Suming Chen

4.1k total citations
156 papers, 3.3k citations indexed

About

Suming Chen is a scholar working on Spectroscopy, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Suming Chen has authored 156 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Spectroscopy, 44 papers in Molecular Biology and 24 papers in Biomedical Engineering. Recurrent topics in Suming Chen's work include Mass Spectrometry Techniques and Applications (38 papers), Metabolomics and Mass Spectrometry Studies (19 papers) and Analytical Chemistry and Chromatography (15 papers). Suming Chen is often cited by papers focused on Mass Spectrometry Techniques and Applications (38 papers), Metabolomics and Mass Spectrometry Studies (19 papers) and Analytical Chemistry and Chromatography (15 papers). Suming Chen collaborates with scholars based in China, United States and Taiwan. Suming Chen's co-authors include Qiongqiong Wan, Huimin Ma, Zongxiu Nie, Abraham K. Badu‐Tawiah, Wen Shi, Caiqiao Xiong, Lihong Li, Huihui Liu, Jian Hou and Qing He and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Suming Chen

139 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suming Chen China 29 1.4k 1.2k 867 632 328 156 3.3k
Zongxiu Nie China 36 2.0k 1.4× 1.4k 1.1× 806 0.9× 779 1.2× 329 1.0× 159 3.9k
Wenpeng Zhang China 37 1.5k 1.0× 1.9k 1.6× 345 0.4× 574 0.9× 331 1.0× 173 3.9k
Xiangjun Liu China 36 678 0.5× 2.2k 1.8× 896 1.0× 705 1.1× 239 0.7× 140 3.8k
Miao Wang China 33 856 0.6× 1.0k 0.9× 1.2k 1.4× 680 1.1× 112 0.3× 120 3.4k
Lianghai Hu China 31 1.1k 0.8× 1.9k 1.6× 414 0.5× 849 1.3× 147 0.4× 97 3.2k
Yu Xia China 40 3.3k 2.3× 3.2k 2.7× 349 0.4× 678 1.1× 327 1.0× 187 5.6k
Hao Chen United States 38 1.6k 1.1× 1.1k 0.9× 303 0.3× 915 1.4× 1.2k 3.6× 159 4.2k
Shu‐Hui Chen Taiwan 38 1.3k 0.9× 1.8k 1.6× 676 0.8× 1.4k 2.2× 471 1.4× 193 4.9k
Jesper Østergaard Denmark 37 782 0.5× 1.4k 1.2× 618 0.7× 1.1k 1.8× 431 1.3× 164 4.5k
Jin Ouyang China 41 1.1k 0.8× 1.8k 1.5× 1.9k 2.2× 1.7k 2.7× 240 0.7× 199 4.8k

Countries citing papers authored by Suming Chen

Since Specialization
Citations

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

Fields of papers citing papers by Suming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suming Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Suming Chen. A scholar is included among the top collaborators of Suming 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 Suming Chen. Suming Chen 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.
Chen, Suming, Chintan Bhavsar, Rohan Lourie, Shuying Li, & Sherry Y. Wu. (2025). Development of an innovative extracellular vesicle mimetic delivery platform for efficient miRNA delivery to tumours. Biomaterials. 321. 123282–123282. 2 indexed citations
2.
Sun, Jian, et al.. (2025). Quantum Chemistry Calculation‐Assisted Large‐Scale Collision Cross Section Prediction Empowers Derivatization‐Enhanced Multidimensional Metabolomics. Angewandte Chemie International Edition. 64(38). e202507483–e202507483.
3.
Chen, Suming, et al.. (2025). Phase Equilibria in Water–Methanesulfonic Acid–Nickel (Cobalt) Methanesulfonate Systems: Experiment and Modeling. Journal of Chemical & Engineering Data. 70(6). 2505–2514.
4.
Chen, Suming, Junguang Li, Haibo Yao, et al.. (2025). Research on rapid and non-destructive detection model for pork freshness based on dual-branch hyperspectral feature extraction network combined with machine learning. Journal of Food Composition and Analysis. 148. 108506–108506. 1 indexed citations
5.
Wan, Qiongqiong, et al.. (2024). Chemistry-driven mass spectrometry for structural lipidomics at the C=C bond isomer level. Chinese Chemical Letters. 36(1). 109836–109836. 6 indexed citations
6.
Liu, Ming & Suming Chen. (2024). Micromechanical characterization of zirconia and silicon nitride ceramics using indentation and scratch methods. Ceramics International. 50(11). 19982–20010. 14 indexed citations
7.
Wan, Qiongqiong, Mengmeng Zhao, Yanhong Hao, et al.. (2024). Efficient diagnosis of benign and malignant pulmonary nodules based on Nano-zero-valent iron enhanced serum metabolic fingerprinting. Chinese Chemical Letters. 36(10). 110794–110794. 1 indexed citations
8.
Chen, Suming, Tong Li, & Yong Li. (2024). Analyzing the impact of COVID-19 on consumption behaviors through recession and recovery patterns. Scientific Reports. 14(1). 1678–1678. 8 indexed citations
10.
Chen, Suming, Ting Wang, Xiaoling Wang, et al.. (2024). Structural origin of enhanced storage energy performance and robust mechanical property in A‐site disordered high‐entropy ceramics. Rare Metals. 44(1). 551–564. 14 indexed citations
11.
Ke, Haibo, Zicheng Zhang, Yu Zhao, et al.. (2024). Characteristics of adverse reactions of three anti-glioma drugs in WHO-VigiAccess. Frontiers in Pharmacology. 15. 1485067–1485067. 3 indexed citations
12.
13.
Chen, Suming, Yuge Chen, Zeming Zhang, et al.. (2023). Broad application prospects near-infrared carbonized polymer dots combined with machine learning for the detection of Cu2+ in seawater and aquatic products. Sensors and Actuators B Chemical. 404. 135245–135245. 10 indexed citations
14.
Jiang, Wenjun, et al.. (2023). A post-pandemic perspective: Evolution of SARS-CoV-2 early detection. TrAC Trends in Analytical Chemistry. 170. 117458–117458. 7 indexed citations
15.
Zhang, Yaoyao, Jianan Li, Qiongqiong Wan, et al.. (2023). Nontargeted metabolomics analysis of follicular fluid in patients with endometriosis provides a new direction for the study of oocyte quality. SHILAP Revista de lepidopterología. 4(3). e302–e302. 12 indexed citations
16.
Nie, Wenjing, et al.. (2023). Ultra-high-throughput mapping of the chemical space of asymmetric catalysis enables accelerated reaction discovery. Nature Communications. 14(1). 14 indexed citations
17.
Hao, Yanhong, et al.. (2022). A protocol for investigating lipidomic dysregulation and discovering lipid biomarkers from human serums. STAR Protocols. 3(1). 101125–101125. 1 indexed citations
18.
Chen, Xiaojuan, Xiaojuan Song, Minhao Huang, et al.. (2021). Investigation of Covalent Warheads in the Design of 2-Aminopyrimidine-based FGFR4 Inhibitors. ACS Medicinal Chemistry Letters. 12(4). 647–652. 14 indexed citations
19.
Chen, Suming, Pragney Deme, Alex M. Dickens, et al.. (2019). Lipidomic characterization of extracellular vesicles in human serum. PubMed. 8. 4150222224–4150222224. 58 indexed citations
20.
Chen, Suming. (2009). The Design Method of Threshold Matrix and Principle for AM Screening.

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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