Dabing Ren

1.5k total citations
44 papers, 1.2k citations indexed

About

Dabing Ren is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Food Science. According to data from OpenAlex, Dabing Ren has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 19 papers in Pathology and Forensic Medicine and 13 papers in Food Science. Recurrent topics in Dabing Ren's work include Tea Polyphenols and Effects (19 papers), Metabolomics and Mass Spectrometry Studies (18 papers) and Fermentation and Sensory Analysis (10 papers). Dabing Ren is often cited by papers focused on Tea Polyphenols and Effects (19 papers), Metabolomics and Mass Spectrometry Studies (18 papers) and Fermentation and Sensory Analysis (10 papers). Dabing Ren collaborates with scholars based in China, Hong Kong and Australia. Dabing Ren's co-authors include Lunzhao Yi, Yi‐Zeng Liang, Baichuan Deng, Yong‐Huan Yun, Shao Liu, Naiping Dong, Zhongquan Xin, Binsong Han, Qing‐Song Xu and Shasha Ma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Dabing Ren

43 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dabing Ren China 18 469 460 291 268 217 44 1.2k
Yong‐Jie Yu China 22 501 1.1× 598 1.3× 162 0.6× 344 1.3× 66 0.3× 87 1.4k
Luqing Li China 26 253 0.5× 1.0k 2.2× 344 1.2× 789 2.9× 584 2.7× 56 1.7k
Paulo Henrique Gonçalves Dias Diniz Brazil 23 367 0.8× 965 2.1× 286 1.0× 659 2.5× 129 0.6× 70 1.5k
Qun Ma China 19 291 0.6× 256 0.6× 144 0.5× 78 0.3× 64 0.3× 45 875
Mengting Zhu China 18 243 0.5× 337 0.7× 261 0.9× 240 0.9× 74 0.3× 37 936
Michael Popp Austria 18 200 0.4× 313 0.7× 202 0.7× 163 0.6× 82 0.4× 32 913
Rosa M. Alonso‐Salces Spain 25 633 1.3× 823 1.8× 771 2.6× 555 2.1× 155 0.7× 44 2.5k
Zhi‐Tian Zuo China 20 444 0.9× 515 1.1× 190 0.7× 126 0.5× 33 0.2× 61 1.0k
Łukasz Komsta Poland 20 387 0.8× 484 1.1× 241 0.8× 111 0.4× 99 0.5× 132 1.6k
Ana M. Jiménez–Carvelo Spain 19 422 0.9× 645 1.4× 251 0.9× 454 1.7× 27 0.1× 53 1.2k

Countries citing papers authored by Dabing Ren

Since Specialization
Citations

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

Fields of papers citing papers by Dabing Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dabing Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Dabing Ren. A scholar is included among the top collaborators of Dabing Ren 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 Dabing Ren. Dabing Ren 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.
Li, Wenting, et al.. (2025). Investigation on the Lipid Profile of Ripened Pu‐erh Tea and Relationships Between Their Changes and Key Aromatic Volatiles. Journal of Separation Science. 48(4). e70133–e70133.
2.
Yi, Lunzhao, et al.. (2024). Recent advances of artificial intelligence in quantitative analysis of food quality and safety indicators: A review. TrAC Trends in Analytical Chemistry. 180. 117944–117944. 23 indexed citations
4.
Chen, Han, Wenjiang Dong, Meiyan Liu, et al.. (2024). Non-targeted profiling of aldehydes and ketones in coffee beans via isotope labelling-assisted UHPLC-Q-Orbitrap-MS and effects of roasting. Journal of Food Composition and Analysis. 139. 107073–107073. 2 indexed citations
6.
Ren, Dabing, et al.. (2024). Mannoproteins modulate olfactrory perception and copigmentation of organoleptic-active-components in wines: Effects and potential molecular mechanisms. Food Research International. 194. 114883–114883. 5 indexed citations
7.
Li, Yingcai, Xiaoping Yuan, Siyu Li, et al.. (2024). Aroma and taste analysis of pickled tea from spontaneous and yeast-enhanced fermentation by mass spectrometry and sensory evaluation. Food Chemistry. 442. 138472–138472. 20 indexed citations
8.
Liu, Hongcheng, Tao Lin, Lunzhao Yi, et al.. (2023). Quantification of caffeine and catechins and evaluation of bitterness and astringency of Pu-erh ripen tea based on portable near-infrared spectroscopy. Journal of Food Composition and Analysis. 125. 105793–105793. 16 indexed citations
10.
Wang, Dan, Zhihao Yu, Jie Guo, et al.. (2023). Development and comparison of parallel reaction monitoring and data-independent acquisition methods for quantitative analysis of hydrophilic compounds in white tea. Journal of Chromatography A. 1715. 464601–464601. 2 indexed citations
12.
Zhang, Yunmei, Guang‐Hui Fu, Dabing Ren, et al.. (2021). Screening of lipid metabolism biomarkers in patients with coronary heart disease via ultra-performance liquid chromatography–high resolution mass spectrometry. Journal of Chromatography B. 1169. 122603–122603. 9 indexed citations
13.
Tian, Jun, et al.. (2021). Analysis of coloration characteristics of Tunisian soft-seed pomegranate arils based on transcriptome and metabolome. Food Chemistry. 370. 131270–131270. 20 indexed citations
15.
Chen, Ning, Binsong Han, Xiaowei Fan, et al.. (2020). Uncovering the antioxidant characteristics of black tea by coupling in vitro free radical scavenging assay with UHPLC–HRMS analysis. Journal of Chromatography A. 1 indexed citations
16.
Xin, Zhongquan, Shasha Ma, Dabing Ren, et al.. (2018). UPLC–Orbitrap–MS/MS combined with chemometrics establishes variations in chemical components in green tea from Yunnan and Hunan origins. Food Chemistry. 266. 534–544. 80 indexed citations
17.
Han, Binsong, Zhongquan Xin, Shasha Ma, et al.. (2017). Comprehensive characterization and identification of antioxidants in Folium Artemisiae Argyi using high-resolution tandem mass spectrometry. Journal of Chromatography B. 1063. 84–92. 73 indexed citations
18.
Yi, Lunzhao, Naiping Dong, Yong‐Huan Yun, et al.. (2016). Chemometric methods in data processing of mass spectrometry-based metabolomics: A review. Analytica Chimica Acta. 914. 17–34. 214 indexed citations
19.
Liang, Yi‐Zeng, et al.. (2015). Separation of phenolic acids and flavonoids from Trollius chinensis Bunge by high speed counter-current chromatography. Journal of Chromatography B. 1001. 82–89. 21 indexed citations
20.
Yun, Yong‐Huan, Wei‐Ting Wang, Baichuan Deng, et al.. (2014). Using variable combination population analysis for variable selection in multivariate calibration. Analytica Chimica Acta. 862. 14–23. 174 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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