Kun Qian

9.3k total citations
270 papers, 7.0k citations indexed

About

Kun Qian is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Kun Qian has authored 270 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Molecular Biology, 67 papers in Spectroscopy and 59 papers in Biomedical Engineering. Recurrent topics in Kun Qian's work include Mass Spectrometry Techniques and Applications (57 papers), Metabolomics and Mass Spectrometry Studies (41 papers) and Advanced Proteomics Techniques and Applications (41 papers). Kun Qian is often cited by papers focused on Mass Spectrometry Techniques and Applications (57 papers), Metabolomics and Mass Spectrometry Studies (41 papers) and Advanced Proteomics Techniques and Applications (41 papers). Kun Qian collaborates with scholars based in China, United States and Australia. Kun Qian's co-authors include Lin Huang, Chengzhong Yu, Haiyang Su, Baohong Liu, Wei Xu, Jingjing Wan, Jian Liu, Xiaodan Huang, Jing Yang and Vadanasundari Vedarethinam and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Advanced Materials.

In The Last Decade

Kun Qian

237 papers receiving 6.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kun Qian China	48	2.8k	2.0k	1.7k	1.4k	1.3k	270	7.0k
Hui Zhang China	44	3.3k 1.2×	1.9k 0.9×	1.3k 0.7×	2.3k 1.7×	1.3k 1.0×	242	8.2k
Wei Shen China	40	3.0k 1.1×	2.0k 1.0×	4.8k 2.8×	559 0.4×	1.4k 1.1×	188	9.9k
Baohong Liu China	59	4.7k 1.7×	3.7k 1.8×	2.7k 1.6×	1.4k 1.0×	4.2k 3.2×	316	11.7k
Hongxia Chen China	40	2.7k 1.0×	1.4k 0.7×	1.9k 1.1×	479 0.3×	1.2k 1.0×	343	6.4k
Yu‐Fen Huang Taiwan	42	3.1k 1.1×	2.8k 1.4×	1.8k 1.1×	574 0.4×	670 0.5×	150	6.5k
Di Wu China	52	3.4k 1.2×	1.8k 0.9×	4.0k 2.4×	617 0.4×	1.4k 1.1×	296	9.4k
Yun Gao China	41	1.8k 0.6×	844 0.4×	2.6k 1.5×	608 0.4×	2.1k 1.6×	367	9.6k
Jingjing Zhang China	46	5.2k 1.8×	3.1k 1.5×	2.0k 1.1×	372 0.3×	2.0k 1.6×	284	8.8k
Yunqing Wang China	46	3.1k 1.1×	2.8k 1.4×	2.7k 1.6×	778 0.6×	729 0.6×	166	7.9k
Yi‐Ting Chen Taiwan	43	2.4k 0.9×	1.1k 0.5×	1.3k 0.7×	561 0.4×	1.0k 0.8×	356	7.8k

Countries citing papers authored by Kun Qian

Since Specialization

Citations

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

Fields of papers citing papers by Kun Qian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Qian

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Yihan, Tong Li, Jiao Wu, et al.. (2025). Metabolic Fingerprint of Dual Body Fluids Deciphers Diabetic Retinopathy. Small. 21(10). e2412195–e2412195. 2 indexed citations

Liu, Zhanjian, Linfeng Zhu, Meiling Li, et al.. (2025). Designing Robust Superhydrophobic/Superoleophilic Composite Coatings for Anticorrosion/Scaling by Utilizing 8‐Hydroxyquinoline Microcapsules. Advanced Engineering Materials. 27(9). 3 indexed citations

Meng, Fanyu, et al.. (2024). Integrating zirconia-gold hybrid into aptasensor capable of ultrasensitive and robust carcinoembryonic antigen determination. Electrochimica Acta. 507. 145063–145063. 3 indexed citations

Yu, Wenjun, Mengfei Wang, Fanyu Meng, et al.. (2024). Plasmonic array assisted mass spectrometry for preferential metabolite detection. Chemical Engineering Journal. 486. 150224–150224. 10 indexed citations

Cao, Jing, Jiao Wu, Xiaonan Chen, et al.. (2024). Deciphering the metabolic heterogeneity of hematopoietic stem cells with single-cell resolution. Cell Metabolism. 36(1). 209–221.e6. 37 indexed citations

Zhang, Juxiang, Fei Teng, Beiyuan Hu, et al.. (2024). Early Diagnosis and Prognosis Prediction of Pancreatic Cancer Using Engineered Hybrid Core‐Shells in Laser Desorption/Ionization Mass Spectrometry. Advanced Materials. 36(18). e2311431–e2311431. 20 indexed citations

Chen, Derek, Kun Qian, & Yu Zhou. (2023). Stabilized In-Context Learning with Pre-trained Language Models for Few Shot Dialogue State Tracking. 1551–1564. 5 indexed citations

Hou, Mengfei, Haiyang Su, Qinghe Wu, et al.. (2023). A Self‐Enhancing Nanoreactor Reinforces Radioimmunotherapy by Reprogramming Nutrients and Redox Metabolisms. Advanced Functional Materials. 33(16). 36 indexed citations

Wu, Jiao, Chunmei Liang, Yida Huang, et al.. (2023). Efficient Metabolic Fingerprinting of Follicular Fluid Encodes Ovarian Reserve and Fertility. Advanced Science. 10(23). e2302023–e2302023. 21 indexed citations

10.

Xing, Fei, et al.. (2023). Interfacial Reaction Model of High-Al Steel in Continuous Casting Mold. Metallurgical and Materials Transactions B. 54(3). 1546–1554. 8 indexed citations

11.

Yin, Xia, Jing Yang, M. Zhang, et al.. (2022). Serum Metabolic Fingerprints on Bowl-Shaped Submicroreactor Chip for Chemotherapy Monitoring. ACS Nano. 16(2). 2852–2865. 62 indexed citations

12.

Yang, Yi, et al.. (2022). Comparison of next-generation sequencing with traditional methods for pathogen detection in cases of lower respiratory tract infection at a community hospital in Eastern China. Medicine. 101(51). e32423–e32423. 6 indexed citations

13.

Liu, Wei, R.Z. Wang, Vadanasundari Vedarethinam, Lin Huang, & Kun Qian. (2022). Advanced materials for precise detection and antibiotic-free inhibition of bacteria. Materials Today Advances. 13. 100204–100204. 27 indexed citations

14.

Su, Haiyang, Xinxing Li, Lin Huang, et al.. (2021). Plasmonic Alloys Reveal a Distinct Metabolic Phenotype of Early Gastric Cancer. Advanced Materials. 33(17). e2007978–e2007978. 130 indexed citations

15.

Qian, Kun, et al.. (2021). Investigation on Interfacial Reaction between Nickel Superalloy K417G and Oxide Crucibles. Acta Metallurgica Sinica. 0–0. 1 indexed citations

16.

Huang, Lin, Lin Wang, Xiaomeng Hu, et al.. (2020). Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma. Nature Communications. 11(1). 185 indexed citations

17.

Wu, Chao, et al.. (2020). <p>Neuropilin-1 Interacts with Fibronectin-1 to Promote Epithelial–Mesenchymal Transition Progress in Gastric Cancer</p>. OncoTargets and Therapy. Volume 13. 10677–10687. 20 indexed citations

18.

Qian, Kun, et al.. (2019). Survey on the fertility problem and stigma in infertile women.. 38(1). 90–93.

19.

Luo, Mengyun, Yajiong Xue, Yuanyuan Dong, et al.. (2018). What factors influence older people’s intention to enrol in nursing homes? A cross-sectional observational study in Shanghai, China. BMJ Open. 8(9). e021741–e021741. 23 indexed citations

20.

Qian, Kun, et al.. (2006). Simple Explanations on Water Saving Techniques for Green Homes in USA. Sichuan Environment. 1 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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