Ming-Luan Chen

787 total citations
12 papers, 651 citations indexed

About

Ming-Luan Chen is a scholar working on Spectroscopy, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Ming-Luan Chen has authored 12 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Spectroscopy, 5 papers in Molecular Biology and 5 papers in Biomedical Engineering. Recurrent topics in Ming-Luan Chen's work include Analytical Chemistry and Chromatography (6 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers) and Mass Spectrometry Techniques and Applications (3 papers). Ming-Luan Chen is often cited by papers focused on Analytical Chemistry and Chromatography (6 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers) and Mass Spectrometry Techniques and Applications (3 papers). Ming-Luan Chen collaborates with scholars based in China and United States. Ming-Luan Chen's co-authors include Yu‐Qi Feng, Bi‐Feng Yuan, Jiaqi Liu, Yunqing Huang, Yan Wu, Tian-Tian Ye, Xiaomeng Fu, Qiong‐Wei Yu, Ming‐Ming Zheng and Wei Huang and has published in prestigious journals such as PLoS ONE, Journal of Chromatography A and Clinical Chemistry.

In The Last Decade

Ming-Luan Chen

12 papers receiving 645 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming-Luan Chen China 10 308 198 178 165 94 12 651
Emanuela Spina Italy 15 289 0.9× 93 0.5× 266 1.5× 91 0.6× 52 0.6× 27 668
Na Sai China 13 202 0.7× 268 1.4× 39 0.2× 132 0.8× 60 0.6× 28 594
A. J. Ferrer Correia Portugal 14 123 0.4× 120 0.6× 92 0.5× 96 0.6× 42 0.4× 25 527
Cristina Montealegre Spain 15 225 0.7× 40 0.2× 220 1.2× 261 1.6× 56 0.6× 24 565
Dafeng Jiang China 15 199 0.6× 137 0.7× 48 0.3× 103 0.6× 50 0.5× 46 606
Lihua Yuan China 9 141 0.5× 96 0.5× 104 0.6× 44 0.3× 189 2.0× 17 444
Н. А. Бурмистрова Russia 11 167 0.5× 165 0.8× 62 0.3× 133 0.8× 70 0.7× 54 485
Guofan Wu China 16 443 1.4× 134 0.7× 39 0.2× 149 0.9× 73 0.8× 36 698
Areum Lee South Korea 13 161 0.5× 35 0.2× 136 0.8× 81 0.5× 36 0.4× 28 459

Countries citing papers authored by Ming-Luan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Luan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Luan Chen. 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 Ming-Luan Chen. The network helps show where Ming-Luan Chen may publish in the future.

Co-authorship network of co-authors of Ming-Luan Chen

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

All Works

12 of 12 papers shown
1.
Chen, Ming-Luan, et al.. (2023). Volumetric Absorptive Microsampling Coupled with Hybridization LC–MS/MS for Quantitation of Antisense Oligonucleotides. Bioanalysis. 15(18). 1115–1128. 4 indexed citations
3.
Chen, Ming-Luan, Jun Zhang, Zheng Zhang, et al.. (2013). Facile preparation of organic-silica hybrid monolith for capillary hydrophilic liquid chromatography based on “thiol-ene” click chemistry. Journal of Chromatography A. 1284. 118–125. 51 indexed citations
4.
Chen, Ming-Luan, Xin Su, Wei Xiong, et al.. (2013). Assessing Gibberellins Oxidase Activity by Anion Exchange/Hydrophobic Polymer Monolithic Capillary Liquid Chromatography-Mass Spectrometry. PLoS ONE. 8(7). e69629–e69629. 6 indexed citations
6.
Chen, Ming-Luan, Xiaomeng Fu, Jiaqi Liu, et al.. (2012). Highly sensitive and quantitative profiling of acidic phytohormones using derivatization approach coupled with nano-LC–ESI-Q-TOF-MS analysis. Journal of Chromatography B. 905. 67–74. 171 indexed citations
7.
Chen, Ming-Luan, Li‐Man Li, Bi‐Feng Yuan, Qiao Ma, & Yu‐Qi Feng. (2012). Preparation and characterization of methacrylate-based monolith for capillary hydrophilic interaction chromatography. Journal of Chromatography A. 1230. 54–60. 63 indexed citations
8.
Hu, Xizhou, Ming-Luan Chen, Qiang Gao, Qiong‐Wei Yu, & Yu‐Qi Feng. (2011). Determination of benzimidazole residues in animal tissue samples by combination of magnetic solid-phase extraction with capillary zone electrophoresis. Talanta. 89. 335–341. 49 indexed citations
9.
Chen, Ming-Luan, Shanshan Wei, Bi‐Feng Yuan, & Yu‐Qi Feng. (2011). Preparation of methacrylate-based monolith for capillary hydrophilic interaction chromatography and its application in determination of nucleosides in urine. Journal of Chromatography A. 1228. 183–192. 45 indexed citations
10.
Chen, Ming-Luan, Yunqing Huang, Jiaqi Liu, Bi‐Feng Yuan, & Yu‐Qi Feng. (2011). Highly sensitive profiling assay of acidic plant hormones using a novel mass probe by capillary electrophoresis-time of flight-mass spectrometry. Journal of Chromatography B. 879(13-14). 938–944. 76 indexed citations
11.
Wang, Shao‐Ting, Ming-Luan Chen, & Yu‐Qi Feng. (2011). A meso-macroporous borosilicate monolith prepared by a sol–gel method. Microporous and Mesoporous Materials. 151. 250–254. 14 indexed citations
12.

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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