Tie-Jun Ling

2.7k total citations
55 papers, 2.1k citations indexed

About

Tie-Jun Ling is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Biochemistry. According to data from OpenAlex, Tie-Jun Ling has authored 55 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Pathology and Forensic Medicine, 20 papers in Molecular Biology and 16 papers in Biochemistry. Recurrent topics in Tie-Jun Ling's work include Tea Polyphenols and Effects (34 papers), Phytochemicals and Antioxidant Activities (15 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). Tie-Jun Ling is often cited by papers focused on Tea Polyphenols and Effects (34 papers), Phytochemicals and Antioxidant Activities (15 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). Tie-Jun Ling collaborates with scholars based in China, United States and Kazakhstan. Tie-Jun Ling's co-authors include Xiaochun Wan, Zhengzhu Zhang, Guan‐Hu Bao, Liang Zhang, Daxiang Li, Yijun Wang, Yibin Zhou, Tao Xia, Chi‐Tang Ho and Zhipeng Kan and has published in prestigious journals such as The Science of The Total Environment, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Tie-Jun Ling

53 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tie-Jun Ling China 26 1.3k 769 634 614 317 55 2.1k
Guan‐Hu Bao China 29 1.2k 0.9× 619 0.8× 913 1.4× 692 1.1× 359 1.1× 94 2.5k
Ashu Gulati India 26 858 0.7× 554 0.7× 556 0.9× 611 1.0× 503 1.6× 76 2.1k
Fumio Nanjo Japan 26 1.5k 1.2× 452 0.6× 713 1.1× 1.3k 2.1× 231 0.7× 33 2.7k
Kunbo Wang China 23 1.3k 1.0× 850 1.1× 583 0.9× 525 0.9× 304 1.0× 60 1.9k
Yongwen Jiang China 34 1.6k 1.3× 1.2k 1.6× 519 0.8× 813 1.3× 355 1.1× 76 2.7k
Lucy Sun Hwang Taiwan 28 524 0.4× 592 0.8× 626 1.0× 652 1.1× 787 2.5× 73 2.6k
Puming He China 23 511 0.4× 368 0.5× 334 0.5× 353 0.6× 489 1.5× 65 1.6k
Qunhua Peng China 26 1.7k 1.4× 1.3k 1.7× 600 0.9× 942 1.5× 283 0.9× 41 2.3k
Mathieu Renouf Switzerland 21 442 0.3× 342 0.4× 469 0.7× 582 0.9× 183 0.6× 29 1.7k
Andreas R. Rechner United Kingdom 16 469 0.4× 352 0.5× 634 1.0× 1.0k 1.6× 230 0.7× 20 2.1k

Countries citing papers authored by Tie-Jun Ling

Since Specialization
Citations

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

Fields of papers citing papers by Tie-Jun Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tie-Jun Ling. 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 Tie-Jun Ling. The network helps show where Tie-Jun Ling may publish in the future.

Co-authorship network of co-authors of Tie-Jun Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Tie-Jun Ling. A scholar is included among the top collaborators of Tie-Jun Ling 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 Tie-Jun Ling. Tie-Jun Ling 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.
Yan, Hui, et al.. (2025). Microbial and chemical diversity analysis reveals greater heterogeneity of Liubao tea than ripen Pu-erh tea. Food Research International. 203. 115808–115808.
2.
3.
Fang, Hua, Peng Zhou, Guan‐Hu Bao, & Tie-Jun Ling. (2022). Flavonoids in Lu’an GuaPian tea as potential inhibitors of TMA‐lyase in acute myocardial infarction. Journal of Food Biochemistry. 46(7). e14110–e14110. 7 indexed citations
4.
Yang, Chung S., et al.. (2022). Dark tea: A popular beverage with possible medicinal application. Chinese Herbal Medicines. 15(1). 33–36. 20 indexed citations
5.
Zhang, Yuanyuan, Peng Zhang, Yan Qi, et al.. (2022). Improving flavor of summer Keemun black tea by solid-state fermentation using Cordyceps militaris revealed by LC/MS-based metabolomics and GC/MS analysis. Food Chemistry. 407. 135172–135172. 43 indexed citations
6.
Wang, Shijie, et al.. (2022). Cytosolic Nudix Hydrolase 1 Is Involved in Geranyl β-Primeveroside Production in Tea. Frontiers in Plant Science. 13. 833682–833682. 3 indexed citations
7.
Wu, Ximing, Yufeng He, Fu‐Ming Wang, et al.. (2022). EGCG-derived polymeric oxidation products enhance insulin sensitivity in db/db mice. Redox Biology. 51. 102259–102259. 18 indexed citations
8.
Jiao, Weiting, Ruyan Hou, Jianchao Li, et al.. (2021). Enantiomer metabolism of acephate and its metabolite methamidophos in in vitro tea (Camellia sinensis L.) systems: Comparison between cell suspensions and excised tissues. The Science of The Total Environment. 806(Pt 4). 150863–150863. 10 indexed citations
9.
Ma, Yan, Tie-Jun Ling, Xiaoqin Su, et al.. (2020). Integrated proteomics and metabolomics analysis of tea leaves fermented by Aspergillus niger, Aspergillus tamarii and Aspergillus fumigatus. Food Chemistry. 334. 127560–127560. 141 indexed citations
10.
Cai, Mengyu, Yingying Qian, Nan Chen, et al.. (2020). Detoxification of aflatoxin B1 by Stenotrophomonas sp. CW117 and characterization the thermophilic degradation process. Environmental Pollution. 261. 114178–114178. 45 indexed citations
11.
Wang, Wei, Xinlong Dai, Hua Fang, et al.. (2017). Novel acetylcholinesterase inhibitors from Zijuan tea and biosynthetic pathway of caffeoylated catechin in tea plant. Food Chemistry. 237. 1172–1178. 44 indexed citations
12.
Floros, Dimitrios J., Daniel Petras, Clifford A. Kapono, et al.. (2017). Mass Spectrometry Based Molecular 3D-Cartography of Plant Metabolites. Frontiers in Plant Science. 8. 429–429. 23 indexed citations
13.
Wei, Yaqing, Pingping Chen, Tie-Jun Ling, et al.. (2016). Certain (−)-epigallocatechin-3-gallate (EGCG) auto-oxidation products (EAOPs) retain the cytotoxic activities of EGCG. Food Chemistry. 204. 218–226. 94 indexed citations
14.
Wan, Xiaochun, Daxiang Li, Zhengzhu Zhang, et al.. (2015). Research advance on tea biochemistry.. Chaye kexue. 35(1). 1–10. 3 indexed citations
15.
Zong, Jian-Fa, Ruilong Wang, Guan‐Hu Bao, et al.. (2015). Novel triterpenoid saponins from residual seed cake of Camellia oleifera Abel. show anti-proliferative activity against tumor cells. Fitoterapia. 104. 7–13. 74 indexed citations
16.
Yue, Yi, Gang-Xiu Chu, Wei Wang, et al.. (2014). TMDB: A literature-curated database for small molecular compounds found from tea. BMC Plant Biology. 14(1). 243–243. 68 indexed citations
17.
Zhang, Liang, Zhengzhu Zhang, Yibin Zhou, Tie-Jun Ling, & Xiaochun Wan. (2013). Chinese dark teas: Postfermentation, chemistry and biological activities. Food Research International. 53(2). 600–607. 184 indexed citations
18.
Yang, Shigao, Xi Zhang, Tie-Jun Ling, et al.. (2010). Diverse Ecdysterones Show Different Effects on Amyloid-β42 Aggregation but All Uniformly Inhibit Amyloid-β42-Induced Cytotoxicity. Journal of Alzheimer s Disease. 22(1). 107–117. 11 indexed citations
19.
Ling, Tie-Jun, et al.. (2009). Advances in chemical constituents in Serratula spp.. Anhui Nongye Daxue xuebao. 36(1). 26–32.
20.
Ling, Tie-Jun, et al.. (2004). Dihydrochalcones from Symplocos vacciniifolia. Chinese Chemical Letters. 15(10). 1182–1184. 10 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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