Qun Fang

7.2k total citations
140 papers, 4.2k citations indexed

About

Qun Fang is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Spectroscopy. According to data from OpenAlex, Qun Fang has authored 140 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Biomedical Engineering, 25 papers in Electrical and Electronic Engineering and 22 papers in Spectroscopy. Recurrent topics in Qun Fang's work include Microfluidic and Capillary Electrophoresis Applications (78 papers), Innovative Microfluidic and Catalytic Techniques Innovation (71 papers) and Microfluidic and Bio-sensing Technologies (29 papers). Qun Fang is often cited by papers focused on Microfluidic and Capillary Electrophoresis Applications (78 papers), Innovative Microfluidic and Catalytic Techniques Innovation (71 papers) and Microfluidic and Bio-sensing Technologies (29 papers). Qun Fang collaborates with scholars based in China, United States and Netherlands. Qun Fang's co-authors include Ying Zhu, Zhao‐Lun Fang, Guan-Sheng Du, Jian‐Zhang Pan, Wenbin Du, Jaap M. J. den Toonder, Yunxia Zhang, Bo Yao, Zhijian Jia and Longfei Cai and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Qun Fang

134 papers receiving 4.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qun Fang China 38 3.2k 1.2k 733 599 204 140 4.2k
Bingcheng Lin China 39 3.8k 1.2× 806 0.7× 1.1k 1.4× 452 0.8× 140 0.7× 136 4.7k
Yordan Kostov United States 31 2.0k 0.6× 693 0.6× 1.4k 1.9× 215 0.4× 806 4.0× 117 3.4k
Nathan S. Swami United States 33 1.9k 0.6× 1.5k 1.3× 638 0.9× 136 0.2× 264 1.3× 115 3.6k
Stéphanie Descroix France 29 2.1k 0.6× 487 0.4× 739 1.0× 207 0.3× 79 0.4× 132 3.0k
Hiroaki Suzuki Japan 35 2.4k 0.8× 1.9k 1.6× 740 1.0× 312 0.5× 1.4k 6.6× 277 4.5k
Zhang‐Run Xu China 34 1.7k 0.5× 565 0.5× 1.3k 1.8× 200 0.3× 122 0.6× 122 3.2k
Jian Shu China 25 1.4k 0.5× 654 0.6× 1.0k 1.4× 252 0.4× 176 0.9× 97 2.9k
Xiaojun Feng China 35 2.2k 0.7× 372 0.3× 1.5k 2.0× 252 0.4× 77 0.4× 146 3.6k
Jae‐Chul Pyun South Korea 32 1.6k 0.5× 1.0k 0.9× 1.8k 2.5× 431 0.7× 294 1.4× 200 3.8k
Nicole Pamme United Kingdom 31 4.1k 1.3× 1.5k 1.3× 571 0.8× 90 0.2× 90 0.4× 102 4.7k

Countries citing papers authored by Qun Fang

Since Specialization
Citations

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

Fields of papers citing papers by Qun Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qun Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Qun Fang. A scholar is included among the top collaborators of Qun Fang 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 Qun Fang. Qun Fang 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.
Xu, Qin‐Qin, Yirong Jiang, Jianbo Chen, et al.. (2025). Single Cell‐Pair Proteomics for Decoding Immune‐Cancer Cell Interactions. Advanced Science. 12(11). e2414769–e2414769. 2 indexed citations
2.
Xu, Yongsheng, et al.. (2025). Enhancing recommendation via knowledge transfer contrastive in global path networks. Knowledge-Based Systems. 324. 113847–113847.
3.
Xu, Qin‐Qin, et al.. (2025). Benchmarking informatics workflows for data-independent acquisition single-cell proteomics. Nature Communications. 16(1). 10276–10276.
4.
Jiang, Yirong, Yu Wang, Jie Wu, et al.. (2025). Microamount Phosphopeptide-Enrichment-System-Based Phosphoproteomic Analysis for Small Numbers of Cells and Single Cells. Analytical Chemistry. 97(16). 8709–8718.
5.
Wang, Hui-Feng, et al.. (2024). A Micropore Array‐Based Single‐Cell Operating System. Sensors and Actuators B Chemical. 426. 136993–136993. 1 indexed citations
6.
Wu, Jie, Qin‐Qin Xu, Yirong Jiang, et al.. (2024). One-Shot Single-Cell Proteome and Metabolome Analysis Strategy for the Same Single Cell. Analytical Chemistry. 96(14). 5499–5508. 7 indexed citations
7.
Lv, Liulin, Shaojie Liu, Meiyi Zhu, et al.. (2024). Weakly Confined Semiconductor Nanocrystals Excel in Photochemical and Optoelectronic Properties: Evidence from Single-Dot Studies. Journal of the American Chemical Society. 146(31). 21948–21959. 4 indexed citations
8.
Yang, Yi & Qun Fang. (2024). Prediction of glycopeptide fragment mass spectra by deep learning. Nature Communications. 15(1). 2448–2448. 20 indexed citations
9.
Wang, Yu, Yirong Jiang, Jie Zhang, et al.. (2024). Pick-up single-cell proteomic analysis for quantifying up to 3000 proteins in a Mammalian cell. Nature Communications. 15(1). 1279–1279. 34 indexed citations
10.
Jiang, Yirong, Le Zhu, Qiong Wu, et al.. (2023). Simultaneous deep transcriptome and proteome profiling in a single mouse oocyte. Cell Reports. 42(11). 113455–113455. 20 indexed citations
11.
Wu, Sai, Furong Chen, Zheng Yang, et al.. (2022). Improving the wet adhesive bonding of bamboo urea‐formaldehyde adhesive using styrene acrylate by controlling monomer ratios. Journal of Applied Polymer Science. 139(45). 4 indexed citations
12.
13.
Ma, Yan, et al.. (2020). LC-Swan Probe: An Integrated In Situ Sampling Interface for Liquid Chromatography Separation and Mass Spectrometry Analysis. Analytical Chemistry. 92(13). 9214–9222. 11 indexed citations
14.
15.
Li, Jiongzhao, Huifeng Wang, Long Lin, Qun Fang, & Xiaogang Peng. (2018). Quantitative Identification of Basic Growth Channels for Formation of Monodisperse Nanocrystals. Journal of the American Chemical Society. 140(16). 5474–5484. 47 indexed citations
16.
17.
Liang, Yiran, et al.. (2017). 3D-Printed High-Density Droplet Array Chip for Miniaturized Protein Crystallization Screening under Vapor Diffusion Mode. ACS Applied Materials & Interfaces. 9(13). 11837–11845. 32 indexed citations
18.
Fang, Qun, et al.. (2013). Use of Biocides and Soy Oil in Preservative Treatment of Structural Flakeboard. Wood and Fiber Science. 45(4). 363–369. 1 indexed citations
19.
Lei, Hong, et al.. (2009). Structural progressing of phenol-urea-formaldehyde resin under alkaline condition.. Linchan huaxue yu gongye. 29(3). 63–68. 1 indexed citations
20.
Li, Zhou, et al.. (2004). Development of Pneumatic Microvalve of Glass-based PDMS Microfluidic Chip. Gaodeng xuexiao huaxue xuebao. 25. 35. 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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