Shu-De Li

1.5k total citations
54 papers, 1.2k citations indexed

About

Shu-De Li is a scholar working on Molecular Biology, Plant Science and Food Science. According to data from OpenAlex, Shu-De Li has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 19 papers in Plant Science and 18 papers in Food Science. Recurrent topics in Shu-De Li's work include Horticultural and Viticultural Research (18 papers), Fermentation and Sensory Analysis (18 papers) and Ginseng Biological Effects and Applications (11 papers). Shu-De Li is often cited by papers focused on Horticultural and Viticultural Research (18 papers), Fermentation and Sensory Analysis (18 papers) and Ginseng Biological Effects and Applications (11 papers). Shu-De Li collaborates with scholars based in China, Australia and United Kingdom. Shu-De Li's co-authors include Junzi Wu, Chang‐Qing Duan, Hao-Cheng Lu, Jun Wang, Cheng‐Gang Zou, Li‐Min Zhu, Xuejing Zhang, Gareth R. Williams, Shiwei Niu and Yu Wang and has published in prestigious journals such as PLoS ONE, Food Chemistry and Chemical Engineering Journal.

In The Last Decade

Shu-De Li

51 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu-De Li China 22 593 249 227 134 117 54 1.2k
Bing‐Hung Chen Taiwan 28 770 1.3× 188 0.8× 153 0.7× 112 0.8× 170 1.5× 71 1.7k
Jin‐Chul Kim South Korea 27 972 1.6× 231 0.9× 131 0.6× 138 1.0× 119 1.0× 90 2.0k
Ling Jin China 22 564 1.0× 284 1.1× 85 0.4× 61 0.5× 113 1.0× 94 1.4k
Xiaoyong Chen China 22 997 1.7× 224 0.9× 246 1.1× 88 0.7× 91 0.8× 75 1.8k
Xuehong Chen China 26 822 1.4× 350 1.4× 156 0.7× 124 0.9× 45 0.4× 100 1.9k
Nataraju Angaswamy India 22 493 0.8× 186 0.7× 87 0.4× 78 0.6× 107 0.9× 41 1.4k
Hao Ji China 26 820 1.4× 229 0.9× 183 0.8× 80 0.6× 199 1.7× 96 2.0k
Aiguo Ji China 21 501 0.8× 229 0.9× 279 1.2× 56 0.4× 42 0.4× 56 1.7k
Wen Qin China 18 446 0.8× 407 1.6× 331 1.5× 47 0.4× 80 0.7× 55 1.5k
Rui Jiang China 21 530 0.9× 359 1.4× 182 0.8× 47 0.4× 110 0.9× 82 1.3k

Countries citing papers authored by Shu-De Li

Since Specialization
Citations

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

Fields of papers citing papers by Shu-De Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu-De Li. 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 Shu-De Li. The network helps show where Shu-De Li may publish in the future.

Co-authorship network of co-authors of Shu-De Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shu-De Li. A scholar is included among the top collaborators of Shu-De Li 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 Shu-De Li. Shu-De Li 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.
Shi, Ning, Yifan Zhao, Hao-Cheng Lu, et al.. (2025). Flavoromics analysis and sensory evaluation of wines produced from nine red grape cultivars in Manas region, Xinjiang, China: Implications for terroir adaptation. Food Chemistry. 490. 145096–145096. 3 indexed citations
2.
Lu, Hao-Cheng, Ning Shi, Mingyu Li, et al.. (2025). Afternoon shading delays ripening and modifies grape flavonoids and wine composition under natural heat stress in semi-arid regions. Food Chemistry X. 29. 102831–102831.
3.
4.
Lu, Hao-Cheng, Huiqing Li, Mingyu Li, et al.. (2024). Volatilomics of Cabernet Sauvignon grapes and sensory perception of wines are affected by canopy side in vineyards with different row orientations. Food Chemistry. 460(Pt 1). 140508–140508. 4 indexed citations
5.
Fan, Xiaoming, et al.. (2022). Scutellarin Improves Type 2 Diabetic Cardiomyopathy by Regulating Cardiomyocyte Autophagy and Apoptosis. Disease Markers. 2022. 1–10. 17 indexed citations
6.
Lu, Hao-Cheng, Li Hu, Yao Liu, et al.. (2022). Reducing the source/sink ratio of grapevine to face global warming in a semi-arid climate: Effects on volatile composition of Cabernet Sauvignon grapes and wines. Food Chemistry X. 15. 100449–100449. 11 indexed citations
7.
Liu, Yao, Hao-Cheng Lu, Li Hu, et al.. (2022). Cluster spatial positions varied the phenolics profiles of ‘Cabernet Sauvignon’ grapes and wines under a fan training system with multiple trunks. Food Chemistry. 387. 132930–132930. 20 indexed citations
8.
Liu, Yao, Hao-Cheng Lu, Li Hu, et al.. (2022). Volatomics of ‘Cabernet Sauvignon’ grapes and wines under the fan training system revealed the nexus of microclimate and volatile compounds. Food Chemistry. 403. 134421–134421. 18 indexed citations
9.
Yang, Yang, Shu-De Li, Miaomiao Wang, et al.. (2021). Analysis of the misdiagnosis of 8 adult cases of paragonimiasis with lung masses as the main manifestation in Xishuangbanna, Yunnan. Journal of Cardiothoracic Surgery. 16(1). 28–28. 9 indexed citations
10.
Wang, Yu, Xiaotong Gao, Huiqing Li, et al.. (2021). Microclimate changes caused by black inter-row mulch decrease flavonoids concentrations in grapes and wines under semi-arid climate. Food Chemistry. 361. 130064–130064. 23 indexed citations
11.
12.
Zhang, Meiyan, Di Zeng, Lijuan Shen, et al.. (2020). Periplaneta americana Extracts Accelerate Liver Regeneration via a Complex Network of Pathways. Frontiers in Pharmacology. 11. 1174–1174. 18 indexed citations
13.
Mo, Jiao, Yulin Zhou, Renhua Yang, et al.. (2019). Ginsenoside Rg1 ameliorates palmitic acid-induced insulin resistance in HepG2 cells in association with modulating Akt and JNK activity. Pharmacological Reports. 71(6). 1160–1167. 26 indexed citations
14.
15.
Wu, Junzi, Yuqing Yang, Shu-De Li, et al.. (2019). <p>Glucose-Sensitive Nanoparticles Based On Poly(3-Acrylamidophenylboronic Acid-Block-N-Vinylcaprolactam) For Insulin Delivery</p>. International Journal of Nanomedicine. Volume 14. 8059–8072. 16 indexed citations
16.
Guo, Ying, Liping Wang, Chen Li, et al.. (2018). Effects of Ginsenoside Rb1 on Expressions of Phosphorylation Akt/Phosphorylation mTOR/Phosphorylation PTEN in Artificial Abnormal Hippocampal Microenvironment in Rats. Neurochemical Research. 43(10). 1927–1937. 19 indexed citations
17.
Fan, Xiaoming, et al.. (2018). Investigations on the effects of ginsenoside-Rg1 on glucose uptake and metabolism in insulin resistant HepG2 cells. European Journal of Pharmacology. 843. 277–284. 39 indexed citations
18.
He, Bo, Peng Chen, Yu Xie, et al.. (2017). 20(R)-Ginsenoside Rg3 protects SH-SY5Y cells against apoptosis induced by oxygen and glucose deprivation/reperfusion. Bioorganic & Medicinal Chemistry Letters. 27(16). 3867–3871. 20 indexed citations
19.
Liu, Zhen, Shu-De Li, Wei Wang, et al.. (2011). Parallel Evolution of KCNQ4 in Echolocating Bats. PLoS ONE. 6(10). e26618–e26618. 37 indexed citations
20.
Li, Shu-De, et al.. (2006). Hemin-mediated Hemolysis in Erythrocytes: Effects of Ascorbic Acid and Glutathione. Acta Biochimica et Biophysica Sinica. 38(1). 63–69. 30 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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