5.
Zhang, Jian, Vytaute Starkuviene, Holger Erfle, et al.. (2022). High-content analysis of microRNAs involved in the phenotype regulation of vascular smooth muscle cells. Scientific Reports. 12(1). 3498–3498. 5 indexed citations
6.
Feng, Rilu, Kejia Kan, Carsten Sticht, et al.. (2022). A hierarchical regulatory network ensures stable albumin transcription under various pathophysiological conditions. Hepatology. 76(6). 1673–1689. 7 indexed citations
8.
Kan, Kejia, Yifei Mu, Marielle Bouschbacher, et al.. (2021). Biphasic Effects of Blue Light Irradiation on Human Umbilical Vein Endothelial Cells. Biomedicines. 9(7). 829–829. 7 indexed citations
9.
Kan, Kejia, et al.. (2021). Weighted Gene Co-Expression Network Analysis Reveals Key Genes and Potential Drugs in Abdominal Aortic Aneurysm. Biomedicines. 9(5). 546–546. 7 indexed citations
10.
Ye, Meng, Xiangjiang Guo, Kejia Kan, et al.. (2020). Loss of GRB2 associated binding protein 1 in arteriosclerosis obliterans promotes host autophagy. Chinese Medical Journal. 134(1). 73–80. 3 indexed citations
11.
Zhu, Lei, Kejia Kan, Bárbara Hissa, et al.. (2020). GAS2L1 Is a Potential Biomarker of Circulating Tumor Cells in Pancreatic Cancer. Cancers. 12(12). 3774–3774. 18 indexed citations
12.
Xie, Hui, Xiangjiang Guo, Lei Lyu, et al.. (2017). Value of wound blush in predicting ulcer healing in patients with critical limb ischemia after endovascular revascularization. International Journal of Surgery. 44(6).
13.
Guo, Xiangjiang, Hui Xie, Lan Zhang, et al.. (2017). Left innominate vein stenosis in an asymptomatic population: a retrospective analysis of 212 cases. European journal of medical research. 22(1). 3–3. 6 indexed citations
14.
Yang, Shuofei, Haozhe Qi, Kejia Kan, et al.. (2016). Neutrophil Extracellular Traps Promote Hypercoagulability in Patients With Sepsis. Shock. 47(2). 132–139. 80 indexed citations
15.
Ockenhouse, CF, Tatsuya Tegoshi, Yoshimasa Maeno, et al.. (1992). Human vascular endothelial cell adhesion receptors for Plasmodium falciparum-infected erythrocytes: roles for endothelial leukocyte adhesion molecule 1 and vascular cell adhesion molecule 1.. The Journal of Experimental Medicine. 176(4). 1183–1189. 314 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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