Kai Du

2.7k total citations
23 papers, 2.0k citations indexed

About

Kai Du is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Plant Science. According to data from OpenAlex, Kai Du has authored 23 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pulmonary and Respiratory Medicine, 7 papers in Molecular Biology and 5 papers in Plant Science. Recurrent topics in Kai Du's work include Cystic Fibrosis Research Advances (15 papers), Neonatal Respiratory Health Research (11 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Kai Du is often cited by papers focused on Cystic Fibrosis Research Advances (15 papers), Neonatal Respiratory Health Research (11 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Kai Du collaborates with scholars based in Canada, United States and China. Kai Du's co-authors include Gergely L. Lukács, Manu Sharma, Tsukasa Okiyoneda, Wael M. Rabeh, Miklós Bagdány, Hervé Barrière, Jason C. Young, Jörg Höhfeld, Mohamed Benharouga and Noa Zerangue and has published in prestigious journals such as Science, Cell and Journal of Biological Chemistry.

In The Last Decade

Kai Du

22 papers receiving 2.0k citations

Peers

Kai Du
Liying Cui United States
Andrei A. Aleksandrov United States
Kathryn W. Peters United States
Xiu-Bao Chang United States
Yue-xian Hou United States
X.B. Chang Canada
Ricardo Bastos United Kingdom
Kai Du
Citations per year, relative to Kai Du Kai Du (= 1×) peers Tsukasa Okiyoneda

Countries citing papers authored by Kai Du

Since Specialization
Citations

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

Fields of papers citing papers by Kai Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Du

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Du. A scholar is included among the top collaborators of Kai Du 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 Kai Du. Kai Du 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.
Du, Kai, et al.. (2025). Low-Complexity Control for Uncertain Time-Varying SbW Systems With Input Nonlinearity and Dual-Channel Event-Triggering Communication. IEEE Transactions on Intelligent Transportation Systems. 26(6). 8992–9003.
2.
Du, Kai, et al.. (2022). Early growth response 1 promoted the invasion of glioblastoma multiforme by elevating HMGB1. Journal of Neurosurgical Sciences. 67(4). 422–430. 7 indexed citations
3.
Duan, Wenming, Cindy Lin, Hong Ouyang, et al.. (2021). Inflammatory epithelial cytokines afterin vitrorespiratory syncytial viral infection are associated with reduced lung function. ERJ Open Research. 7(3). 365–2021. 8 indexed citations
4.
Ahmadi, Saumel, Mingyuan Li, Wan Ip, et al.. (2019). Augmentation of Cystic Fibrosis Transmembrane Conductance Regulator Function in Human Bronchial Epithelial Cells via SLC6A14-Dependent Amino Acid Uptake. Implications for Treatment of Cystic Fibrosis. American Journal of Respiratory Cell and Molecular Biology. 61(6). 755–764. 9 indexed citations
5.
Ahmadi, Saumel, Sunny Xia, Michelle Di Paola, et al.. (2018). SLC6A14, an amino acid transporter, modifies the primary CF defect in fluid secretion. eLife. 7. 26 indexed citations
6.
Sun, Jing, et al.. (2018). TRAF6 correlated to invasion and poor prognosis of glioblastoma via elevating MMP9 expression. Neuroreport. 30(2). 127–133. 18 indexed citations
7.
Cao, Huibi, Hong Ouyang, Hartmut Grasemann, et al.. (2018). Transducing Airway Basal Cells with a Helper-Dependent Adenoviral Vector for Lung Gene Therapy. Human Gene Therapy. 29(6). 643–652. 52 indexed citations
8.
Cao, Huibi, Hong Ouyang, Wan Ip, et al.. (2015). Testing gene therapy vectors in human primary nasal epithelial cultures. Molecular Therapy — Methods & Clinical Development. 2. 15034–15034. 15 indexed citations
9.
Du, Kai, Philip H. Karp, Cameron Ackerley, et al.. (2014). Aggregates of mutant CFTR fragments in airway epithelial cells of CF lungs: New pathologic observations. Journal of Cystic Fibrosis. 14(2). 182–193. 14 indexed citations
10.
Eckford, Paul D. W., Mohabir Ramjeesingh, Steven V. Molinski, et al.. (2014). VX-809 and Related Corrector Compounds Exhibit Secondary Activity Stabilizing Active F508del-CFTR after Its Partial Rescue to the Cell Surface. Chemistry & Biology. 21(5). 666–678. 78 indexed citations
11.
Cao, Huibi, Tiago Machuca, Jonathan Yeung, et al.. (2013). Efficient Gene Delivery to Pig Airway Epithelia and Submucosal Glands Using Helper-Dependent Adenoviral Vectors. Molecular Therapy — Nucleic Acids. 2. e127–e127. 34 indexed citations
12.
Rabeh, Wael M., Florian Bossard, Haijin Xu, et al.. (2012). Correction of Both NBD1 Energetics and Domain Interface Is Required to Restore ΔF508 CFTR Folding and Function. Cell. 148(1-2). 150–163. 231 indexed citations
13.
Okiyoneda, Tsukasa, Hervé Barrière, Miklós Bagdány, et al.. (2010). Peripheral Protein Quality Control Removes Unfolded CFTR from the Plasma Membrane. Science. 329(5993). 805–810. 339 indexed citations
14.
Thibodeau, Patrick H., John M. Richardson, Wei Wang, et al.. (2010). The Cystic Fibrosis-causing Mutation ΔF508 Affects Multiple Steps in Cystic Fibrosis Transmembrane Conductance Regulator Biogenesis. Journal of Biological Chemistry. 285(46). 35825–35835. 143 indexed citations
15.
Du, Kai & Gergely L. Lukács. (2009). Cooperative Assembly and Misfolding of CFTR Domains In Vivo. Molecular Biology of the Cell. 20(7). 1903–1915. 124 indexed citations
16.
Cordat, Emmanuelle, Saranya Kittanakom, Pa‐thai Yenchitsomanus, et al.. (2005). Dominant and Recessive Distal Renal Tubular Acidosis Mutations of Kidney Anion Exchanger 1 Induce Distinct Trafficking Defects in MDCK Cells. Traffic. 7(2). 117–128. 77 indexed citations
17.
Partridge, Anthony W., et al.. (2004). Destabilization of the Transmembrane Domain Induces Misfolding in a Phenotypic Mutant of Cystic Fibrosis Transmembrane Conductance Regulator. Journal of Biological Chemistry. 280(6). 4968–4974. 21 indexed citations
18.
Du, Kai, Manu Sharma, & Gergely L. Lukács. (2004). The ΔF508 cystic fibrosis mutation impairs domain-domain interactions and arrests post-translational folding of CFTR. Nature Structural & Molecular Biology. 12(1). 17–25. 294 indexed citations
19.
Benharouga, Mohamed, Manu Sharma, Martin Haardt, et al.. (2003). The Role of the C Terminus and Na+/H+ Exchanger Regulatory Factor in the Functional Expression of Cystic Fibrosis Transmembrane Conductance Regulator in Nonpolarized Cells and Epithelia. Journal of Biological Chemistry. 278(24). 22079–22089. 60 indexed citations
20.
Yang, Hong, Anang A. Shelat, R. Kiplin Guy, et al.. (2003). Nanomolar Affinity Small Molecule Correctors of Defective ΔF508-CFTR Chloride Channel Gating. Journal of Biological Chemistry. 278(37). 35079–35085. 172 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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