Kun Du

1.9k total citations · 1 hit paper
53 papers, 1.4k citations indexed

About

Kun Du is a scholar working on Physiology, Molecular Biology and Cancer Research. According to data from OpenAlex, Kun Du has authored 53 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Physiology, 18 papers in Molecular Biology and 14 papers in Cancer Research. Recurrent topics in Kun Du's work include Asthma and respiratory diseases (13 papers), Sinusitis and nasal conditions (11 papers) and Allergic Rhinitis and Sensitization (10 papers). Kun Du is often cited by papers focused on Asthma and respiratory diseases (13 papers), Sinusitis and nasal conditions (11 papers) and Allergic Rhinitis and Sensitization (10 papers). Kun Du collaborates with scholars based in China, United States and Japan. Kun Du's co-authors include Riki Kurokawa, S Arai, Christopher K. Glass, Paul Tempst, Michael G. Rosenfeld, Xiaoyuan Song, Donna Reichart, Gabriel Pascual, Xiangting Wang and Xiangdong Wang and has published in prestigious journals such as Nature, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Kun Du

49 papers receiving 1.4k citations

Hit Papers

Induced ncRNAs allosterically modify RNA-binding proteins... 2008 2026 2014 2020 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Du China 17 936 617 191 150 138 53 1.4k
Nina Cimerman Slovenia 18 431 0.5× 514 0.8× 97 0.5× 23 0.2× 85 0.6× 21 1.2k
Xiaoqing Sun China 18 1.1k 1.2× 363 0.6× 69 0.4× 31 0.2× 22 0.2× 48 1.6k
Martin Schlumpberger Germany 10 1.1k 1.2× 466 0.8× 81 0.4× 53 0.4× 22 0.2× 12 1.6k
Maximilian Plank Australia 15 535 0.6× 528 0.9× 231 1.2× 16 0.1× 58 0.4× 27 1.3k
Said Hashemolhosseini Germany 21 1.1k 1.1× 126 0.2× 70 0.4× 73 0.5× 24 0.2× 49 1.5k
Jiali Zhang China 17 318 0.3× 168 0.3× 42 0.2× 36 0.2× 10 0.1× 69 921
Shuaiyao Lu China 18 788 0.8× 249 0.4× 17 0.1× 141 0.9× 8 0.1× 60 1.6k
P. Nagesh Rao United States 13 799 0.9× 506 0.8× 26 0.1× 12 0.1× 21 0.2× 19 1.4k
Nathan Wong United States 12 1.7k 1.8× 1.3k 2.2× 36 0.2× 17 0.1× 12 0.1× 18 2.2k

Countries citing papers authored by Kun Du

Since Specialization
Citations

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

Fields of papers citing papers by Kun Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Du

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Du. A scholar is included among the top collaborators of Kun 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 Kun Du. Kun 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.
Wu, Ju, Kun Du, Ying Bao, et al.. (2025). Docetaxel-loaded pH/ROS dual-responsive nanoparticles for the targeted treatment of gastric cancer. Cancer Nanotechnology. 16(1). 2 indexed citations
2.
Sheng, Long, Huan Wang, Li Hu, et al.. (2025). Advancements and future directions in chronic rhinosinusitis: understanding inflammatory mechanisms (2000–2023). European Archives of Oto-Rhino-Laryngology. 282(6). 2899–2909. 1 indexed citations
4.
Liu, Yuxin, Qihao Sun, Kun Du, et al.. (2024). External pressure induces the dysfunction of spermatogonia via triggering the intrinsic pathway of apoptosis. Translational Andrology and Urology. 13(8). 1405–1415.
5.
Du, Kun, Min Zhang, Shuang Yao, et al.. (2023). The IL‐31/CysLT2R axis is associated with itching in patients with allergic rhinitis. International Forum of Allergy & Rhinology. 14(6). 1070–1078. 2 indexed citations
6.
Shao, Shan, Yue Wang, Yan Zhao, et al.. (2022). Identification of multiple isoforms of glucocorticoid receptor in nasal polyps of patients with chronic rhinosinusitis. Journal of Otolaryngology - Head and Neck Surgery. 51(1). 25–25. 2 indexed citations
7.
Wang, Xiangdong, Yan Zhao, Nan Zhang, et al.. (2022). Endotypes of chronic rhinosinusitis based on inflammatory and remodeling factors. Journal of Allergy and Clinical Immunology. 151(2). 458–468. 60 indexed citations
8.
Shi, Yu, Lipeng Tang, Bai Xue, et al.. (2022). Heat Stress Altered the Vaginal Microbiome and Metabolome in Rabbits. Frontiers in Microbiology. 13. 813622–813622. 14 indexed citations
9.
Yang, Jianru, et al.. (2021). Circular RNA CHST15 Sponges miR-155-5p and miR-194-5p to Promote the Immune Escape of Lung Cancer Cells Mediated by PD-L1. Frontiers in Oncology. 11. 595609–595609. 45 indexed citations
10.
Yang, Jianru, et al.. (2020). Circular RNA TUBA1C accelerates the progression of non-small-cell lung cancer by sponging miR-143-3p. Cellular Signalling. 74. 109693–109693. 14 indexed citations
11.
Wang, Guoze, Kun Du, Renyong Tang, et al.. (2020). <p>Screening and Identification of Differentially Expressed and Adipose Growth-Related Protein-Coding Genes During the Deposition of Perirenal Adipose Tissue in Rabbits</p>. Diabetes Metabolic Syndrome and Obesity. Volume 13. 4669–4680. 4 indexed citations
12.
Lai, Songjia, Kun Du, Yu Shi, et al.. (2020). <p>Long Non-Coding RNAs in Brown Adipose Tissue</p>. Diabetes Metabolic Syndrome and Obesity. Volume 13. 3193–3204. 8 indexed citations
13.
Wang, Guoze, Shenqiang Hu, Kun Du, et al.. (2020). Screening and identification of MicroRNAs expressed in perirenal adipose tissue during rabbit growth. Lipids in Health and Disease. 19(1). 35–35. 10 indexed citations
14.
Du, Kun, Guoze Wang, Xianbo Jia, et al.. (2019). Genome-wide identification and characterization of long non-coding RNAs during differentiation of visceral preadipocytes in rabbit. Functional & Integrative Genomics. 20(3). 409–419. 2 indexed citations
15.
Hu, Shenqiang, Yu Shi, Kun Du, et al.. (2019). Integrated Analysis of mRNA and miRNA Expression Profiles in the Ovary of Oryctolagus cuniculus in Response to Gonadotrophic Stimulation. Frontiers in Endocrinology. 10. 744–744. 10 indexed citations
16.
Du, Kun, Xianbo Jia, Rui Yang, et al.. (2019). Genetic diversity and population structure of four Chinese rabbit breeds. PLoS ONE. 14(9). e0222503–e0222503. 19 indexed citations
17.
Wang, Guoze, Kun Du, Shenqiang Hu, et al.. (2018). Genome-wide identification and characterization of long non-coding RNAs during postnatal development of rabbit adipose tissue. Lipids in Health and Disease. 17(1). 271–271. 18 indexed citations
19.
Mei, Bing, et al.. (2010). Discrepant effects of Chlamydia trachomatis infection on MICA expression of HeLa and U373 cells. Infection Genetics and Evolution. 10(6). 740–745. 3 indexed citations
20.
Mei, Bing, et al.. (2009). Association of MICA gene polymorphisms with Chlamydia trachomatis infection and related tubal pathology in infertile women. Human Reproduction. 24(12). 3090–3095. 17 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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