Kwan‐Ming Ng

2.1k total citations
47 papers, 1.6k citations indexed

About

Kwan‐Ming Ng is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Kwan‐Ming Ng has authored 47 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 22 papers in Spectroscopy and 13 papers in Biomedical Engineering. Recurrent topics in Kwan‐Ming Ng's work include Mass Spectrometry Techniques and Applications (19 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Gold and Silver Nanoparticles Synthesis and Applications (7 papers). Kwan‐Ming Ng is often cited by papers focused on Mass Spectrometry Techniques and Applications (19 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Gold and Silver Nanoparticles Synthesis and Applications (7 papers). Kwan‐Ming Ng collaborates with scholars based in Hong Kong, China and Japan. Kwan‐Ming Ng's co-authors include Chi‐Ming Che, Ho‐Wai Tang, Wei Lu, Stephen Sin‐Yin Chui, Yibin Feng, Yu-Hong Cheng, Ning Wang, Yao Tong, Melody Yee‐Man Wong and Sai‐Wah Tsao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Kwan‐Ming Ng

47 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kwan‐Ming Ng Hong Kong 21 555 485 339 252 215 47 1.6k
Tomasz Ruman Poland 24 619 1.1× 570 1.2× 224 0.7× 233 0.9× 128 0.6× 104 1.6k
Arnd Ingendoh Germany 17 730 1.3× 500 1.0× 204 0.6× 187 0.7× 188 0.9× 29 1.5k
Xuejun Tang China 26 654 1.2× 765 1.6× 199 0.6× 397 1.6× 57 0.3× 58 1.8k
Jingxi Pan Canada 34 1.4k 2.5× 1.5k 3.0× 697 2.1× 269 1.1× 139 0.6× 65 3.3k
Caiqiao Xiong China 23 1.1k 2.0× 819 1.7× 293 0.9× 239 0.9× 452 2.1× 76 2.2k
Sandra Alvès France 21 476 0.9× 574 1.2× 515 1.5× 389 1.5× 194 0.9× 68 1.5k
Hugo M. Santos Portugal 23 823 1.5× 794 1.6× 548 1.6× 193 0.8× 262 1.2× 130 2.1k
Munna Sarkar India 22 224 0.4× 1.2k 2.4× 276 0.8× 456 1.8× 162 0.8× 57 2.0k
Yao Liu China 21 356 0.6× 736 1.5× 430 1.3× 235 0.9× 728 3.4× 84 1.9k

Countries citing papers authored by Kwan‐Ming Ng

Since Specialization
Citations

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

Fields of papers citing papers by Kwan‐Ming Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwan‐Ming Ng. 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 Kwan‐Ming Ng. The network helps show where Kwan‐Ming Ng may publish in the future.

Co-authorship network of co-authors of Kwan‐Ming Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Kwan‐Ming Ng. A scholar is included among the top collaborators of Kwan‐Ming Ng 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 Kwan‐Ming Ng. Kwan‐Ming Ng 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, Siyu, Yue Wang, Su Yang, et al.. (2024). Hierarchical superstructure aerogels for in situ biofluid metabolomics. Nanoscale. 16(17). 8607–8617. 1 indexed citations
2.
Huang, Wei, et al.. (2023). Near-Field-Induced Ionization on Photo-Excited Gold Nanoparticles. The Journal of Physical Chemistry C. 127(22). 10508–10514. 3 indexed citations
3.
Wang, Yue, Jun Hu, Siyu Chen, et al.. (2023). μ‐PESI‐based MS profiling combined with untargeted metabolomics analysis for rapid identification of red wine geographical origin. Journal of the Science of Food and Agriculture. 104(1). 546–552. 1 indexed citations
4.
Zheng, Delun, Jianying Yang, Zengyao Zheng, et al.. (2022). Sensitive photoelectrochemical detection of colitoxin DNA based on NCDs@CuO/ZnO heterostructured nanocomposites with efficient separation capacity of photo-induced carriers. Microchimica Acta. 189(4). 166–166. 8 indexed citations
5.
Liu, Bolin, et al.. (2022). Integration of Non-targeted Proteomics Mass Spectrometry with Machine Learning for Screening Cooked Beef Adulterated Samples. Journal of Agricultural and Food Chemistry. 71(4). 2173–2182. 14 indexed citations
6.
Ng, Kwan‐Ming, Yu-Hong Cheng, Ho‐Wai Tang, et al.. (2021). Harvesting More Energetic Photoexcited Electrons from Closely Packed Gold Nanoparticles. Journal of the American Society for Mass Spectrometry. 32(3). 815–824. 9 indexed citations
7.
Cheng, Yu-Hong, Chun‐Nam Lok, Ho Yu Au‐Yeung, et al.. (2020). Surface optimization of gold nanoparticle mass tags for the sensitive detection of protein biomarkers via immuno-capture LI-MS. The Analyst. 145(19). 6237–6242. 13 indexed citations
8.
Cheng, Yu-Hong, et al.. (2019). Plasmonic gold nanoparticles as multifaceted probe for tissue imaging. Chemical Communications. 55(19). 2761–2764. 16 indexed citations
9.
10.
Tang, Ho‐Wai, et al.. (2017). Chemical Printing of Biological Tissue by Gold Nanoparticle-Assisted Laser Ablation. ACS Omega. 2(9). 6031–6038. 2 indexed citations
11.
Cheng, Yu-Hong, et al.. (2016). Enhancement of Image Contrast, Stability, and SALDI-MS Detection Sensitivity for Latent Fingerprint Analysis by Tuning the Composition of Silver–Gold Nanoalloys. ACS Applied Materials & Interfaces. 8(43). 29668–29675. 43 indexed citations
13.
Lai, Yau‐Tsz, Yuen‐Yan Chang, Ligang Hu, et al.. (2015). Rapid labeling of intracellular His-tagged proteins in living cells. Proceedings of the National Academy of Sciences. 112(10). 2948–2953. 75 indexed citations
14.
Ng, Kwan‐Ming, et al.. (2014). Direct Analysis of Large Living Organism by Megavolt Electrostatic Ionization Mass Spectrometry. Journal of the American Society for Mass Spectrometry. 25(9). 1515–1520. 5 indexed citations
15.
Zhang, Jingjing, Kwan‐Ming Ng, Chun‐Nam Lok, Raymond Wai‐Yin Sun, & Chi‐Ming Che. (2013). Deubiquitinases as potential anti-cancer targets for gold(iii) complexes. Chemical Communications. 49(45). 5153–5153. 40 indexed citations
16.
Wang, Ning, Yibin Feng, Meifen Zhu, et al.. (2013). A novel mechanism of XIAP degradation induced by timosaponin AIII in hepatocellular carcinoma. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1833(12). 2890–2899. 51 indexed citations
17.
Feng, Yibin, Ning Wang, Kwan‐Ming Ng, et al.. (2009). Bear bile: dilemma of traditional medicinal use and animal protection. Journal of Ethnobiology and Ethnomedicine. 5(1). 2–2. 152 indexed citations
18.
Rong, Jianhui, Robert D. Tilton, Jiangang Shen, et al.. (2007). Genome-wide biological response fingerprinting (BioReF) of the Chinese botanical formulation ISF-1 enables the selection of multiple marker genes as a potential metric for quality control. Journal of Ethnopharmacology. 113(1). 35–44. 35 indexed citations
19.
Ng, Kwan‐Ming, et al.. (2006). Analytical application of acetate anion in negative electrospray ionization mass spectrometry for the analysis of triterpenoid saponins–ginsenosides. Rapid Communications in Mass Spectrometry. 20(10). 1545–1550. 13 indexed citations
20.
Ng, Kwan‐Ming, et al.. (2003). Silver(i) affinities of amides: a combined ab initio and experimental study. Physical Chemistry Chemical Physics. 6(1). 144–144. 13 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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