Kai Du

1.0k total citations
17 papers, 829 citations indexed

About

Kai Du is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kai Du has authored 17 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kai Du's work include Receptor Mechanisms and Signaling (5 papers), Neuropeptides and Animal Physiology (5 papers) and Cystic Fibrosis Research Advances (4 papers). Kai Du is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Neuropeptides and Animal Physiology (5 papers) and Cystic Fibrosis Research Advances (4 papers). Kai Du collaborates with scholars based in China, France and Canada. Kai Du's co-authors include Gergely L. Lukács, Michael J. Caplan, Judith Glöckner-Pagel, Marie E. Egan, Daniel B. Rubin, Scott A. Weiner, Susan Canny, Vanathy Rajendran, Pascal Nicole and Marc Laburthe and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Kai Du

16 papers receiving 810 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Du China 11 417 213 163 132 92 17 829
Oleksandr Ekshyyan United States 15 444 1.1× 67 0.3× 50 0.3× 82 0.6× 48 0.5× 25 883
Jieli Li United States 21 614 1.5× 46 0.2× 53 0.3× 64 0.5× 162 1.8× 58 1.3k
Cristina Florean Italy 15 590 1.4× 58 0.3× 43 0.3× 109 0.8× 83 0.9× 17 861
Khadijeh Jamialahmadi Iran 17 640 1.5× 45 0.2× 119 0.7× 34 0.3× 42 0.5× 61 1.2k
Vasudha Sundram United States 12 455 1.1× 60 0.3× 320 2.0× 38 0.3× 41 0.4× 13 853
Sirsendu Jana United States 16 518 1.2× 34 0.2× 114 0.7× 148 1.1× 183 2.0× 33 1.1k
Andrea Pagetta Italy 14 346 0.8× 36 0.2× 67 0.4× 47 0.4× 74 0.8× 26 832
Mrinmay Chakrabarti United States 20 605 1.5× 78 0.4× 34 0.2× 48 0.4× 25 0.3× 35 1.0k
Dileep Kumar India 22 405 1.0× 71 0.3× 61 0.4× 42 0.3× 24 0.3× 79 1.2k
Sabah Akhtar Qatar 18 572 1.4× 84 0.4× 72 0.4× 32 0.2× 26 0.3× 21 1.1k

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

17 of 17 papers shown
1.
Luo, Aiyun, Wenxin Zheng, Qiong Zhang, et al.. (2025). COPS5 Triggers Ferroptosis Defense by Stabilizing MK2 in Hepatocellular Carcinoma. Advanced Science. 12(22). e2416360–e2416360. 5 indexed citations
2.
Shang, Yongfeng, Kai Du, Aiyun Luo, et al.. (2025). Splicing factor PTBP1 promotes hepatocarcinogenesis via oncogenic splice-switching of MAPT. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 33(5). 1121–1133.
3.
Ip, Wan, Claire Bartlett, Julie Avolio, et al.. (2023). Validating organoid-derived human intestinal monolayers for personalized therapy in cystic fibrosis. Life Science Alliance. 6(6). e202201857–e202201857. 8 indexed citations
4.
Zhang, Dan, Sanyuan Tang, Peng Xie, et al.. (2022). Creation of fragrant sorghum by CRISPR/Cas9. Journal of Integrative Plant Biology. 64(5). 961–964. 33 indexed citations
5.
Sun, Jing, et al.. (2022). Sprouty 4 suppresses glioblastoma invasion by inhibiting ERK phosphorylation and ETS-1-induced matrix metalloproteinase-9. Journal of Neurosurgical Sciences. 67(1). 121–128. 6 indexed citations
6.
Ruan, Lina, Kai Du, Chunyan Shan, et al.. (2019). Phosphodiesterase-2 Inhibitor Bay 60-7550 Ameliorates Aβ-Induced Cognitive and Memory Impairment via Regulation of the HPA Axis. Frontiers in Cellular Neuroscience. 13. 432–432. 22 indexed citations
7.
Bozóky, Zoltán, Saumel Ahmadi, Tae Hun Kim, et al.. (2017). Synergy of cAMP and calcium signaling pathways in CFTR regulation. Proceedings of the National Academy of Sciences. 114(11). E2086–E2095. 47 indexed citations
8.
Bao, Hongkun, Lijuan Sun, Ying Zhu, et al.. (2016). Lentinan produces a robust antidepressant-like effect via enhancing the prefrontal Dectin-1/AMPA receptor signaling pathway. Behavioural Brain Research. 317. 263–271. 27 indexed citations
9.
Bai, Li, Yangyang Hou, Ming Zhu, et al.. (2015). 3’-Deoxyadenosine (Cordycepin) Produces a Rapid and Robust Antidepressant Effect via Enhancing Prefrontal AMPA Receptor Signaling Pathway. The International Journal of Neuropsychopharmacology. 19(4). pyv112–pyv112. 25 indexed citations
10.
Pasyk, Stan, Steven V. Molinski, Saumel Ahmadi, et al.. (2014). The major cystic fibrosis causing mutation exhibits defective propensity for phosphorylation. PROTEOMICS. 15(2-3). 447–461. 19 indexed citations
11.
Barrière, Hervé, Csilla Nemes, Kai Du, & Gergely L. Lukács. (2007). Plasticity of Polyubiquitin Recognition as Lysosomal Targeting Signals by the Endosomal Sorting Machinery. Molecular Biology of the Cell. 18(10). 3952–3965. 76 indexed citations
12.
Egan, Marie E., Scott A. Weiner, Vanathy Rajendran, et al.. (2004). Curcumin, a Major Constituent of Turmeric, Corrects Cystic Fibrosis Defects. Science. 304(5670). 600–602. 469 indexed citations
13.
Du, Kai, Alain Couvineau, Christiane Rouyer‐Fessard, Pascal Nicole, & Marc Laburthe. (2002). Human VPAC1 Receptor Selectivity Filter. Journal of Biological Chemistry. 277(40). 37016–37022. 10 indexed citations
14.
Du, Kai, Pascal Nicole, Alain Couvineau, & Marc Laburthe. (1998). Construction of Chimeras between Human VIP1 and Secretin Receptors: Identification of Receptor Domains Involved in Selectivity towards VIP, Secretin, and PACAP. Annals of the New York Academy of Sciences. 865(1). 386–389. 6 indexed citations
15.
Nicole, Pascal, Kai Du, Alain Couvineau, & Marc Laburthe. (1998). Site‐Directed Mutagenesis of Human VIP1 versus VIP2 Receptors. Annals of the New York Academy of Sciences. 865(1). 378–381. 2 indexed citations
16.
Nicole, Pascal, Kai Du, Alain Couvineau, & Marc Laburthe. (1998). Site-Directed Mutagenesis of Human Vasoactive Intestinal Peptide Receptor Subtypes VIP1 and VIP2: Evidence for Difference in the Structure-Function Relationship. Journal of Pharmacology and Experimental Therapeutics. 284(2). 744–750. 34 indexed citations
17.
Du, Kai, Pascal Nicole, Alain Couvineau, & Marc Laburthe. (1997). Aspartate 196 in the First Extracellular Loop of the Human VIP1 Receptor Is Essential for VIP Binding and VIP-Stimulated cAMP Production. Biochemical and Biophysical Research Communications. 230(2). 289–292. 40 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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