Yuliang Deng

3.3k total citations · 3 hit papers
72 papers, 2.7k citations indexed

About

Yuliang Deng is a scholar working on Pathology and Forensic Medicine, Food Science and Biomedical Engineering. According to data from OpenAlex, Yuliang Deng has authored 72 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Pathology and Forensic Medicine, 27 papers in Food Science and 25 papers in Biomedical Engineering. Recurrent topics in Yuliang Deng's work include Tea Polyphenols and Effects (35 papers), Fermentation and Sensory Analysis (18 papers) and Phytochemicals and Antioxidant Activities (13 papers). Yuliang Deng is often cited by papers focused on Tea Polyphenols and Effects (35 papers), Fermentation and Sensory Analysis (18 papers) and Phytochemicals and Antioxidant Activities (13 papers). Yuliang Deng collaborates with scholars based in China, United States and Denmark. Yuliang Deng's co-authors include Haibo Yuan, Yanqin Yang, Yongwen Jiang, Jinjie Hua, Chunwang Dong, Yongwen Jiang, Jialing Xie, Jia Li, Jiayi Zhu and Jinjin Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Yuliang Deng

71 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Widely targeted metabolomic analysis reveals dynamic changes in non-volatile and volatile metabolites during green tea processing

2021 185 citations Jinjie Hua, Qinyan Yu et al. Food Chemistry profile →
Insight into aroma dynamic changes during the whole manufacturing process of chestnut-like aroma green tea by combining GC-E-Nose, GC-IMS, and GC × GC-TOFMS

2022 114 citations Yanqin Yang, Michael C. Qian et al. Food Chemistry profile →
Characterization of the key odorants in floral aroma green tea based on GC-E-Nose, GC-IMS, GC-MS and aroma recombination and investigation of the dynamic changes and aroma formation during processing

2023 102 citations Jialing Xie, Lilei Wang et al. Food Chemistry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuliang Deng China	34	1.1k	1.1k	877	611	566	72	2.7k
Jianxun Li China	22	284 0.3×	508 0.5×	146 0.2×	201 0.3×	499 0.9×	60	1.5k
Fei Pan China	25	91 0.1×	460 0.4×	1.1k 1.2×	192 0.3×	841 1.5×	120	2.6k
Naoto Shimizu Japan	28	96 0.1×	535 0.5×	354 0.4×	160 0.3×	955 1.7×	158	2.9k
Yukitaka Kimura Japan	26	81 0.1×	317 0.3×	1.0k 1.2×	137 0.2×	973 1.7×	102	2.6k
Allen Y. Chen United States	13	127 0.1×	137 0.1×	307 0.4×	282 0.5×	952 1.7×	16	2.0k
Lijie Zhu China	27	84 0.1×	894 0.8×	361 0.4×	64 0.1×	605 1.1×	114	2.3k
Guoguang Niu China	17	126 0.1×	213 0.2×	270 0.3×	237 0.4×	328 0.6×	31	1.5k
Limin Hao China	25	73 0.1×	419 0.4×	268 0.3×	127 0.2×	429 0.8×	79	1.7k
Fei Liu China	26	69 0.1×	426 0.4×	310 0.4×	95 0.2×	840 1.5×	127	2.5k
Dandan Zhou China	24	47 0.0×	210 0.2×	349 0.4×	125 0.2×	929 1.6×	99	2.1k

Countries citing papers authored by Yuliang Deng

Since Specialization

Citations

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

Fields of papers citing papers by Yuliang Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuliang Deng

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

All Works

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20 of 20 papers shown

Wang, Ting, et al.. (2025). Multi-organ-on-a-chip: Modeling strategy, method, and biomedical applications. Biomicrofluidics. 19(4). 1 indexed citations

Zhang, Jianyong, et al.. (2025). Determination of potential α-glucosidase inhibitors in Jinxuan black tea based on bioaffinity ultrafiltration combined with UHPLC-Q-Exactive-MS. Food Research International. 214. 116635–116635. 1 indexed citations

Wang, Ting Ting, et al.. (2024). Single extracellular vesicle research: From cell population to a single cell. Biochemical and Biophysical Research Communications. 734. 150439–150439. 3 indexed citations

Xie, Jialing, Lilei Wang, Yongwen Jiang, et al.. (2024). Comprehensive investigation on the dynamic changes of volatile metabolites in fresh scent green tea during processing by GC-E-Nose, GC–MS, and GC × GC-TOFMS. Food Research International. 187. 114330–114330. 30 indexed citations

Xie, Jialing, Lilei Wang, Yuliang Deng, et al.. (2023). Characterization of the key odorants in floral aroma green tea based on GC-E-Nose, GC-IMS, GC-MS and aroma recombination and investigation of the dynamic changes and aroma formation during processing. Food Chemistry. 427. 136641–136641. 102 indexed citations breakdown →

Yu, Qinyan, Le Chen, Shan Zhang, et al.. (2023). Analyzing the influence of withering degree on the dynamic changes in non-volatile metabolites and sensory quality of Longjing green tea by non-targeted metabolomics. Frontiers in Nutrition. 10. 1104926–1104926. 31 indexed citations

Zhang, Jianyong, Weiwei Wang, Yun Zhao, et al.. (2023). Bitterness quantification and simulated taste mechanism of theasinensin A from tea. Frontiers in Nutrition. 10. 1138023–1138023. 7 indexed citations

Wang, Lilei, Jialing Xie, Yuliang Deng, et al.. (2023). Volatile profile characterization during the drying process of black tea by integrated volatolomics analysis. LWT. 184. 115039–115039. 22 indexed citations

Huang, Wanqiu, et al.. (2023). RT-nestRPA is a new technology for the rapid and sensitive detection of nucleic acid detection of pathogens used for a variety of medical application scenarios. Analytica Chimica Acta. 1262. 341263–341263. 2 indexed citations

10.

Yang, Yanqin, Michael C. Qian, Yuliang Deng, Haibo Yuan, & Yongwen Jiang. (2022). Insight into aroma dynamic changes during the whole manufacturing process of chestnut-like aroma green tea by combining GC-E-Nose, GC-IMS, and GC × GC-TOFMS. Food Chemistry. 387. 132813–132813. 114 indexed citations breakdown →

11.

Huang, Wen, Yuliang Deng, Ziwei Li, et al.. (2022). Preparation, characterization, and osteogenic activity mechanism of casein phosphopeptide-calcium chelate. Frontiers in Nutrition. 9. 960228–960228. 23 indexed citations

12.

Li, Jia, Jinjie Hua, Haibo Yuan, et al.. (2020). Investigation on green tea lipids and their metabolic variations during manufacturing by nontargeted lipidomics. Food Chemistry. 339. 128114–128114. 93 indexed citations

13.

Yang, Yanqin, Jinjie Hua, Yuliang Deng, et al.. (2020). Aroma dynamic characteristics during the process of variable-temperature final firing of Congou black tea by electronic nose and comprehensive two-dimensional gas chromatography coupled to time-of-flight mass spectrometry. Food Research International. 137. 109656–109656. 68 indexed citations

14.

Yang, Yanqin, Hongxu Yin, Haibo Yuan, et al.. (2018). Characterization of the volatile components in green tea by IRAE-HS-SPME/GC-MS combined with multivariate analysis. PLoS ONE. 13(3). e0193393–e0193393. 53 indexed citations

15.

Tang, Yin, Zhuo Wang, Ziming Li, et al.. (2017). High-throughput screening of rare metabolically active tumor cells in pleural effusion and peripheral blood of lung cancer patients. Proceedings of the National Academy of Sciences. 114(10). 2544–2549. 58 indexed citations

16.

Xie, Wengang, et al.. (2016). Investigation single event effects characterization on configuration PROMs of FPGA induced by heavy ions. 33(3). 358–364. 1 indexed citations

17.

Xiong, Bin, Boran Cheng, Zhaobo He, et al.. (2014). Transparent, biocompatible nanostructured surfaces for cancer cell capture and culture. International Journal of Nanomedicine. 9. 2569–2569. 18 indexed citations

18.

Zhang, Nangang, Yuliang Deng, Qidong Tai, et al.. (2012). Electrospun TiO₂ Nanofiber‐Based Cell Capture Assay for Detecting Circulating Tumor Cells from Colorectal and Gastric Cancer Patients. Advanced Materials. 24(20). 2756–2760. 301 indexed citations

19.

Deng, Yuliang, Nangang Zhang, Libo Zhao, et al.. (2011). Rapid purification of cell encapsulated hydrogel beads from oil phase to aqueous phase in a microfluidic device. Lab on a Chip. 11(23). 4117–4117. 48 indexed citations

20.

Yu, Xue‐Feng, Liangdong Chen, Kaiyang Li, et al.. (2007). Immunofluorescence detection with quantum dot bioconjugates for hepatoma in vivo. Journal of Biomedical Optics. 12(1). 14008–14008. 57 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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